BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Venue Radar//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Scientific Conferences BEGIN:VEVENT UID:dynamics-days-asia-pacific-2024-conference@scientific-conference-calend ar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20240701 DTEND;VALUE=DATE:20240706 SUMMARY:[Nonlinear Dynamics & Chaos][Complex Systems & Network Science] Dyn amics Days Asia-Pacific 2024 - Conference DESCRIPTION:Conference title: Dynamics Days Asia-Pacific\nWebsite: https:// www2.yukawa.kyoto-u.ac.jp/~frontier24/DDAP13/\nSource URL: https://www2.y ukawa.kyoto-u.ac.jp/~frontier24/DDAP13/\nLocation: Kyoto\, Japan\nTopics: Nonlinear Dynamics & Chaos\, Complex Systems & Network Science\nSize: M\ nSubmission type: Talks/abstracts\; next call unannounced\nConfidence: co nfirmed\nLast checked date: 2026-10-08\nNotes: Latest officially verified edition is DDAP13/YKIS 2024\, part of a longer institute workshop. No su bsequent edition or reliable contribution cutoff was found. Historical bi ennial timing is not projected across a missing 2026 announcement. No ful l-paper proceedings promise is asserted\; monthly review must look for th e next call. Size is an editorial estimate.\nScope: Nonlinear dynamics an d nonequilibrium complex systems\, including chaos\, collective behavior\ , statistical physics and dynamics of learning. The latest verified meeti ng was linked to a broader Yukawa Institute workshop\; its invited-talk f ormat should not be mistaken for a verified open full-paper call.\nAdditi onal topics: Machine Learning\nScope sources (2024): https://www2.yukawa. kyoto-u.ac.jp/~frontier24/DDAP13/\, https://dynamicsdays.info/ap/\nScope last checked: 2026-10-08 URL:https://www2.yukawa.kyoto-u.ac.jp/~frontier24/DDAP13/ LOCATION:Kyoto\, Japan END:VEVENT BEGIN:VEVENT UID:lrec-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20251025T115900Z DTEND:20251025T125900Z SUMMARY:[Natural Language Processing & LLMs][Data Mining & Data Science] LR EC 2026 - Paper submission deadline DESCRIPTION:Conference title: Language Resources and Evaluation Conference\ nWebsite: https://lrec2026.info/\nSource URL: https://lrec2026.info/third -call-for-papers/\nLocation: Palma de Mallorca\, Spain\nTopics: Natural L anguage Processing & LLMs\, Data Mining & Data Science\, Signal Processin g\nSize: XL\nSubmission type: Paper-based\nConfidence: confirmed\nLast ch ecked date: 2026-10-07\nNotes: Archived full conference window includes w orkshops\; main sessions May 13-15. Resources\, datasets\, annotation and evaluation characterize the venue. Size is an editorial estimate.\nScope : Language resources\, annotation\, corpora and datasets\, speech and mul timodal resources\, benchmarking\, and evaluation for human-language tech nologies. Contributions often create or analyze reusable resources and me thods for linguistic coverage and reliable assessment. The breadth of lan guage applications is summarized without treating every domain as a defin ing topic.\nAdditional topics: Multimedia Learning & Retrieval\, Fairness & Responsible AI\nScope sources (2026): https://lrec2026.info/third-call -for-papers/\nScope last checked: 2026-10-07 URL:https://lrec2026.info/third-call-for-papers/ END:VEVENT BEGIN:VEVENT UID:ida-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20251122T115959Z DTEND:20251122T125959Z SUMMARY:[Data Mining & Data Science][Machine Learning] IDA 2026 - Abstract submission deadline DESCRIPTION:Conference title: International Symposium on Intelligent Data A nalysis\nWebsite: https://ida2026.org/\nSource URL: https://ida2026.org/r egular-paper-track/\nLocation: Leiden\, Netherlands\nTopics: Data Mining & Data Science\, Machine Learning\, Probabilistic\, Causal & Uncertainty ML\, Time Series & Sequential Data\nSize: M\nSubmission type: Paper-based / interdisciplinary\nConfidence: confirmed\nLast checked date: 2026-10-0 5\nNotes: Official IDA 2026 regular track confirms Leiden\, Apr 22-24\, 2 026\, and AoE submission deadlines. URL:https://ida2026.org/regular-paper-track/ END:VEVENT BEGIN:VEVENT UID:ida-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20251129T115959Z DTEND:20251129T125959Z SUMMARY:[Data Mining & Data Science][Machine Learning] IDA 2026 - Regular p aper submission deadline DESCRIPTION:Conference title: International Symposium on Intelligent Data A nalysis\nWebsite: https://ida2026.org/\nSource URL: https://ida2026.org/r egular-paper-track/\nLocation: Leiden\, Netherlands\nTopics: Data Mining & Data Science\, Machine Learning\, Probabilistic\, Causal & Uncertainty ML\, Time Series & Sequential Data\nSize: M\nSubmission type: Paper-based / interdisciplinary\nConfidence: confirmed\nLast checked date: 2026-10-0 5\nNotes: Official IDA 2026 regular track confirms Leiden\, Apr 22-24\, 2 026\, and AoE submission deadlines. URL:https://ida2026.org/regular-paper-track/ END:VEVENT BEGIN:VEVENT UID:midl-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20251204T115900Z DTEND:20251204T125900Z SUMMARY:[Biomedical Imaging][Deep Representation Learning] MIDL 2026 - Full paper registration deadline DESCRIPTION:Conference title: Medical Imaging with Deep Learning\nWebsite: https://2026.midl.io/\nSource URL: https://2026.midl.io/dates\nLocation: Taipei\, Taiwan\nTopics: Biomedical Imaging\, Deep Representation Learnin g\, Healthcare & Clinical AI\nSize: M\nSubmission type: Paper-based\nConf idence: confirmed\nLast checked date: 2026-08-20\nNotes: Official MIDL 20 26 pages list conference dates\, location\, and paper deadlines.\nScope: Deep learning for biomedical image analysis\, especially segmentation\, d etection\, reconstruction\, registration\, generative imaging\, and learn ing from limited labels. Uncertainty\, interpretability\, multi-site lear ning\, robustness\, and clinical validation extend that imaging core. Mul timodal foundation models are relevant when grounded in medical imaging.\ nAdditional topics: Computer Vision & Pattern Recognition\, Probabilistic \, Causal & Uncertainty ML\, Explainability & Interpretability\, Robustne ss & Safety\, Federated & Distributed Learning\nScope sources (2026): htt ps://2026.midl.io/call-for-papers\nScope last checked: 2026-10-07 URL:https://2026.midl.io/dates END:VEVENT BEGIN:VEVENT UID:ts4h-2025-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20251207 DTEND;VALUE=DATE:20251208 SUMMARY:[Time Series & Sequential Data][Healthcare & Clinical AI] TS4H 2025 - Conference DESCRIPTION:Conference title: Learning from Time Series for Health Workshop \nWebsite: https://timeseries4health.github.io/\nSource URL: https://time series4health.github.io/\nLocation: San Diego\, California\, USA\nTopics: Time Series & Sequential Data\, Healthcare & Clinical AI\, Signal Proces sing\, Explainability & Interpretability\nSize: S\nSubmission type: Works hop / paper-based\nConfidence: confirmed\nLast checked date: 2026-10-05\n Notes: Official TS4H page describes the completed NeurIPS 2025 workshop. No TS4H 2026 edition appears on the official NeurIPS 2026 workshop list\; the former 2026 placeholder has been retired. URL:https://timeseries4health.github.io/ LOCATION:San Diego\, California\, USA END:VEVENT BEGIN:VEVENT UID:midl-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20251211T115900Z DTEND:20251211T125900Z SUMMARY:[Biomedical Imaging][Deep Representation Learning] MIDL 2026 - Full paper submission deadline DESCRIPTION:Conference title: Medical Imaging with Deep Learning\nWebsite: https://2026.midl.io/\nSource URL: https://2026.midl.io/dates\nLocation: Taipei\, Taiwan\nTopics: Biomedical Imaging\, Deep Representation Learnin g\, Healthcare & Clinical AI\nSize: M\nSubmission type: Paper-based\nConf idence: confirmed\nLast checked date: 2026-08-20\nNotes: Official MIDL 20 26 pages list conference dates\, location\, and paper deadlines.\nScope: Deep learning for biomedical image analysis\, especially segmentation\, d etection\, reconstruction\, registration\, generative imaging\, and learn ing from limited labels. Uncertainty\, interpretability\, multi-site lear ning\, robustness\, and clinical validation extend that imaging core. Mul timodal foundation models are relevant when grounded in medical imaging.\ nAdditional topics: Computer Vision & Pattern Recognition\, Probabilistic \, Causal & Uncertainty ML\, Explainability & Interpretability\, Robustne ss & Safety\, Federated & Distributed Learning\nScope sources (2026): htt ps://2026.midl.io/call-for-papers\nScope last checked: 2026-10-07 URL:https://2026.midl.io/dates END:VEVENT BEGIN:VEVENT UID:icpr-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20251221T115900Z DTEND:20251221T125900Z SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] ICPR 2026 - Paper submission deadline DESCRIPTION:Conference title: International Conference on Pattern Recogniti on\nWebsite: https://icpr2026.org/\nSource URL: https://icpr2026.org/file s/flyerCallFP.pdf\nLocation: Lyon\, France\nTopics: Computer Vision & Pat tern Recognition\, Machine Learning\, Deep Representation Learning\, Biom edical Imaging\nSize: XL\nSubmission type: Paper-based\nConfidence: confi rmed\nLast checked date: 2026-09-14\nNotes: Official ICPR 2026 CFP confir ms Lyon\, Aug 17-22\, and the Dec 20\, 2025 main-paper submission deadlin e. URL:https://icpr2026.org/files/flyerCallFP.pdf END:VEVENT BEGIN:VEVENT UID:ijcai-ecai-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260113T115900Z DTEND:20260113T125900Z SUMMARY:[Machine Learning][Deep Representation Learning] IJCAI-ECAI 2026 - Abstract submission deadline DESCRIPTION:Conference title: International Joint Conference on Artificial Intelligence and European Conference on Artificial Intelligence\nWebsite: https://2026.ijcai.org/\nSource URL: https://2026.ijcai.org/ijcai-ecai-2 026-call-for-papers-main-track/\nLocation: Bremen\, Germany\nTopics: Mach ine Learning\, Deep Representation Learning\, Learning Theory & Statistic al Foundations\, Fairness & Responsible AI\nSize: XL\nSubmission type: Pa per-based\nConfidence: confirmed\nLast checked date: 2026-08-31\nNotes: O fficial IJCAI-ECAI 2026 pages confirm Bremen\, Aug 15-21\, and the Jan 12 abstract and Jan 19 full-paper deadlines. URL:https://2026.ijcai.org/ijcai-ecai-2026-call-for-papers-main-track/ END:VEVENT BEGIN:VEVENT UID:ijcai-ecai-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260120T115900Z DTEND:20260120T125900Z SUMMARY:[Machine Learning][Deep Representation Learning] IJCAI-ECAI 2026 - Full paper submission deadline DESCRIPTION:Conference title: International Joint Conference on Artificial Intelligence and European Conference on Artificial Intelligence\nWebsite: https://2026.ijcai.org/\nSource URL: https://2026.ijcai.org/ijcai-ecai-2 026-call-for-papers-main-track/\nLocation: Bremen\, Germany\nTopics: Mach ine Learning\, Deep Representation Learning\, Learning Theory & Statistic al Foundations\, Fairness & Responsible AI\nSize: XL\nSubmission type: Pa per-based\nConfidence: confirmed\nLast checked date: 2026-08-31\nNotes: O fficial IJCAI-ECAI 2026 pages confirm Bremen\, Aug 15-21\, and the Jan 12 abstract and Jan 19 full-paper deadlines. URL:https://2026.ijcai.org/ijcai-ecai-2026-call-for-papers-main-track/ END:VEVENT BEGIN:VEVENT UID:icml-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260124T115900Z DTEND:20260124T125900Z SUMMARY:[Machine Learning][Learning Theory & Statistical Foundations] ICML 2026 - Abstract submission deadline DESCRIPTION:Conference title: International Conference on Machine Learning\ nWebsite: https://icml.cc/Conferences/2026\nSource URL: https://icml.cc/C onferences/2026/Dates\nLocation: Seoul\, South Korea\nTopics: Machine Lea rning\, Learning Theory & Statistical Foundations\, Deep Representation L earning\, Time Series & Sequential Data\nSize: XXL\nSubmission type: Pape r-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Off icial ICML 2026 dates page lists tutorials\, main conference\, workshops\ , and paper deadlines.\nScope: Methodological and theoretical machine lea rning\, including supervised and unsupervised learning\, deep generative models\, optimization\, statistical learning theory\, Bayesian methods\, and reinforcement learning. Scalable systems and trustworthy learning are established parts of the scope\; application papers should offer contrib utions of wider interest to ML.\nAdditional topics: Probabilistic\, Causa l & Uncertainty ML\, Reinforcement Learning\, Explainability & Interpreta bility\, Robustness & Safety\, ML Systems & Infrastructure\, Federated & Distributed Learning\nScope sources (2026): https://icml.cc/Conferences/2 026/CallForPapers\nScope last checked: 2026-10-07 URL:https://icml.cc/Conferences/2026/Dates END:VEVENT BEGIN:VEVENT UID:icml-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260129T115900Z DTEND:20260129T125900Z SUMMARY:[Machine Learning][Learning Theory & Statistical Foundations] ICML 2026 - Full paper submission deadline DESCRIPTION:Conference title: International Conference on Machine Learning\ nWebsite: https://icml.cc/Conferences/2026\nSource URL: https://icml.cc/C onferences/2026/Dates\nLocation: Seoul\, South Korea\nTopics: Machine Lea rning\, Learning Theory & Statistical Foundations\, Deep Representation L earning\, Time Series & Sequential Data\nSize: XXL\nSubmission type: Pape r-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Off icial ICML 2026 dates page lists tutorials\, main conference\, workshops\ , and paper deadlines.\nScope: Methodological and theoretical machine lea rning\, including supervised and unsupervised learning\, deep generative models\, optimization\, statistical learning theory\, Bayesian methods\, and reinforcement learning. Scalable systems and trustworthy learning are established parts of the scope\; application papers should offer contrib utions of wider interest to ML.\nAdditional topics: Probabilistic\, Causa l & Uncertainty ML\, Reinforcement Learning\, Explainability & Interpreta bility\, Robustness & Safety\, ML Systems & Infrastructure\, Federated & Distributed Learning\nScope sources (2026): https://icml.cc/Conferences/2 026/CallForPapers\nScope last checked: 2026-10-07 URL:https://icml.cc/Conferences/2026/Dates END:VEVENT BEGIN:VEVENT UID:areadne-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260130 DTEND;VALUE=DATE:20260131 SUMMARY:[Systems & Experimental Neuroscience][Computational Neuroscience] A READNE 2026 - Contributed talk/poster abstract submission deadline (cutof f time unannounced) DESCRIPTION:Conference title: AREADNE: Research in Encoding and Decoding of Neural Ensembles\nWebsite: https://areadne.org/\nSource URL: https://are adne.org/\nLocation: Milos\, Greece\nTopics: Systems & Experimental Neuro science\, Computational Neuroscience\, BCI & Neurotechnology\nSize: S\nSu bmission type: Abstract-based\nConfidence: confirmed\nLast checked date: 2026-10-08\nNotes: Historical biennial meeting. June 23 is the welcome re ception\; scientific sessions follow. Proceedings are an abstract book\, not archival full papers. Abstracts opened January 12\, 2026\; exact open ing and cutoff hours were not announced. Size is an editorial estimate.\n Scope: Encoding and decoding of neural ensembles\, with emphasis on syste ms neuroscience\, neural population recordings\, neural representations\, computation and links to behavior. It is a focused experimental/computat ional neuroscience meeting rather than a general neuroscience congress. C ontributions are reviewed abstracts for talks and posters\; its proceedin gs book is a collection of abstracts.\nAdditional topics: Cognitive Scien ce & Computational Cognition\nScope sources (2026): https://areadne.org/\ nScope last checked: 2026-10-08\nOfficial deadline day\; exact cutoff hou r/timezone is unannounced. Verify the organizer's submission portal. URL:https://areadne.org/ END:VEVENT BEGIN:VEVENT UID:kdd-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260202T115900Z DTEND:20260202T125900Z SUMMARY:[Data Mining & Data Science][Machine Learning] KDD 2026 - Abstract submission deadline DESCRIPTION:Conference title: ACM SIGKDD Conference on Knowledge Discovery and Data Mining\nWebsite: https://kdd2026.kdd.org/\nSource URL: https://k dd2026.kdd.org/research-track-call-for-papers/\nLocation: Jeju\, Korea\nT opics: Data Mining & Data Science\, Machine Learning\, Time Series & Sequ ential Data\, Federated & Distributed Learning\nSize: XL\nSubmission type : Paper-based / mixed tracks\nConfidence: confirmed\nLast checked date: 2 026-08-20\nNotes: Official SIGKDD and KDD 2026 pages list conference date s and research-track Cycle 2 deadlines.\nScope: Knowledge discovery and d ata science\, centered on extracting useful structure from large\, hetero geneous data. Characteristic areas include clustering\, structured and re lational learning\, graph and text mining\, recommender systems\, scalabl e data analysis\, and responsible data use. Generative AI is relevant whe n it advances data science\, not simply because a paper uses an LLM.\nAdd itional topics: Deep Representation Learning\, Natural Language Processin g & LLMs\, Explainability & Interpretability\, Privacy-preserving ML\, ML Systems & Infrastructure\nScope sources (2027): https://kdd2027.kdd.org/ research-track-call-for-papers/\nScope last checked: 2026-10-07 URL:https://kdd2026.kdd.org/research-track-call-for-papers/ END:VEVENT BEGIN:VEVENT UID:ieee-embc-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260204T045900Z DTEND:20260204T055900Z SUMMARY:[Healthcare & Clinical AI][Signal Processing] IEEE EMBC 2026 - Full paper submission deadline (estimated) DESCRIPTION:Conference title: IEEE Engineering in Medicine and Biology Conf erence\nWebsite: https://embc.embs.org/2026/\nSource URL: https://embc.em bs.org/2026/key-dates/\nLocation: Toronto\, Canada\nTopics: Healthcare & Clinical AI\, Signal Processing\, EEG/MEG & Neural Signals\, BCI & Neurot echnology\nSize: XL\nSubmission type: Paper-based / broad applied venue\n Confidence: estimated\nLast checked date: 2026-09-14\nNotes: Official EMB C page confirms conference dates. Submission dates were already marked cl osed on the official key-dates page\, so the deadline is a proxy and shou ld be backfilled when archival CFP data is available. URL:https://embc.embs.org/2026/key-dates/ END:VEVENT BEGIN:VEVENT UID:chil-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260205T115900Z DTEND:20260205T125900Z SUMMARY:[Healthcare & Clinical AI][Probabilistic\, Causal & Uncertainty ML] CHIL 2026 - Submissions due DESCRIPTION:Conference title: Conference on Health\, Inference\, and Learni ng\nWebsite: https://chil.ahli.cc/\nSource URL: https://chil.ahli.cc/subm it/call-for-papers/\nLocation: Seattle\, Washington\, USA\nTopics: Health care & Clinical AI\, Probabilistic\, Causal & Uncertainty ML\, Fairness & Responsible AI\, Machine Learning\nSize: M\nSubmission type: Paper-based \nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official C HIL pages list conference dates\, location\, and submission timeline.\nSc ope: Machine learning and inference for clinical\, public\, and populatio n health. Distinguishing areas include causal inference\, survival analys is\, multimodal health data\, generalization across populations\, interpr etability\, and clinical evaluation and deployment. Research may emphasiz e methods\, practical applications\, or societal impact. Health-focused i nference and evaluation remain the common thread across these tracks.\nAd ditional topics: Explainability & Interpretability\, Human-AI Interaction & Deployment\, Robustness & Safety\, Time Series & Sequential Data\nScop e sources (2026): https://chil.ahli.cc/submit/call-for-papers/\nScope las t checked: 2026-10-07 URL:https://chil.ahli.cc/submit/call-for-papers/ END:VEVENT BEGIN:VEVENT UID:ida-2026-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260207T115959Z DTEND:20260207T125959Z SUMMARY:[Data Mining & Data Science][Machine Learning] IDA 2026 - Camera-re ady deadline DESCRIPTION:Conference title: International Symposium on Intelligent Data A nalysis\nWebsite: https://ida2026.org/\nSource URL: https://ida2026.org/r egular-paper-track/\nLocation: Leiden\, Netherlands\nTopics: Data Mining & Data Science\, Machine Learning\, Probabilistic\, Causal & Uncertainty ML\, Time Series & Sequential Data\nSize: M\nSubmission type: Paper-based / interdisciplinary\nConfidence: confirmed\nLast checked date: 2026-10-0 5\nNotes: Official IDA 2026 regular track confirms Leiden\, Apr 22-24\, 2 026\, and AoE submission deadlines. URL:https://ida2026.org/regular-paper-track/ END:VEVENT BEGIN:VEVENT UID:kdd-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260209T115900Z DTEND:20260209T125900Z SUMMARY:[Data Mining & Data Science][Machine Learning] KDD 2026 - Paper sub mission deadline DESCRIPTION:Conference title: ACM SIGKDD Conference on Knowledge Discovery and Data Mining\nWebsite: https://kdd2026.kdd.org/\nSource URL: https://k dd2026.kdd.org/research-track-call-for-papers/\nLocation: Jeju\, Korea\nT opics: Data Mining & Data Science\, Machine Learning\, Time Series & Sequ ential Data\, Federated & Distributed Learning\nSize: XL\nSubmission type : Paper-based / mixed tracks\nConfidence: confirmed\nLast checked date: 2 026-08-20\nNotes: Official SIGKDD and KDD 2026 pages list conference date s and research-track Cycle 2 deadlines.\nScope: Knowledge discovery and d ata science\, centered on extracting useful structure from large\, hetero geneous data. Characteristic areas include clustering\, structured and re lational learning\, graph and text mining\, recommender systems\, scalabl e data analysis\, and responsible data use. Generative AI is relevant whe n it advances data science\, not simply because a paper uses an LLM.\nAdd itional topics: Deep Representation Learning\, Natural Language Processin g & LLMs\, Explainability & Interpretability\, Privacy-preserving ML\, ML Systems & Infrastructure\nScope sources (2027): https://kdd2027.kdd.org/ research-track-call-for-papers/\nScope last checked: 2026-10-07 URL:https://kdd2026.kdd.org/research-track-call-for-papers/ END:VEVENT BEGIN:VEVENT UID:ccn-2026-deadline-full-paper-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260210T115900Z DTEND:20260210T125900Z SUMMARY:[Computational Neuroscience][Deep Representation Learning] CCN 2026 - 8-page paper abstract deadline DESCRIPTION:Conference title: Conference on Cognitive Computational Neurosc ience\nWebsite: https://2026.ccneuro.org/\nSource URL: https://2026.ccneu ro.org/dates-and-deadlines/\nLocation: New York\, New York\, USA\nTopics: Computational Neuroscience\, Deep Representation Learning\, Neuroimaging & Brain Mapping\, Machine Learning\nSize: M\nSubmission type: Mixed: pro ceedings + extended abstracts\nConfidence: confirmed\nLast checked date: 2026-08-31\nNotes: Official CCN 2026 pages confirm New York University\, Aug 3-6\, and the two submission-track deadlines.\nScope: Cognitive compu tational neuroscience\, connecting experiments and models of brain comput ation with artificial intelligence. Characteristic work compares biologic al and artificial representations\, models perception\, cognition and act ion\, studies neural connectivity and dynamics\, and uses mechanistic int erpretability to understand neural-network models. The aim is understandi ng computation and behavior across brains and AI systems.\nAdditional top ics: Cognitive Science & Computational Cognition\, Explainability & Inter pretability\nScope sources (2027): https://2027.ccneuro.org/\nScope last checked: 2026-10-07 URL:https://2026.ccneuro.org/dates-and-deadlines/ END:VEVENT BEGIN:VEVENT UID:ccn-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260213T115900Z DTEND:20260213T125900Z SUMMARY:[Computational Neuroscience][Deep Representation Learning] CCN 2026 - 8-page full paper submission deadline DESCRIPTION:Conference title: Conference on Cognitive Computational Neurosc ience\nWebsite: https://2026.ccneuro.org/\nSource URL: https://2026.ccneu ro.org/dates-and-deadlines/\nLocation: New York\, New York\, USA\nTopics: Computational Neuroscience\, Deep Representation Learning\, Neuroimaging & Brain Mapping\, Machine Learning\nSize: M\nSubmission type: Mixed: pro ceedings + extended abstracts\nConfidence: confirmed\nLast checked date: 2026-08-31\nNotes: Official CCN 2026 pages confirm New York University\, Aug 3-6\, and the two submission-track deadlines.\nScope: Cognitive compu tational neuroscience\, connecting experiments and models of brain comput ation with artificial intelligence. Characteristic work compares biologic al and artificial representations\, models perception\, cognition and act ion\, studies neural connectivity and dynamics\, and uses mechanistic int erpretability to understand neural-network models. The aim is understandi ng computation and behavior across brains and AI systems.\nAdditional top ics: Cognitive Science & Computational Cognition\, Explainability & Inter pretability\nScope sources (2027): https://2027.ccneuro.org/\nScope last checked: 2026-10-07 URL:https://2026.ccneuro.org/dates-and-deadlines/ END:VEVENT BEGIN:VEVENT UID:miccai-2026-deadline-registration@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260213T115900Z DTEND:20260213T125900Z SUMMARY:[Biomedical Imaging][Healthcare & Clinical AI] MICCAI 2026 - Paper registration deadline DESCRIPTION:Conference title: International Conference on Medical Image Com puting and Computer Assisted Intervention\nWebsite: https://conferences.m iccai.org/2026/en/default.asp\nSource URL: https://conferences.miccai.org /2026/en/default.asp\nLocation: Strasbourg\, France\nTopics: Biomedical I maging\, Healthcare & Clinical AI\, Deep Representation Learning\, Neuroi maging & Brain Mapping\nSize: XL\nSubmission type: Paper-based\nConfidenc e: confirmed\nLast checked date: 2026-08-20\nNotes: Official MICCAI Socie ty pages list the relocated Strasbourg venue\, Sep 27-Oct 1 dates\, and p aper registration/submission deadlines. URL:https://conferences.miccai.org/2026/en/default.asp END:VEVENT BEGIN:VEVENT UID:eusipco-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260213T225900Z DTEND:20260213T235900Z SUMMARY:[Signal Processing][Machine Learning] EUSIPCO 2026 - Conference pap er submission deadline DESCRIPTION:Conference title: European Signal Processing Conference\nWebsit e: https://eusipco2026.org/\nSource URL: https://eusipco2026.org/submissi ons/\nLocation: Bruges\, Belgium\nTopics: Signal Processing\, Machine Lea rning\, Time Series & Sequential Data\, Computer Vision & Pattern Recogni tion\nSize: XL\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official EUSIPCO 2026 pages list Bruges \, Aug 31-Sep 4\, and the extended conference-paper deadline. URL:https://eusipco2026.org/submissions/ END:VEVENT BEGIN:VEVENT UID:icml-2026-deadline-workshop@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260214T115900Z DTEND:20260214T125900Z SUMMARY:[Machine Learning][Learning Theory & Statistical Foundations] ICML 2026 - Workshop application deadline DESCRIPTION:Conference title: International Conference on Machine Learning\ nWebsite: https://icml.cc/Conferences/2026\nSource URL: https://icml.cc/C onferences/2026/Dates\nLocation: Seoul\, South Korea\nTopics: Machine Lea rning\, Learning Theory & Statistical Foundations\, Deep Representation L earning\, Time Series & Sequential Data\nSize: XXL\nSubmission type: Pape r-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Off icial ICML 2026 dates page lists tutorials\, main conference\, workshops\ , and paper deadlines.\nScope: Methodological and theoretical machine lea rning\, including supervised and unsupervised learning\, deep generative models\, optimization\, statistical learning theory\, Bayesian methods\, and reinforcement learning. Scalable systems and trustworthy learning are established parts of the scope\; application papers should offer contrib utions of wider interest to ML.\nAdditional topics: Probabilistic\, Causa l & Uncertainty ML\, Reinforcement Learning\, Explainability & Interpreta bility\, Robustness & Safety\, ML Systems & Infrastructure\, Federated & Distributed Learning\nScope sources (2026): https://icml.cc/Conferences/2 026/CallForPapers\nScope last checked: 2026-10-07 URL:https://icml.cc/Conferences/2026/Dates END:VEVENT BEGIN:VEVENT UID:uai-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260226T115900Z DTEND:20260226T125900Z SUMMARY:[Probabilistic\, Causal & Uncertainty ML][Machine Learning] UAI 202 6 - Paper submission deadline DESCRIPTION:Conference title: Conference on Uncertainty in Artificial Intel ligence\nWebsite: https://www.auai.org/uai2026/\nSource URL: https://www. auai.org/uai2026/important_dates\nLocation: Amsterdam\, Netherlands\nTopi cs: Probabilistic\, Causal & Uncertainty ML\, Machine Learning\, Learning Theory & Statistical Foundations\nSize: L\nSubmission type: Paper-based\ nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official UA I 2026 pages list tutorials\, main conference\, workshops\, and paper sub mission deadline.\nScope: Learning and reasoning under uncertainty\, cent ered on probabilistic and Bayesian modeling\, graphical models\, causal i nference\, approximate inference\, and decision theory. Includes Monte Ca rlo and variational methods\, uncertainty quantification\, sequential mod els\, and principled analysis of learning algorithms. Uncertainty is the organizing theme\, not just another application of general-purpose AI.\nA dditional topics: Deep Representation Learning\, Reinforcement Learning\, Time Series & Sequential Data\, Explainability & Interpretability\, Robu stness & Safety\nScope sources (2026): https://www.auai.org/uai2026/subje ct_areas\, https://www.auai.org/uai2026/call_for_papers\nScope last check ed: 2026-10-07 URL:https://www.auai.org/uai2026/important_dates END:VEVENT BEGIN:VEVENT UID:eccv-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260226T220000Z DTEND:20260226T230000Z SUMMARY:[Computer Vision & Pattern Recognition][Deep Representation Learnin g] ECCV 2026 - Paper registration deadline DESCRIPTION:Conference title: European Conference on Computer Vision\nWebsi te: https://eccv.ecva.net/Conferences/2026\nSource URL: https://eccv.ecva .net/Conferences/2026/Dates\nLocation: Malmo\, Sweden\nTopics: Computer V ision & Pattern Recognition\, Deep Representation Learning\, Machine Lear ning\nSize: XXL\nSubmission type: Paper-based / Springer proceedings\nCon fidence: confirmed\nLast checked date: 2026-10-07\nNotes: Completed 2026 edition retained for the archive. Official dates use 23:00 CET for regist ration/papers (22:00 UTC)\, but camera-ready is AoE. ECCV is biennial in even years. XXL is supported by the 2024 organizers' report of 6\,705 par ticipants.\nScope: Broad research in visual perception\, representation l earning\, recognition\, segmentation\, 3D geometry and reconstruction\, c omputational imaging\, and image/video synthesis. Vision-language models\ , multimodal understanding\, human motion and appearance\, and robust vis ual systems extend this core. ECCV is the biennial European flagship for computer vision\; the scope uses the actual published 2026 CFP\, not an i nvented 2028 call.\nAdditional topics: Computer Graphics & Visualization\ , Multimedia Learning & Retrieval\, Natural Language Processing & LLMs\, Biometrics & Human Sensing\, Robustness & Safety\nScope sources (2026): h ttps://eccv.ecva.net/Conferences/2026/CallForPapers\nScope last checked: 2026-10-07 URL:https://eccv.ecva.net/Conferences/2026/Dates END:VEVENT BEGIN:VEVENT UID:miccai-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260227T115900Z DTEND:20260227T125900Z SUMMARY:[Biomedical Imaging][Healthcare & Clinical AI] MICCAI 2026 - Full p aper submission deadline DESCRIPTION:Conference title: International Conference on Medical Image Com puting and Computer Assisted Intervention\nWebsite: https://conferences.m iccai.org/2026/en/default.asp\nSource URL: https://conferences.miccai.org /2026/en/default.asp\nLocation: Strasbourg\, France\nTopics: Biomedical I maging\, Healthcare & Clinical AI\, Deep Representation Learning\, Neuroi maging & Brain Mapping\nSize: XL\nSubmission type: Paper-based\nConfidenc e: confirmed\nLast checked date: 2026-08-20\nNotes: Official MICCAI Socie ty pages list the relocated Strasbourg venue\, Sep 27-Oct 1 dates\, and p aper registration/submission deadlines. URL:https://conferences.miccai.org/2026/en/default.asp END:VEVENT BEGIN:VEVENT UID:eccv-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260305T220000Z DTEND:20260305T230000Z SUMMARY:[Computer Vision & Pattern Recognition][Deep Representation Learnin g] ECCV 2026 - Paper submission deadline DESCRIPTION:Conference title: European Conference on Computer Vision\nWebsi te: https://eccv.ecva.net/Conferences/2026\nSource URL: https://eccv.ecva .net/Conferences/2026/Dates\nLocation: Malmo\, Sweden\nTopics: Computer V ision & Pattern Recognition\, Deep Representation Learning\, Machine Lear ning\nSize: XXL\nSubmission type: Paper-based / Springer proceedings\nCon fidence: confirmed\nLast checked date: 2026-10-07\nNotes: Completed 2026 edition retained for the archive. Official dates use 23:00 CET for regist ration/papers (22:00 UTC)\, but camera-ready is AoE. ECCV is biennial in even years. XXL is supported by the 2024 organizers' report of 6\,705 par ticipants.\nScope: Broad research in visual perception\, representation l earning\, recognition\, segmentation\, 3D geometry and reconstruction\, c omputational imaging\, and image/video synthesis. Vision-language models\ , multimodal understanding\, human motion and appearance\, and robust vis ual systems extend this core. ECCV is the biennial European flagship for computer vision\; the scope uses the actual published 2026 CFP\, not an i nvented 2028 call.\nAdditional topics: Computer Graphics & Visualization\ , Multimedia Learning & Retrieval\, Natural Language Processing & LLMs\, Biometrics & Human Sensing\, Robustness & Safety\nScope sources (2026): h ttps://eccv.ecva.net/Conferences/2026/CallForPapers\nScope last checked: 2026-10-07 URL:https://eccv.ecva.net/Conferences/2026/Dates END:VEVENT BEGIN:VEVENT UID:ecml-pkdd-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260306T115900Z DTEND:20260306T125900Z SUMMARY:[Machine Learning][Data Mining & Data Science] ECML PKDD 2026 - Abs tract submission deadline DESCRIPTION:Conference title: European Conference on Machine Learning and P rinciples and Practice of Knowledge Discovery in Databases\nWebsite: http s://ecmlpkdd.org/2026/\nSource URL: https://ecmlpkdd.org/2026/submissions -research-track/\nLocation: Naples\, Italy\nTopics: Machine Learning\, Da ta Mining & Data Science\, Time Series & Sequential Data\, Explainability & Interpretability\nSize: L\nSubmission type: Paper-based / mixed tracks \nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official E CML PKDD 2026 pages list Naples\, Sep 7-11\, and the research-track abstr act and paper deadlines. URL:https://ecmlpkdd.org/2026/submissions-research-track/ END:VEVENT BEGIN:VEVENT UID:areadne-2026-deadline-notification@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260306 DTEND;VALUE=DATE:20260307 SUMMARY:[Systems & Experimental Neuroscience][Computational Neuroscience] A READNE 2026 - Abstract acceptance notification (cutoff time unannounced) DESCRIPTION:Conference title: AREADNE: Research in Encoding and Decoding of Neural Ensembles\nWebsite: https://areadne.org/\nSource URL: https://are adne.org/\nLocation: Milos\, Greece\nTopics: Systems & Experimental Neuro science\, Computational Neuroscience\, BCI & Neurotechnology\nSize: S\nSu bmission type: Abstract-based\nConfidence: confirmed\nLast checked date: 2026-10-08\nNotes: Historical biennial meeting. June 23 is the welcome re ception\; scientific sessions follow. Proceedings are an abstract book\, not archival full papers. Abstracts opened January 12\, 2026\; exact open ing and cutoff hours were not announced. Size is an editorial estimate.\n Scope: Encoding and decoding of neural ensembles\, with emphasis on syste ms neuroscience\, neural population recordings\, neural representations\, computation and links to behavior. It is a focused experimental/computat ional neuroscience meeting rather than a general neuroscience congress. C ontributions are reviewed abstracts for talks and posters\; its proceedin gs book is a collection of abstracts.\nAdditional topics: Cognitive Scien ce & Computational Cognition\nScope sources (2026): https://areadne.org/\ nScope last checked: 2026-10-08\nOfficial deadline day\; exact cutoff hou r/timezone is unannounced. Verify the organizer's submission portal. URL:https://areadne.org/ END:VEVENT BEGIN:VEVENT UID:eccv-2026-deadline-supplementary@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260312T220000Z DTEND:20260312T230000Z SUMMARY:[Computer Vision & Pattern Recognition][Deep Representation Learnin g] ECCV 2026 - Supplementary material deadline DESCRIPTION:Conference title: European Conference on Computer Vision\nWebsi te: https://eccv.ecva.net/Conferences/2026\nSource URL: https://eccv.ecva .net/Conferences/2026/Dates\nLocation: Malmo\, Sweden\nTopics: Computer V ision & Pattern Recognition\, Deep Representation Learning\, Machine Lear ning\nSize: XXL\nSubmission type: Paper-based / Springer proceedings\nCon fidence: confirmed\nLast checked date: 2026-10-07\nNotes: Completed 2026 edition retained for the archive. Official dates use 23:00 CET for regist ration/papers (22:00 UTC)\, but camera-ready is AoE. ECCV is biennial in even years. XXL is supported by the 2024 organizers' report of 6\,705 par ticipants.\nScope: Broad research in visual perception\, representation l earning\, recognition\, segmentation\, 3D geometry and reconstruction\, c omputational imaging\, and image/video synthesis. Vision-language models\ , multimodal understanding\, human motion and appearance\, and robust vis ual systems extend this core. ECCV is the biennial European flagship for computer vision\; the scope uses the actual published 2026 CFP\, not an i nvented 2028 call.\nAdditional topics: Computer Graphics & Visualization\ , Multimedia Learning & Retrieval\, Natural Language Processing & LLMs\, Biometrics & Human Sensing\, Robustness & Safety\nScope sources (2026): h ttps://eccv.ecva.net/Conferences/2026/CallForPapers\nScope last checked: 2026-10-07 URL:https://eccv.ecva.net/Conferences/2026/Dates END:VEVENT BEGIN:VEVENT UID:ecml-pkdd-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260313T115900Z DTEND:20260313T125900Z SUMMARY:[Machine Learning][Data Mining & Data Science] ECML PKDD 2026 - Ful l paper submission deadline DESCRIPTION:Conference title: European Conference on Machine Learning and P rinciples and Practice of Knowledge Discovery in Databases\nWebsite: http s://ecmlpkdd.org/2026/\nSource URL: https://ecmlpkdd.org/2026/submissions -research-track/\nLocation: Naples\, Italy\nTopics: Machine Learning\, Da ta Mining & Data Science\, Time Series & Sequential Data\, Explainability & Interpretability\nSize: L\nSubmission type: Paper-based / mixed tracks \nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official E CML PKDD 2026 pages list Naples\, Sep 7-11\, and the research-track abstr act and paper deadlines. URL:https://ecmlpkdd.org/2026/submissions-research-track/ END:VEVENT BEGIN:VEVENT UID:chil-2026-deadline-doctoral-symposium@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260314T115900Z DTEND:20260314T125900Z SUMMARY:[Healthcare & Clinical AI][Probabilistic\, Causal & Uncertainty ML] CHIL 2026 - Doctoral symposium application DESCRIPTION:Conference title: Conference on Health\, Inference\, and Learni ng\nWebsite: https://chil.ahli.cc/\nSource URL: https://chil.ahli.cc/\nLo cation: Seattle\, Washington\, USA\nTopics: Healthcare & Clinical AI\, Pr obabilistic\, Causal & Uncertainty ML\, Fairness & Responsible AI\, Machi ne Learning\nSize: M\nSubmission type: Paper-based\nConfidence: confirmed \nLast checked date: 2026-08-20\nNotes: Official CHIL pages list conferen ce dates\, location\, and submission timeline.\nScope: Machine learning a nd inference for clinical\, public\, and population health. Distinguishin g areas include causal inference\, survival analysis\, multimodal health data\, generalization across populations\, interpretability\, and clinica l evaluation and deployment. Research may emphasize methods\, practical a pplications\, or societal impact. Health-focused inference and evaluation remain the common thread across these tracks.\nAdditional topics: Explai nability & Interpretability\, Human-AI Interaction & Deployment\, Robustn ess & Safety\, Time Series & Sequential Data\nScope sources (2026): https ://chil.ahli.cc/submit/call-for-papers/\nScope last checked: 2026-10-07 URL:https://chil.ahli.cc/ END:VEVENT BEGIN:VEVENT UID:lrec-2026-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260316T115900Z DTEND:20260316T125900Z SUMMARY:[Natural Language Processing & LLMs][Data Mining & Data Science] LR EC 2026 - Camera-ready deadline DESCRIPTION:Conference title: Language Resources and Evaluation Conference\ nWebsite: https://lrec2026.info/\nSource URL: https://lrec2026.info/third -call-for-papers/\nLocation: Palma de Mallorca\, Spain\nTopics: Natural L anguage Processing & LLMs\, Data Mining & Data Science\, Signal Processin g\nSize: XL\nSubmission type: Paper-based\nConfidence: confirmed\nLast ch ecked date: 2026-10-07\nNotes: Archived full conference window includes w orkshops\; main sessions May 13-15. Resources\, datasets\, annotation and evaluation characterize the venue. Size is an editorial estimate.\nScope : Language resources\, annotation\, corpora and datasets\, speech and mul timodal resources\, benchmarking\, and evaluation for human-language tech nologies. Contributions often create or analyze reusable resources and me thods for linguistic coverage and reliable assessment. The breadth of lan guage applications is summarized without treating every domain as a defin ing topic.\nAdditional topics: Multimedia Learning & Retrieval\, Fairness & Responsible AI\nScope sources (2026): https://lrec2026.info/third-call -for-papers/\nScope last checked: 2026-10-07 URL:https://lrec2026.info/third-call-for-papers/ END:VEVENT BEGIN:VEVENT UID:icann-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260317T115900Z DTEND:20260317T125900Z SUMMARY:[Machine Learning][Deep Representation Learning] ICANN 2026 - Full paper and abstract submission deadline DESCRIPTION:Conference title: International Conference on Artificial Neural Networks\nWebsite: https://e-nns.org/icann2026/\nSource URL: https://e-n ns.org/icann2026/\nLocation: Padua\, Italy\nTopics: Machine Learning\, De ep Representation Learning\, Computational Neuroscience\, Signal Processi ng\nSize: L\nSubmission type: Paper-based\nConfidence: confirmed\nLast ch ecked date: 2026-08-20\nNotes: Official ENNS ICANN 2026 page lists Padua\ , Sep 14-17\, and the full-paper/abstract deadline. URL:https://e-nns.org/icann2026/ END:VEVENT BEGIN:VEVENT UID:cns-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260319T115900Z DTEND:20260319T125900Z SUMMARY:[Computational Neuroscience][Time Series & Sequential Data] CNS* 20 26 - Abstract submission deadline DESCRIPTION:Conference title: Computational Neuroscience Annual Meeting\nWe bsite: https://www.cnsorg.org/cns-2026\nSource URL: https://www.cnsorg.or g/cns-2026-dates\nLocation: Halifax\, Canada\nTopics: Computational Neuro science\, Time Series & Sequential Data\, Machine Learning\nSize: M\nSubm ission type: Abstract-based\nConfidence: confirmed\nLast checked date: 20 26-08-31\nNotes: Official CNS* 2026 dates page confirms Halifax\, Jul 11- 15\, and the Mar 18 extended abstract deadline. URL:https://www.cnsorg.org/cns-2026-dates END:VEVENT BEGIN:VEVENT UID:acm-mm-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260325 DTEND;VALUE=DATE:20260326 SUMMARY:[Multimedia Learning & Retrieval][Computer Vision & Pattern Recogni tion] ACM MM 2026 - Main-track contribution registration deadline (cutoff time unannounced) DESCRIPTION:Conference title: ACM International Conference on Multimedia\nW ebsite: https://2026.acmmm.org/\nSource URL: https://2026.acmmm.org/site/ important-dates.html\nLocation: Rio de Janeiro\, Brazil\nTopics: Multimed ia Learning & Retrieval\, Computer Vision & Pattern Recognition\, Deep Re presentation Learning\, Signal Processing\nSize: XL\nSubmission type: Pap er-based / multimedia research\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official 2026 pages confirm Rio and deadline days. Th e retrieved important-dates page has no cutoff hour or timezone\, so the stored AoE timestamps are provisional. Main\, BNI\, and dataset tracks sh are March/April deadlines\; workshop papers have their own route. XL is a n editorial estimate.\nScope: Multimedia understanding\, learning\, gener ation\, and retrieval across image\, video\, audio\, language\, and other modalities. Characteristic work includes multimodal fusion\, generative and foundation models\, scalable indexing and search\, cross-modal alignm ent\, and human-centered multimedia experiences. The 2026 steering-commit tee scope also emphasizes explainability. Healthcare\, education\, and en tertainment are applications\, not blanket topical identities.\nAdditiona l topics: Machine Learning\, Natural Language Processing & LLMs\, Human-A I Interaction & Deployment\, Data Mining & Data Science\, Explainability & Interpretability\nScope sources (2026): https://2026.acmmm.org/site/top ics.html\, https://2026.acmmm.org/\nScope last checked: 2026-10-07\nOffic ial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://2026.acmmm.org/site/important-dates.html END:VEVENT BEGIN:VEVENT UID:colm-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260327T115900Z DTEND:20260327T125900Z SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] COLM 2026 - Mandatory abstract deadline DESCRIPTION:Conference title: Conference on Language Modeling\nWebsite: htt ps://colm.cc/\nSource URL: https://colm.cc/Conferences/2026/CallForPapers \nLocation: San Francisco\, California\, USA\nTopics: Natural Language Pr ocessing & LLMs\, Deep Representation Learning\, LLM Agents & Tool Use\, Information Retrieval & Search\nSize: L\nSubmission type: Paper-based\nCo nfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Third annual e dition\, Hilton Union Square. Ongoing conference with new-paper submissio ns closed\; October 9 workshops included. Size is an editorial estimate.\ nScope: Language-model foundations and methods: training and architecture \, data and scaling\, inference and generation\, evaluation\, reasoning\, retrieval augmentation\, and tool-using language agents. Alignment\, int erpretability\, and multimodal language models are meaningful extensions. A central language-model contribution distinguishes the conference from generic AI applications.\nAdditional topics: Learning Theory & Statistica l Foundations\, Explainability & Interpretability\, Robustness & Safety\, Fairness & Responsible AI\, Multimedia Learning & Retrieval\nScope sourc es (2026): https://colm.cc/Conferences/2026/CallForPapers\nScope last che cked: 2026-10-07 URL:https://colm.cc/Conferences/2026/CallForPapers END:VEVENT BEGIN:VEVENT UID:colm-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260401T115900Z DTEND:20260401T125900Z SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] COLM 2026 - Paper submission deadline DESCRIPTION:Conference title: Conference on Language Modeling\nWebsite: htt ps://colm.cc/\nSource URL: https://colm.cc/Conferences/2026/CallForPapers \nLocation: San Francisco\, California\, USA\nTopics: Natural Language Pr ocessing & LLMs\, Deep Representation Learning\, LLM Agents & Tool Use\, Information Retrieval & Search\nSize: L\nSubmission type: Paper-based\nCo nfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Third annual e dition\, Hilton Union Square. Ongoing conference with new-paper submissio ns closed\; October 9 workshops included. Size is an editorial estimate.\ nScope: Language-model foundations and methods: training and architecture \, data and scaling\, inference and generation\, evaluation\, reasoning\, retrieval augmentation\, and tool-using language agents. Alignment\, int erpretability\, and multimodal language models are meaningful extensions. A central language-model contribution distinguishes the conference from generic AI applications.\nAdditional topics: Learning Theory & Statistica l Foundations\, Explainability & Interpretability\, Robustness & Safety\, Fairness & Responsible AI\, Multimedia Learning & Retrieval\nScope sourc es (2026): https://colm.cc/Conferences/2026/CallForPapers\nScope last che cked: 2026-10-07 URL:https://colm.cc/Conferences/2026/CallForPapers END:VEVENT BEGIN:VEVENT UID:ieee-cdc-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260331 DTEND;VALUE=DATE:20260401 SUMMARY:[Control & Robotics][System Identification & Data-driven Dynamics] IEEE CDC 2026 - Regular paper submission (cutoff time unannounced) DESCRIPTION:Conference title: IEEE Conference on Decision and Control\nWebs ite: https://cdc2026.ieeecss.org/\nSource URL: https://cdc2026.ieeecss.or g/\nLocation: Honolulu\, Hawaii\, USA\nTopics: Control & Robotics\, Syste m Identification & Data-driven Dynamics\, Nonlinear Dynamics & Chaos\, Re inforcement Learning\nSize: XL\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-10-06\nNotes: Annual IEEE CSS confere nce. Main meeting excludes December 14 workshops. No current ICORE rank i s inferred from the removed CORE2018 listing. Deadline cutoff hours use e stimated end-of-day AoE. Size is an editorial category.\nOfficial deadlin e day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://cdc2026.ieeecss.org/ END:VEVENT BEGIN:VEVENT UID:acm-mm-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260401 DTEND;VALUE=DATE:20260402 SUMMARY:[Multimedia Learning & Retrieval][Computer Vision & Pattern Recogni tion] ACM MM 2026 - Main-track paper submission deadline (cutoff time una nnounced) DESCRIPTION:Conference title: ACM International Conference on Multimedia\nW ebsite: https://2026.acmmm.org/\nSource URL: https://2026.acmmm.org/site/ important-dates.html\nLocation: Rio de Janeiro\, Brazil\nTopics: Multimed ia Learning & Retrieval\, Computer Vision & Pattern Recognition\, Deep Re presentation Learning\, Signal Processing\nSize: XL\nSubmission type: Pap er-based / multimedia research\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official 2026 pages confirm Rio and deadline days. Th e retrieved important-dates page has no cutoff hour or timezone\, so the stored AoE timestamps are provisional. Main\, BNI\, and dataset tracks sh are March/April deadlines\; workshop papers have their own route. XL is a n editorial estimate.\nScope: Multimedia understanding\, learning\, gener ation\, and retrieval across image\, video\, audio\, language\, and other modalities. Characteristic work includes multimodal fusion\, generative and foundation models\, scalable indexing and search\, cross-modal alignm ent\, and human-centered multimedia experiences. The 2026 steering-commit tee scope also emphasizes explainability. Healthcare\, education\, and en tertainment are applications\, not blanket topical identities.\nAdditiona l topics: Machine Learning\, Natural Language Processing & LLMs\, Human-A I Interaction & Deployment\, Data Mining & Data Science\, Explainability & Interpretability\nScope sources (2026): https://2026.acmmm.org/site/top ics.html\, https://2026.acmmm.org/\nScope last checked: 2026-10-07\nOffic ial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://2026.acmmm.org/site/important-dates.html END:VEVENT BEGIN:VEVENT UID:ccn-2026-deadline-extended-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260403T115900Z DTEND:20260403T125900Z SUMMARY:[Computational Neuroscience][Deep Representation Learning] CCN 2026 - 2-page extended abstract submission deadline DESCRIPTION:Conference title: Conference on Cognitive Computational Neurosc ience\nWebsite: https://2026.ccneuro.org/\nSource URL: https://2026.ccneu ro.org/dates-and-deadlines/\nLocation: New York\, New York\, USA\nTopics: Computational Neuroscience\, Deep Representation Learning\, Neuroimaging & Brain Mapping\, Machine Learning\nSize: M\nSubmission type: Mixed: pro ceedings + extended abstracts\nConfidence: confirmed\nLast checked date: 2026-08-31\nNotes: Official CCN 2026 pages confirm New York University\, Aug 3-6\, and the two submission-track deadlines.\nScope: Cognitive compu tational neuroscience\, connecting experiments and models of brain comput ation with artificial intelligence. Characteristic work compares biologic al and artificial representations\, models perception\, cognition and act ion\, studies neural connectivity and dynamics\, and uses mechanistic int erpretability to understand neural-network models. The aim is understandi ng computation and behavior across brains and AI systems.\nAdditional top ics: Cognitive Science & Computational Cognition\, Explainability & Inter pretability\nScope sources (2027): https://2027.ccneuro.org/\nScope last checked: 2026-10-07 URL:https://2026.ccneuro.org/dates-and-deadlines/ END:VEVENT BEGIN:VEVENT UID:dynamics-days-europe-2026-deadline-minisymposium-proposal@scientific-co nference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260405 DTEND;VALUE=DATE:20260406 SUMMARY:[Nonlinear Dynamics & Chaos][Complex Systems & Network Science] Dyn amics Days Europe 2026 - Extended minisymposium proposal deadline (cutoff time unannounced) DESCRIPTION:Conference title: Dynamics Days Europe\nWebsite: https://dde-20 26.sci-meet.net/\nSource URL: https://dde-2026.sci-meet.net/important-dat es\nLocation: Lisbon\, Portugal\nTopics: Nonlinear Dynamics & Chaos\, Com plex Systems & Network Science\, Time Series & Sequential Data\, System I dentification & Data-driven Dynamics\nSize: L\nSubmission type: Abstract- based\nConfidence: confirmed\nLast checked date: 2026-10-08\nNotes: Histo rical annual meeting. Contributions are talk/poster abstracts collected i n a book of abstracts\, not standard full-paper proceedings. Minisymposiu m organization is a separate non-contribution milestone. Abstract submitt ers had to complete fee payment by May 29. Exact cutoff hours were unanno unced. Size is an editorial estimate.\nScope: Theory and applications of nonlinear dynamics: chaos\, bifurcations\, synchronization\, pattern form ation\, complex networks\, stochastic dynamics and time-series analysis. ML and neurodynamics are characteristic interdisciplinary extensions. Con tributed talks and posters use abstracts\, while minisymposium proposals are organizer activity.\nAdditional topics: Machine Learning\, Computatio nal Neuroscience\, Control & Robotics\, Graphs & Graph Learning\nScope so urces (2026): https://dde-2026.sci-meet.net/abstract-submission-2\nScope last checked: 2026-10-08\nOfficial deadline day\; exact cutoff hour/timez one is unannounced. Verify the organizer's submission portal. URL:https://dde-2026.sci-meet.net/important-dates END:VEVENT BEGIN:VEVENT UID:sdm-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260411T115900Z DTEND:20260411T125900Z SUMMARY:[Data Mining & Data Science][Time Series & Sequential Data] SDM 202 6 - Abstract submission deadline DESCRIPTION:Conference title: SIAM International Conference on Data Mining\ nWebsite: https://www.siam.org/conferences-events/siam-conferences/sdm26/ \nSource URL: https://www.siam.org/conferences-events/siam-conferences/sd m26/\nLocation: Salt Lake City\, Utah\, USA\nTopics: Data Mining & Data S cience\, Time Series & Sequential Data\, Explainability & Interpretabilit y\, Machine Learning\nSize: M\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official SIAM SDM26 page lists event details and submission deadlines. URL:https://www.siam.org/conferences-events/siam-conferences/sdm26/ END:VEVENT BEGIN:VEVENT UID:alife-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260413T115900Z DTEND:20260413T125900Z SUMMARY:[Artificial Life & Adaptive Systems][Complex Systems & Network Scie nce] ALIFE 2026 - Extended full-paper submission deadline DESCRIPTION:Conference title: International Conference on Artificial Life\n Website: https://2026.alife.org/\nSource URL: https://2026.alife.org/call -for-papers/\nLocation: Waterloo\, Ontario\, Canada\nTopics: Artificial L ife & Adaptive Systems\, Complex Systems & Network Science\, Evolutionary Computation & Optimization\, Cognitive Science & Computational Cognition \nSize: L\nSubmission type: Full papers + non-archival abstracts\nConfide nce: confirmed\nLast checked date: 2026-10-08\nNotes: Historical baseline . Reviewed full papers appear in MIT Press open-access proceedings\; pres entation summaries and late-breaking abstracts are non-archival. The Apri l date was an extension of the original March 30 cutoff. Size is an edito rial estimate.\nScope: Artificial life and life-like processes in computa tional\, robotic and biological systems. Central questions concern emerge nce\, evolution\, adaptation\, embodied intelligence and cognition. Relev ant ML work studies adaptive agents\, evolutionary learning and computati onal models of living systems\; it is not a general-purpose AI conference .\nAdditional topics: Autonomous Agents & Multiagent Systems\, Control & Robotics\, Machine Learning\nScope sources (2026): https://2026.alife.org /call-for-papers/\, https://alife.org/conference/alife-2027/\nScope last checked: 2026-10-08 URL:https://2026.alife.org/call-for-papers/ END:VEVENT BEGIN:VEVENT UID:dynamics-days-cac-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260415 DTEND;VALUE=DATE:20260416 SUMMARY:[Nonlinear Dynamics & Chaos][Complex Systems & Network Science] Dyn amics Days CAC 2026 - Contributed oral/poster abstract submission deadlin e (cutoff time unannounced) DESCRIPTION:Conference title: Dynamics Days Central Asia and the Caucasus\n Website: https://physics-congress.kz/dynamics_days\nSource URL: https://p hysics-congress.kz/dynamics_days\nLocation: Astana\, Kazakhstan\nTopics: Nonlinear Dynamics & Chaos\, Complex Systems & Network Science\nSize: M\n Submission type: Abstract-based\nConfidence: confirmed\nLast checked date : 2026-10-08\nNotes: Historical 10th edition. Although the form says pape r/article\, its date table explicitly identifies an abstract submission d eadline for oral/poster presentations. No archival full-paper proceedings verified. Recurrence is irregular (the organizer says almost annually)\; do not assume a fixed next-year edition. Exact cutoff hours are unannoun ced. Size is an editorial estimate.\nScope: Fundamental nonlinear science and complex-system physics\, including chaos\, collective dynamics\, sta tistical physics and biological systems. The Central Asian and Caucasian meeting promotes collaboration across nonlinear science and its physical applications. Its oral/poster submission form uses paper terminology\, bu t the official date table specifies abstract submissions.\nAdditional top ics: \nScope sources (2026): https://physics-congress.kz/dynamics_days\nS cope last checked: 2026-10-08\nOfficial deadline day\; exact cutoff hour/ timezone is unannounced. Verify the organizer's submission portal. URL:https://physics-congress.kz/dynamics_days END:VEVENT BEGIN:VEVENT UID:ieee-embc-2026-deadline-poster@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260416T035900Z DTEND:20260416T045900Z SUMMARY:[Healthcare & Clinical AI][Signal Processing] IEEE EMBC 2026 - 1-pa ge poster submission deadline (estimated) DESCRIPTION:Conference title: IEEE Engineering in Medicine and Biology Conf erence\nWebsite: https://embc.embs.org/2026/\nSource URL: https://embc.em bs.org/2026/key-dates/\nLocation: Toronto\, Canada\nTopics: Healthcare & Clinical AI\, Signal Processing\, EEG/MEG & Neural Signals\, BCI & Neurot echnology\nSize: XL\nSubmission type: Paper-based / broad applied venue\n Confidence: estimated\nLast checked date: 2026-09-14\nNotes: Official EMB C page confirms conference dates. Submission dates were already marked cl osed on the official key-dates page\, so the deadline is a proxy and shou ld be backfilled when archival CFP data is available. URL:https://embc.embs.org/2026/key-dates/ END:VEVENT BEGIN:VEVENT UID:midl-2026-deadline-short-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260416T115900Z DTEND:20260416T125900Z SUMMARY:[Biomedical Imaging][Deep Representation Learning] MIDL 2026 - Shor t paper submission deadline DESCRIPTION:Conference title: Medical Imaging with Deep Learning\nWebsite: https://2026.midl.io/\nSource URL: https://2026.midl.io/dates\nLocation: Taipei\, Taiwan\nTopics: Biomedical Imaging\, Deep Representation Learnin g\, Healthcare & Clinical AI\nSize: M\nSubmission type: Paper-based\nConf idence: confirmed\nLast checked date: 2026-08-20\nNotes: Official MIDL 20 26 pages list conference dates\, location\, and paper deadlines.\nScope: Deep learning for biomedical image analysis\, especially segmentation\, d etection\, reconstruction\, registration\, generative imaging\, and learn ing from limited labels. Uncertainty\, interpretability\, multi-site lear ning\, robustness\, and clinical validation extend that imaging core. Mul timodal foundation models are relevant when grounded in medical imaging.\ nAdditional topics: Computer Vision & Pattern Recognition\, Probabilistic \, Causal & Uncertainty ML\, Explainability & Interpretability\, Robustne ss & Safety\, Federated & Distributed Learning\nScope sources (2026): htt ps://2026.midl.io/call-for-papers\nScope last checked: 2026-10-07 URL:https://2026.midl.io/dates END:VEVENT BEGIN:VEVENT UID:mlhc-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260418T115900Z DTEND:20260418T125900Z SUMMARY:[Healthcare & Clinical AI][Machine Learning] MLHC 2026 - Full submi ssion deadline DESCRIPTION:Conference title: Machine Learning for Healthcare Conference\nW ebsite: https://mlhc.org/\nSource URL: https://mlhc.org/\nLocation: Balti more\, Maryland\, USA\nTopics: Healthcare & Clinical AI\, Machine Learnin g\, Time Series & Sequential Data\, Explainability & Interpretability\nSi ze: M\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official MLHC page lists conference dates\, loca tion\, and full submission deadline. URL:https://mlhc.org/ END:VEVENT BEGIN:VEVENT UID:sdm-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260418T115900Z DTEND:20260418T125900Z SUMMARY:[Data Mining & Data Science][Time Series & Sequential Data] SDM 202 6 - Full paper submission deadline DESCRIPTION:Conference title: SIAM International Conference on Data Mining\ nWebsite: https://www.siam.org/conferences-events/siam-conferences/sdm26/ \nSource URL: https://www.siam.org/conferences-events/siam-conferences/sd m26/\nLocation: Salt Lake City\, Utah\, USA\nTopics: Data Mining & Data S cience\, Time Series & Sequential Data\, Explainability & Interpretabilit y\, Machine Learning\nSize: M\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official SIAM SDM26 page lists event details and submission deadlines. URL:https://www.siam.org/conferences-events/siam-conferences/sdm26/ END:VEVENT BEGIN:VEVENT UID:ida-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260422 DTEND;VALUE=DATE:20260425 SUMMARY:[Data Mining & Data Science][Machine Learning] IDA 2026 - Conferenc e DESCRIPTION:Conference title: International Symposium on Intelligent Data A nalysis\nWebsite: https://ida2026.org/\nSource URL: https://ida2026.org/\ nLocation: Leiden\, Netherlands\nTopics: Data Mining & Data Science\, Mac hine Learning\, Probabilistic\, Causal & Uncertainty ML\, Time Series & S equential Data\nSize: M\nSubmission type: Paper-based / interdisciplinary \nConfidence: confirmed\nLast checked date: 2026-10-05\nNotes: Official I DA 2026 regular track confirms Leiden\, Apr 22-24\, 2026\, and AoE submis sion deadlines. URL:https://ida2026.org/ LOCATION:Leiden\, Netherlands END:VEVENT BEGIN:VEVENT UID:dynamics-days-cac-2026-deadline-notification@scientific-conference-cale ndar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260425 DTEND;VALUE=DATE:20260426 SUMMARY:[Nonlinear Dynamics & Chaos][Complex Systems & Network Science] Dyn amics Days CAC 2026 - Abstract acceptance notification (cutoff time unann ounced) DESCRIPTION:Conference title: Dynamics Days Central Asia and the Caucasus\n Website: https://physics-congress.kz/dynamics_days\nSource URL: https://p hysics-congress.kz/dynamics_days\nLocation: Astana\, Kazakhstan\nTopics: Nonlinear Dynamics & Chaos\, Complex Systems & Network Science\nSize: M\n Submission type: Abstract-based\nConfidence: confirmed\nLast checked date : 2026-10-08\nNotes: Historical 10th edition. Although the form says pape r/article\, its date table explicitly identifies an abstract submission d eadline for oral/poster presentations. No archival full-paper proceedings verified. Recurrence is irregular (the organizer says almost annually)\; do not assume a fixed next-year edition. Exact cutoff hours are unannoun ced. Size is an editorial estimate.\nScope: Fundamental nonlinear science and complex-system physics\, including chaos\, collective dynamics\, sta tistical physics and biological systems. The Central Asian and Caucasian meeting promotes collaboration across nonlinear science and its physical applications. Its oral/poster submission form uses paper terminology\, bu t the official date table specifies abstract submissions.\nAdditional top ics: \nScope sources (2026): https://physics-congress.kz/dynamics_days\nS cope last checked: 2026-10-08\nOfficial deadline day\; exact cutoff hour/ timezone is unannounced. Verify the organizer's submission portal. URL:https://physics-congress.kz/dynamics_days END:VEVENT BEGIN:VEVENT UID:dynamics-days-europe-2026-deadline-abstract@scientific-conference-calen dar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260427 DTEND;VALUE=DATE:20260428 SUMMARY:[Nonlinear Dynamics & Chaos][Complex Systems & Network Science] Dyn amics Days Europe 2026 - Contributed talk/poster abstract submission dead line (cutoff time unannounced) DESCRIPTION:Conference title: Dynamics Days Europe\nWebsite: https://dde-20 26.sci-meet.net/\nSource URL: https://dde-2026.sci-meet.net/important-dat es\nLocation: Lisbon\, Portugal\nTopics: Nonlinear Dynamics & Chaos\, Com plex Systems & Network Science\, Time Series & Sequential Data\, System I dentification & Data-driven Dynamics\nSize: L\nSubmission type: Abstract- based\nConfidence: confirmed\nLast checked date: 2026-10-08\nNotes: Histo rical annual meeting. Contributions are talk/poster abstracts collected i n a book of abstracts\, not standard full-paper proceedings. Minisymposiu m organization is a separate non-contribution milestone. Abstract submitt ers had to complete fee payment by May 29. Exact cutoff hours were unanno unced. Size is an editorial estimate.\nScope: Theory and applications of nonlinear dynamics: chaos\, bifurcations\, synchronization\, pattern form ation\, complex networks\, stochastic dynamics and time-series analysis. ML and neurodynamics are characteristic interdisciplinary extensions. Con tributed talks and posters use abstracts\, while minisymposium proposals are organizer activity.\nAdditional topics: Machine Learning\, Computatio nal Neuroscience\, Control & Robotics\, Graphs & Graph Learning\nScope so urces (2026): https://dde-2026.sci-meet.net/abstract-submission-2\nScope last checked: 2026-10-08\nOfficial deadline day\; exact cutoff hour/timez one is unannounced. Verify the organizer's submission portal. URL:https://dde-2026.sci-meet.net/important-dates END:VEVENT BEGIN:VEVENT UID:biomag-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260501T115900Z DTEND:20260501T125900Z SUMMARY:[EEG/MEG & Neural Signals][Neuroimaging & Brain Mapping] BIOMAG 202 6 - Abstract submission deadline (estimated) DESCRIPTION:Conference title: International Conference on Biomagnetism\nWeb site: https://mm.scimeeting.cn/en/web/index/31426\nSource URL: https://mm .scimeeting.cn/en/web/index/31426\nLocation: Beijing\, China\nTopics: EEG /MEG & Neural Signals\, Neuroimaging & Brain Mapping\, Computational Neur oscience\, Signal Processing\nSize: M\nSubmission type: Abstract-based / specialist venue\nConfidence: estimated\nLast checked date: 2026-09-14\nN otes: Official BIOMAG 2026 page confirms Beijing and Aug 23-25\, 2026. Ab stract deadline remains an estimate until the submission page is rechecke d. URL:https://mm.scimeeting.cn/en/web/index/31426 END:VEVENT BEGIN:VEVENT UID:nodycon-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260501 DTEND;VALUE=DATE:20260502 SUMMARY:[Nonlinear Dynamics & Chaos][System Identification & Data-driven Dy namics] NODYCON 2026 - Presentation abstract submission deadline (cutoff time unannounced) DESCRIPTION:Conference title: International Nonlinear Dynamics Conference\n Website: https://nodycon2026.app.earendelplatform.com/\nSource URL: https ://www.sisco-scienzadellecostruzioni.org/index.php/eventi/prossimi-eventi /conferenza/nodycon-2026\nLocation: Rome\, Italy\nTopics: Nonlinear Dynam ics & Chaos\, System Identification & Data-driven Dynamics\, Control & Ro botics\, Complex Systems & Network Science\nSize: L\nSubmission type: Abs tract-based + selected journal papers\nConfidence: confirmed\nLast checke d date: 2026-10-08\nNotes: Historical 2026 meeting. Selected presented pa pers may be considered for Nonlinear Dynamics after additional journal re view\; that manuscript step is not a fresh conference submission. Prior e ditions have Springer proceedings\, but no blanket 2026 proceedings promi se is asserted. The 2025-to-2026 change breaks the earlier biennial caden ce\; the next edition is unannounced. Cutoff hours are unannounced. Size is an editorial estimate.\nScope: Nonlinear dynamics in engineering and p hysical systems: bifurcations\, chaos\, vibrations\, synchronization\, no nlinear control\, system identification and data-driven dynamical modelin g. Machine learning is relevant through discovering\, forecasting or cont rolling dynamics. Publication is edition-specific: past Springer volumes do not imply that every later meeting has standard proceedings.\nAddition al topics: Time Series & Sequential Data\, Machine Learning\nScope source s (2026): https://www.sisco-scienzadellecostruzioni.org/index.php/eventi/ prossimi-eventi/conferenza/nodycon-2026\nScope last checked: 2026-10-08\n Official deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://www.sisco-scienzadellecostruzioni.org/index.php/eventi/prossimi -eventi/conferenza/nodycon-2026 END:VEVENT BEGIN:VEVENT UID:iswc-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260503T115900Z DTEND:20260503T125900Z SUMMARY:[Knowledge Representation & Reasoning][Graphs & Graph Learning] ISW C 2026 - Research/resource/in-use abstract deadline DESCRIPTION:Conference title: International Semantic Web Conference\nWebsit e: https://iswc2026.semanticweb.org/\nSource URL: https://iswc2026.semant icweb.org/importantdates\nLocation: Bari\, Italy\nTopics: Knowledge Repre sentation & Reasoning\, Graphs & Graph Learning\, Data Mining & Data Scie nce\, Information Retrieval & Search\nSize: M\nSubmission type: Paper-bas ed\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Semantic Web ISWC\, not IEEE Symposium on Wearable Computers. Official JavaScript -rendered date table specifies 23:59 AoE\; main sessions October 27-29 af ter workshops/tutorials. Size is an editorial estimate.\nScope: Semantic Web and linked-data research: ontologies\, knowledge graphs\, representat ion and reasoning\, semantic integration\, querying\, and knowledge-suppo rted AI. Graph learning is relevant through semantic data and knowledge s tructures\; this is not the IEEE wearable-computing symposium with the sa me acronym.\nAdditional topics: Machine Learning\, Explainability & Inter pretability\nScope sources (2026): https://iswc2026.semanticweb.org/calls /research\nScope last checked: 2026-10-07 URL:https://iswc2026.semanticweb.org/importantdates END:VEVENT BEGIN:VEVENT UID:smc-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260503 DTEND;VALUE=DATE:20260504 SUMMARY:[Control & Robotics][Complex Systems & Network Science] SMC 2026 - Extended regular/special-session paper deadline (cutoff time unannounced) DESCRIPTION:Conference title: IEEE International Conference on Systems\, Ma n\, and Cybernetics\nWebsite: https://www.ieeesmc2026.org/\nSource URL: h ttps://www.ieeesmc2026.org/Important-Dates\nLocation: Bellevue\, Washingt on\, USA\nTopics: Control & Robotics\, Complex Systems & Network Science\ , Machine Learning\, Human-AI Interaction & Deployment\nSize: L\nSubmissi on type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-10-0 7\nNotes: Organizer date table confirms October 4-7 (society calendar has older October 4-6). Duplicate camera-ready blocks disagree August 2/9\, so neither is asserted. Exact paper cutoff hours unannounced. Size is an editorial estimate.\nScope: Systems science\, cybernetics\, and human-mac hine systems. Characteristic ML-facing work includes intelligent and lear ning-based control\, autonomous systems\, adaptive decision-making\, and human-AI interaction\; brain-machine interfaces and cognitive systems are meaningful extensions. Its interdisciplinary remit is curated without ta gging every industrial application as a core specialty.\nAdditional topic s: Reinforcement Learning\, System Identification & Data-driven Dynamics\ , BCI & Neurotechnology\, Cognitive Science & Computational Cognition\nSc ope sources (2026): https://www.ieeesmc2026.org/call-for-papers\nScope la st checked: 2026-10-07\nOfficial deadline day\; exact cutoff hour/timezon e is unannounced. Verify the organizer's submission portal. URL:https://www.ieeesmc2026.org/Important-Dates END:VEVENT BEGIN:VEVENT UID:neurips-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260505T115900Z DTEND:20260505T125900Z SUMMARY:[Machine Learning][Deep Representation Learning] NeurIPS 2026 - Abs tract submission deadline DESCRIPTION:Conference title: Conference on Neural Information Processing S ystems\nWebsite: https://neurips.cc/Conferences/2026\nSource URL: https:/ /neurips.cc/Conferences/2026/Dates\nLocation: Sydney\, Australia\nTopics: Machine Learning\, Deep Representation Learning\, Time Series & Sequenti al Data\, Explainability & Interpretability\nSize: XXL\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official NeurIPS 2026 dates page lists meeting dates and main paper subm ission deadlines.\nScope: Broad research in machine learning\, especially deep and generative models\, statistical foundations\, optimization\, pr obabilistic inference\, and learning for decision-making. Language\, visi on\, and scalable ML systems are important research communities. Interdis ciplinary applications should contribute insight of wider interest to the machine-learning community.\nAdditional topics: Learning Theory & Statis tical Foundations\, Probabilistic\, Causal & Uncertainty ML\, Reinforceme nt Learning\, Natural Language Processing & LLMs\, Computer Vision & Patt ern Recognition\, ML Systems & Infrastructure\nScope sources (2026): http s://neurips.cc/Conferences/2026/CallForPapers\nScope last checked: 2026-1 0-07 URL:https://neurips.cc/Conferences/2026/Dates END:VEVENT BEGIN:VEVENT UID:neurips-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260507T115900Z DTEND:20260507T125900Z SUMMARY:[Machine Learning][Deep Representation Learning] NeurIPS 2026 - Ful l paper submission deadline DESCRIPTION:Conference title: Conference on Neural Information Processing S ystems\nWebsite: https://neurips.cc/Conferences/2026\nSource URL: https:/ /neurips.cc/Conferences/2026/Dates\nLocation: Sydney\, Australia\nTopics: Machine Learning\, Deep Representation Learning\, Time Series & Sequenti al Data\, Explainability & Interpretability\nSize: XXL\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official NeurIPS 2026 dates page lists meeting dates and main paper subm ission deadlines.\nScope: Broad research in machine learning\, especially deep and generative models\, statistical foundations\, optimization\, pr obabilistic inference\, and learning for decision-making. Language\, visi on\, and scalable ML systems are important research communities. Interdis ciplinary applications should contribute insight of wider interest to the machine-learning community.\nAdditional topics: Learning Theory & Statis tical Foundations\, Probabilistic\, Causal & Uncertainty ML\, Reinforceme nt Learning\, Natural Language Processing & LLMs\, Computer Vision & Patt ern Recognition\, ML Systems & Infrastructure\nScope sources (2026): http s://neurips.cc/Conferences/2026/CallForPapers\nScope last checked: 2026-1 0-07 URL:https://neurips.cc/Conferences/2026/Dates END:VEVENT BEGIN:VEVENT UID:iswc-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260508T115900Z DTEND:20260508T125900Z SUMMARY:[Knowledge Representation & Reasoning][Graphs & Graph Learning] ISW C 2026 - Research/resource/in-use paper deadline DESCRIPTION:Conference title: International Semantic Web Conference\nWebsit e: https://iswc2026.semanticweb.org/\nSource URL: https://iswc2026.semant icweb.org/importantdates\nLocation: Bari\, Italy\nTopics: Knowledge Repre sentation & Reasoning\, Graphs & Graph Learning\, Data Mining & Data Scie nce\, Information Retrieval & Search\nSize: M\nSubmission type: Paper-bas ed\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Semantic Web ISWC\, not IEEE Symposium on Wearable Computers. Official JavaScript -rendered date table specifies 23:59 AoE\; main sessions October 27-29 af ter workshops/tutorials. Size is an editorial estimate.\nScope: Semantic Web and linked-data research: ontologies\, knowledge graphs\, representat ion and reasoning\, semantic integration\, querying\, and knowledge-suppo rted AI. Graph learning is relevant through semantic data and knowledge s tructures\; this is not the IEEE wearable-computing symposium with the sa me acronym.\nAdditional topics: Machine Learning\, Explainability & Inter pretability\nScope sources (2026): https://iswc2026.semanticweb.org/calls /research\nScope last checked: 2026-10-07 URL:https://iswc2026.semanticweb.org/importantdates END:VEVENT BEGIN:VEVENT UID:lrec-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260511 DTEND;VALUE=DATE:20260517 SUMMARY:[Natural Language Processing & LLMs][Data Mining & Data Science] LR EC 2026 - Conference DESCRIPTION:Conference title: Language Resources and Evaluation Conference\ nWebsite: https://lrec2026.info/\nSource URL: https://lrec2026.info/\nLoc ation: Palma de Mallorca\, Spain\nTopics: Natural Language Processing & L LMs\, Data Mining & Data Science\, Signal Processing\nSize: XL\nSubmissio n type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-10-07 \nNotes: Archived full conference window includes workshops\; main sessio ns May 13-15. Resources\, datasets\, annotation and evaluation characteri ze the venue. Size is an editorial estimate.\nScope: Language resources\, annotation\, corpora and datasets\, speech and multimodal resources\, be nchmarking\, and evaluation for human-language technologies. Contribution s often create or analyze reusable resources and methods for linguistic c overage and reliable assessment. The breadth of language applications is summarized without treating every domain as a defining topic.\nAdditional topics: Multimedia Learning & Retrieval\, Fairness & Responsible AI\nSco pe sources (2026): https://lrec2026.info/third-call-for-papers/\nScope la st checked: 2026-10-07 URL:https://lrec2026.info/ LOCATION:Palma de Mallorca\, Spain END:VEVENT BEGIN:VEVENT UID:aies-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260515T115900Z DTEND:20260515T125900Z SUMMARY:[Ethics & Governance][Fairness & Responsible AI] AIES 2026 - Abstra ct registration deadline DESCRIPTION:Conference title: AAAI/ACM Conference on AI\, Ethics\, and Soci ety\nWebsite: https://www.aies-conference.com/2026/\nSource URL: https:// www.aies-conference.com/2026/call-for-papers/\nLocation: Malmo\, Sweden\n Topics: Ethics & Governance\, Fairness & Responsible AI\, Explainability & Interpretability\, Robustness & Safety\nSize: M\nSubmission type: Paper -based / interdisciplinary\nConfidence: confirmed\nLast checked date: 202 6-08-20\nNotes: Official AIES 2026 pages list Malmo\, Oct 12-14\, 2026 co nference dates and abstract/paper submission deadlines.\nScope: Ethics an d societal consequences of AI\, connecting computer science\, law and pol icy\, social science\, and philosophy. Defining concerns include governan ce and power\, accountability after deployment\, value alignment\, fairne ss\, human-AI interaction\, and institutional practice. Technical work is relevant through a serious ethical or societal contribution.\nAdditional topics: Human-AI Interaction & Deployment\, Privacy-preserving ML\nScope sources (2026): https://www.aies-conference.com/2026/call-for-papers/\nS cope last checked: 2026-10-07 URL:https://www.aies-conference.com/2026/call-for-papers/ END:VEVENT BEGIN:VEVENT UID:ieee-icmla-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260516T065900Z DTEND:20260516T075900Z SUMMARY:[Machine Learning][Deep Representation Learning] IEEE ICMLA 2026 - Main conference paper submission deadline DESCRIPTION:Conference title: IEEE International Conference on Machine Lear ning and Applications\nWebsite: https://www.icmla-conference.org/icmla26/ \nSource URL: https://www.icmla-conference.org/icmla26/callforpapers.html \nLocation: Rochester\, Michigan\, USA\nTopics: Machine Learning\, Deep R epresentation Learning\, Data Mining & Data Science\, Time Series & Seque ntial Data\nSize: M\nSubmission type: Paper-based / special sessions\nCon fidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official ICMLA 2026 CFP lists Rochester\, Oct 5-7\, and the main-conference paper deadli ne. URL:https://www.icmla-conference.org/icmla26/callforpapers.html END:VEVENT BEGIN:VEVENT UID:sab-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260516T065900Z DTEND:20260516T075900Z SUMMARY:[Artificial Life & Adaptive Systems][Computational Neuroscience] SA B 2026 - Poster abstract submission deadline (independent route) DESCRIPTION:Conference title: International Conference on Simulation of Ada ptive Behavior\nWebsite: https://sab-conference.org/\nSource URL: https:/ /sab-conference.org/call-for-contributions/\nLocation: Berlin\, Germany\n Topics: Artificial Life & Adaptive Systems\, Computational Neuroscience\, Cognitive Science & Computational Cognition\, Control & Robotics\nSize: M\nSubmission type: Reviewed papers + non-archival contributions\nConfide nce: confirmed\nLast checked date: 2026-10-08\nNotes: Biennial ISAB confe rence. Reviewed track-1 papers appear in Springer LNAI\; the other tracks include non-archival papers\, poster abstracts and position papers. The stated submission cutoff is Pacific Time\, not AoE\; May 15 uses daylight time. Size is an editorial estimate.\nScope: Understanding adaptive beha vior through biological and artificial agents\, including embodied cognit ion\, neural and computational models\, robotics\, learning\, evolution a nd collective behavior. The biennial ISAB meeting combines archival proce edings papers with deliberately non-archival contributions and poster abs tracts.\nAdditional topics: Machine Learning\, Reinforcement Learning\, A utonomous Agents & Multiagent Systems\nScope sources (2026): https://sab- conference.org/call-for-contributions/\nScope last checked: 2026-10-08 URL:https://sab-conference.org/call-for-contributions/ END:VEVENT BEGIN:VEVENT UID:sab-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260516T065900Z DTEND:20260516T075900Z SUMMARY:[Artificial Life & Adaptive Systems][Computational Neuroscience] SA B 2026 - Peer-reviewed proceedings paper submission deadline DESCRIPTION:Conference title: International Conference on Simulation of Ada ptive Behavior\nWebsite: https://sab-conference.org/\nSource URL: https:/ /sab-conference.org/call-for-contributions/\nLocation: Berlin\, Germany\n Topics: Artificial Life & Adaptive Systems\, Computational Neuroscience\, Cognitive Science & Computational Cognition\, Control & Robotics\nSize: M\nSubmission type: Reviewed papers + non-archival contributions\nConfide nce: confirmed\nLast checked date: 2026-10-08\nNotes: Biennial ISAB confe rence. Reviewed track-1 papers appear in Springer LNAI\; the other tracks include non-archival papers\, poster abstracts and position papers. The stated submission cutoff is Pacific Time\, not AoE\; May 15 uses daylight time. Size is an editorial estimate.\nScope: Understanding adaptive beha vior through biological and artificial agents\, including embodied cognit ion\, neural and computational models\, robotics\, learning\, evolution a nd collective behavior. The biennial ISAB meeting combines archival proce edings papers with deliberately non-archival contributions and poster abs tracts.\nAdditional topics: Machine Learning\, Reinforcement Learning\, A utonomous Agents & Multiagent Systems\nScope sources (2026): https://sab- conference.org/call-for-contributions/\nScope last checked: 2026-10-08 URL:https://sab-conference.org/call-for-contributions/ END:VEVENT BEGIN:VEVENT UID:ccs-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260515 DTEND;VALUE=DATE:20260516 SUMMARY:[Complex Systems & Network Science][Nonlinear Dynamics & Chaos] CCS 2026 - Presentation abstracts (cutoff time unannounced) DESCRIPTION:Conference title: Conference on Complex Systems\nWebsite: https ://ccs26.cssociety.org/\nSource URL: https://ccs26.cssociety.org/\nLocati on: Binghamton\, New York\, USA\nTopics: Complex Systems & Network Scienc e\, Nonlinear Dynamics & Chaos\, Data Mining & Data Science\nSize: L\nSub mission type: Abstract-based\nConfidence: confirmed\nLast checked date: 2 026-10-06\nNotes: Annual Complex Systems Society flagship\, distinct from ACM CCS (computer security)\; no ACM CCS rank applies. Main conference i s October 12-16\; October 9-10 warm-up excluded. Presentation abstracts\, not archival full papers. Deadline hour uses estimated end-of-day AoE. S ize is an editorial category.\nOfficial deadline day\; exact cutoff hour/ timezone is unannounced. Verify the organizer's submission portal. URL:https://ccs26.cssociety.org/ END:VEVENT BEGIN:VEVENT UID:cikm-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260517T115900Z DTEND:20260517T125900Z SUMMARY:[Data Mining & Data Science][Machine Learning] CIKM 2026 - Abstract submission deadline DESCRIPTION:Conference title: ACM International Conference on Information a nd Knowledge Management\nWebsite: https://cikm2026.diag.uniroma1.it/\nSou rce URL: https://cikm2026.diag.uniroma1.it/\nLocation: Rome\, Italy\nTopi cs: Data Mining & Data Science\, Machine Learning\, Natural Language Proc essing & LLMs\, Human-AI Interaction & Deployment\nSize: XL\nSubmission t ype: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-31\nN otes: Official CIKM 2026 materials confirm Rome\, Nov 7-11\, and the May 16 abstract and May 23 full-paper deadlines.\nScope: Information retrieva l\, knowledge management\, data mining and database systems\, with a stro ng focus on effective information access and knowledge at scale. The 2026 organizer description emphasizes AI for information access\, knowledge r epresentation\, personalization and evaluation. Agentic and graph methods are relevant through these information and knowledge problems.\nAddition al topics: Information Retrieval & Search\, Recommender Systems\, Knowled ge Representation & Reasoning\, Graphs & Graph Learning\, LLM Agents & To ol Use\nScope sources (2026): https://cikm2026.diag.uniroma1.it/\nScope l ast checked: 2026-10-07 URL:https://cikm2026.diag.uniroma1.it/ END:VEVENT BEGIN:VEVENT UID:smc-2026-deadline-short-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260517 DTEND;VALUE=DATE:20260518 SUMMARY:[Control & Robotics][Complex Systems & Network Science] SMC 2026 - Extended work-in-progress/industry paper deadline (cutoff time unannounce d) DESCRIPTION:Conference title: IEEE International Conference on Systems\, Ma n\, and Cybernetics\nWebsite: https://www.ieeesmc2026.org/\nSource URL: h ttps://www.ieeesmc2026.org/Important-Dates\nLocation: Bellevue\, Washingt on\, USA\nTopics: Control & Robotics\, Complex Systems & Network Science\ , Machine Learning\, Human-AI Interaction & Deployment\nSize: L\nSubmissi on type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-10-0 7\nNotes: Organizer date table confirms October 4-7 (society calendar has older October 4-6). Duplicate camera-ready blocks disagree August 2/9\, so neither is asserted. Exact paper cutoff hours unannounced. Size is an editorial estimate.\nScope: Systems science\, cybernetics\, and human-mac hine systems. Characteristic ML-facing work includes intelligent and lear ning-based control\, autonomous systems\, adaptive decision-making\, and human-AI interaction\; brain-machine interfaces and cognitive systems are meaningful extensions. Its interdisciplinary remit is curated without ta gging every industrial application as a core specialty.\nAdditional topic s: Reinforcement Learning\, System Identification & Data-driven Dynamics\ , BCI & Neurotechnology\, Cognitive Science & Computational Cognition\nSc ope sources (2026): https://www.ieeesmc2026.org/call-for-papers\nScope la st checked: 2026-10-07\nOfficial deadline day\; exact cutoff hour/timezon e is unannounced. Verify the organizer's submission portal. URL:https://www.ieeesmc2026.org/Important-Dates END:VEVENT BEGIN:VEVENT UID:nolta-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260520 DTEND;VALUE=DATE:20260521 SUMMARY:[Nonlinear Dynamics & Chaos][Complex Systems & Network Science] NOL TA 2026 - Regular and special-session papers (cutoff time unannounced) DESCRIPTION:Conference title: International Symposium on Nonlinear Theory a nd Its Applications\nWebsite: https://nolta2026.org/\nSource URL: https:/ /nolta2026.org/\nLocation: Grenoble\, France\nTopics: Nonlinear Dynamics & Chaos\, Complex Systems & Network Science\, Deep Representation Learnin g\, Control & Robotics\nSize: M\nSubmission type: Paper-based\nConfidence : confirmed\nLast checked date: 2026-10-06\nNotes: Annual IEICE NOLTA sym posium\; official final extensions supersede older April/July dates. Proc eedings papers\, with neural networks and deep AI explicitly in scope. De adline hours use estimated end-of-day AoE. Size is an editorial category. \nScope: Nonlinear theory and its applications\, centered on chaos\, bifu rcations\, oscillations\, synchronization\, nonlinear circuits\, and comp lex networks. Neural computation\, evolutionary algorithms\, control\, an d signal processing connect to this nonlinear-systems focus. Individual a pplication examples are not taken as additional specialist identities.\nA dditional topics: Signal Processing\, Evolutionary Computation & Optimiza tion\nScope sources (2026): https://nolta2026.org/\nScope last checked: 2 026-10-07\nOfficial deadline day\; exact cutoff hour/timezone is unannoun ced. Verify the organizer's submission portal. URL:https://nolta2026.org/ END:VEVENT BEGIN:VEVENT UID:aies-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260522T115900Z DTEND:20260522T125900Z SUMMARY:[Ethics & Governance][Fairness & Responsible AI] AIES 2026 - Paper submission deadline DESCRIPTION:Conference title: AAAI/ACM Conference on AI\, Ethics\, and Soci ety\nWebsite: https://www.aies-conference.com/2026/\nSource URL: https:// www.aies-conference.com/2026/call-for-papers/\nLocation: Malmo\, Sweden\n Topics: Ethics & Governance\, Fairness & Responsible AI\, Explainability & Interpretability\, Robustness & Safety\nSize: M\nSubmission type: Paper -based / interdisciplinary\nConfidence: confirmed\nLast checked date: 202 6-08-20\nNotes: Official AIES 2026 pages list Malmo\, Oct 12-14\, 2026 co nference dates and abstract/paper submission deadlines.\nScope: Ethics an d societal consequences of AI\, connecting computer science\, law and pol icy\, social science\, and philosophy. Defining concerns include governan ce and power\, accountability after deployment\, value alignment\, fairne ss\, human-AI interaction\, and institutional practice. Technical work is relevant through a serious ethical or societal contribution.\nAdditional topics: Human-AI Interaction & Deployment\, Privacy-preserving ML\nScope sources (2026): https://www.aies-conference.com/2026/call-for-papers/\nS cope last checked: 2026-10-07 URL:https://www.aies-conference.com/2026/call-for-papers/ END:VEVENT BEGIN:VEVENT UID:bmvc-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260523T115900Z DTEND:20260523T125900Z SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] BMVC 2026 - Abstract registration deadline DESCRIPTION:Conference title: British Machine Vision Conference\nWebsite: h ttps://bmvc2026.bmva.org/\nSource URL: https://bmvc2026.bmva.org/dates/\n Location: Lancaster\, United Kingdom\nTopics: Computer Vision & Pattern R ecognition\, Machine Learning\, Deep Representation Learning\nSize: L\nSu bmission type: Paper-based / BMVA proceedings\nConfidence: confirmed\nLas t checked date: 2026-10-07\nNotes: Official BMVA pages confirm Lancaster and 23:59 AoE deadlines. The October poster/video upload is for accepted papers\, not a fresh poster submission. L is an editorial size estimate.\ nScope: Computer vision\, image processing\, and visual pattern recogniti on\, including visual learning\, recognition and segmentation\, reconstru ction\, motion and video analysis\, and evaluation of vision methods. The single-track BMVA conference combines methodological and applied vision research. It is an established broad vision venue\, not a specialist biom edical-imaging meeting.\nAdditional topics: Signal Processing\nScope sour ces (2026): https://bmvc2026.bmva.org/calls/call-for-papers/\nScope last checked: 2026-10-07 URL:https://bmvc2026.bmva.org/dates/ END:VEVENT BEGIN:VEVENT UID:cikm-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260524T115900Z DTEND:20260524T125900Z SUMMARY:[Data Mining & Data Science][Machine Learning] CIKM 2026 - Full pap er submission deadline DESCRIPTION:Conference title: ACM International Conference on Information a nd Knowledge Management\nWebsite: https://cikm2026.diag.uniroma1.it/\nSou rce URL: https://cikm2026.diag.uniroma1.it/\nLocation: Rome\, Italy\nTopi cs: Data Mining & Data Science\, Machine Learning\, Natural Language Proc essing & LLMs\, Human-AI Interaction & Deployment\nSize: XL\nSubmission t ype: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-31\nN otes: Official CIKM 2026 materials confirm Rome\, Nov 7-11\, and the May 16 abstract and May 23 full-paper deadlines.\nScope: Information retrieva l\, knowledge management\, data mining and database systems\, with a stro ng focus on effective information access and knowledge at scale. The 2026 organizer description emphasizes AI for information access\, knowledge r epresentation\, personalization and evaluation. Agentic and graph methods are relevant through these information and knowledge problems.\nAddition al topics: Information Retrieval & Search\, Recommender Systems\, Knowled ge Representation & Reasoning\, Graphs & Graph Learning\, LLM Agents & To ol Use\nScope sources (2026): https://cikm2026.diag.uniroma1.it/\nScope l ast checked: 2026-10-07 URL:https://cikm2026.diag.uniroma1.it/ END:VEVENT BEGIN:VEVENT UID:dynamics-days-cac-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260525 DTEND;VALUE=DATE:20260529 SUMMARY:[Nonlinear Dynamics & Chaos][Complex Systems & Network Science] Dyn amics Days CAC 2026 - Conference DESCRIPTION:Conference title: Dynamics Days Central Asia and the Caucasus\n Website: https://physics-congress.kz/dynamics_days\nSource URL: https://p hysics-congress.kz/dynamics_days\nLocation: Astana\, Kazakhstan\nTopics: Nonlinear Dynamics & Chaos\, Complex Systems & Network Science\nSize: M\n Submission type: Abstract-based\nConfidence: confirmed\nLast checked date : 2026-10-08\nNotes: Historical 10th edition. Although the form says pape r/article\, its date table explicitly identifies an abstract submission d eadline for oral/poster presentations. No archival full-paper proceedings verified. Recurrence is irregular (the organizer says almost annually)\; do not assume a fixed next-year edition. Exact cutoff hours are unannoun ced. Size is an editorial estimate.\nScope: Fundamental nonlinear science and complex-system physics\, including chaos\, collective dynamics\, sta tistical physics and biological systems. The Central Asian and Caucasian meeting promotes collaboration across nonlinear science and its physical applications. Its oral/poster submission form uses paper terminology\, bu t the official date table specifies abstract submissions.\nAdditional top ics: \nScope sources (2026): https://physics-congress.kz/dynamics_days\nS cope last checked: 2026-10-08 URL:https://physics-congress.kz/dynamics_days LOCATION:Astana\, Kazakhstan END:VEVENT BEGIN:VEVENT UID:ssspr-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260525T215900Z DTEND:20260525T225900Z SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] S+SSPR 20 26 - Paper submission deadline DESCRIPTION:Conference title: Joint IAPR International Workshops on Statist ical Techniques in Pattern Recognition and Structural and Syntactic Patte rn Recognition\nWebsite: https://ssspr2026.inf.unibe.ch/\nSource URL: htt ps://ssspr2026.inf.unibe.ch/\nLocation: Bern\, Switzerland\nTopics: Compu ter Vision & Pattern Recognition\, Machine Learning\, Learning Theory & S tatistical Foundations\nSize: M\nSubmission type: Paper-based / workshop- style conference\nConfidence: confirmed\nLast checked date: 2026-09-14\nN otes: Official S+SSPR 2026 pages confirm Bern\, Aug 24-26\, the final May 25 paper deadline\, and the Jul 15 camera-ready deadline. URL:https://ssspr2026.inf.unibe.ch/ END:VEVENT BEGIN:VEVENT UID:corl-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260526T115900Z DTEND:20260526T125900Z SUMMARY:[Machine Learning][Control & Robotics] CoRL 2026 - Mandatory abstra ct registration deadline DESCRIPTION:Conference title: Conference on Robot Learning\nWebsite: https: //www.corl.org/\nSource URL: https://openreview.net/group?id=robot-learni ng.org/CoRL/2026/Conference\nLocation: Austin\, Texas\, USA\nTopics: Mach ine Learning\, Control & Robotics\, Reinforcement Learning\, Deep Represe ntation Learning\nSize: L\nSubmission type: Paper-based\nConfidence: conf irmed\nLast checked date: 2026-10-07\nNotes: Tenth annual edition\; main conference Nov 9-11 and workshops Nov 12. OpenReview's May 26/29 at 11:59 UTC correspond to May 25/28 at 23:59 AoE\, consistent with the author in structions' Thursday May 28 cutoff. Abstract registration is mandatory. S atellite workshop papers are not main-track opportunities. ICORE 2026 lis ts CoRL as Unranked\, not A/A*/B/C. Size L is an editorial estimate.\nSco pe: Machine learning for physical robots\, especially imitation and reinf orcement learning\, learned perception and control\, robot foundation mod els\, and learning-based task and motion planning. Includes uncertainty\, generalization\, safety\, human-robot interaction\, and datasets grounde d in manipulation\, navigation\, or locomotion. General ML is relevant wh en it makes a substantive contribution to robot learning.\nAdditional top ics: Computer Vision & Pattern Recognition\, Probabilistic\, Causal & Unc ertainty ML\, Human-AI Interaction & Deployment\, Robustness & Safety\, L earning Theory & Statistical Foundations\nScope sources (2026): https://w ww.corl.org/contributions/call-for-papers\nScope last checked: 2026-10-07 URL:https://openreview.net/group?id=robot-learning.org/CoRL/2026/Conference END:VEVENT BEGIN:VEVENT UID:emnlp-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260526T115900Z DTEND:20260526T125900Z SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] EMNLP 2026 - ARR paper submission deadline DESCRIPTION:Conference title: Conference on Empirical Methods in Natural La nguage Processing\nWebsite: https://2026.emnlp.org/\nSource URL: https:// 2026.emnlp.org/calls/main_conference_papers/\nLocation: Budapest\, Hungar y\nTopics: Natural Language Processing & LLMs\, Deep Representation Learn ing\, LLM Agents & Tool Use\, Information Retrieval & Search\nSize: XXL\n Submission type: Paper-based\nConfidence: confirmed\nLast checked date: 2 026-10-07\nNotes: ARR fresh-paper submissions are closed. Commitment is o nly for reviewed papers and is not a new-paper route. Full conference win dow includes workshops. Size is an editorial estimate.\nScope: Empirical methods for language modeling and NLP\, including generation\, informatio n extraction\, multilinguality\, dialogue\, retrieval\, and model evaluat ion. Interpretability\, bias\, and safety matter within language systems. Curated coverage emphasizes language methods and evidence rather than ev ery application listed in the CFP.\nAdditional topics: Explainability & I nterpretability\, Fairness & Responsible AI\, Robustness & Safety\, Human -AI Interaction & Deployment\nScope sources (2026): https://2026.emnlp.or g/calls/main_conference_papers/\nScope last checked: 2026-10-07 URL:https://2026.emnlp.org/calls/main_conference_papers/ END:VEVENT BEGIN:VEVENT UID:ijcnlp-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260526T115900Z DTEND:20260526T125900Z SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] IJCNLP 2026 - ARR paper submission deadline DESCRIPTION:Conference title: Asia-Pacific ACL and International Joint Conf erence on Natural Language Processing\nWebsite: https://2026.aaclnet.org/ \nSource URL: https://2026.aaclnet.org/calls/main_conference_papers/\nLoc ation: Hengqin\, China\nTopics: Natural Language Processing & LLMs\, Deep Representation Learning\, LLM Agents & Tool Use\, Information Retrieval & Search\nSize: L\nSubmission type: Paper-based\nConfidence: confirmed\nL ast checked date: 2026-10-07\nNotes: Joint AACL-IJCNLP 2026 is one editio n under the IJCNLP series\, not two conferences. ARR submissions and both commitment rounds are closed. Joint-series recurrence is irregular\; do not automatically invent an annual next edition. Size is an editorial est imate.\nScope: Computational linguistics and natural-language technologie s in the Asia-Pacific community\, including multilingual and low-resource NLP\, language modeling\, generation\, dialogue\, structured prediction\ , and evaluation. The 2026 edition is jointly organized as AACL-IJCNLP. A lias identity is preserved without inheriting the separate ACL conference ranking.\nAdditional topics: Cognitive Science & Computational Cognition \, Explainability & Interpretability\, Fairness & Responsible AI\, Human- AI Interaction & Deployment\nScope sources (2026): https://2026.aaclnet.o rg/calls/main_conference_papers/\nScope last checked: 2026-10-07 URL:https://2026.aaclnet.org/calls/main_conference_papers/ END:VEVENT BEGIN:VEVENT UID:corl-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260529T115900Z DTEND:20260529T125900Z SUMMARY:[Machine Learning][Control & Robotics] CoRL 2026 - Main conference paper submission deadline DESCRIPTION:Conference title: Conference on Robot Learning\nWebsite: https: //www.corl.org/\nSource URL: https://openreview.net/group?id=robot-learni ng.org/CoRL/2026/Conference\nLocation: Austin\, Texas\, USA\nTopics: Mach ine Learning\, Control & Robotics\, Reinforcement Learning\, Deep Represe ntation Learning\nSize: L\nSubmission type: Paper-based\nConfidence: conf irmed\nLast checked date: 2026-10-07\nNotes: Tenth annual edition\; main conference Nov 9-11 and workshops Nov 12. OpenReview's May 26/29 at 11:59 UTC correspond to May 25/28 at 23:59 AoE\, consistent with the author in structions' Thursday May 28 cutoff. Abstract registration is mandatory. S atellite workshop papers are not main-track opportunities. ICORE 2026 lis ts CoRL as Unranked\, not A/A*/B/C. Size L is an editorial estimate.\nSco pe: Machine learning for physical robots\, especially imitation and reinf orcement learning\, learned perception and control\, robot foundation mod els\, and learning-based task and motion planning. Includes uncertainty\, generalization\, safety\, human-robot interaction\, and datasets grounde d in manipulation\, navigation\, or locomotion. General ML is relevant wh en it makes a substantive contribution to robot learning.\nAdditional top ics: Computer Vision & Pattern Recognition\, Probabilistic\, Causal & Unc ertainty ML\, Human-AI Interaction & Deployment\, Robustness & Safety\, L earning Theory & Statistical Foundations\nScope sources (2026): https://w ww.corl.org/contributions/call-for-papers\nScope last checked: 2026-10-07 URL:https://openreview.net/group?id=robot-learning.org/CoRL/2026/Conference END:VEVENT BEGIN:VEVENT UID:bmvc-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260530T115900Z DTEND:20260530T125900Z SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] BMVC 2026 - Paper submission deadline DESCRIPTION:Conference title: British Machine Vision Conference\nWebsite: h ttps://bmvc2026.bmva.org/\nSource URL: https://bmvc2026.bmva.org/dates/\n Location: Lancaster\, United Kingdom\nTopics: Computer Vision & Pattern R ecognition\, Machine Learning\, Deep Representation Learning\nSize: L\nSu bmission type: Paper-based / BMVA proceedings\nConfidence: confirmed\nLas t checked date: 2026-10-07\nNotes: Official BMVA pages confirm Lancaster and 23:59 AoE deadlines. The October poster/video upload is for accepted papers\, not a fresh poster submission. L is an editorial size estimate.\ nScope: Computer vision\, image processing\, and visual pattern recogniti on\, including visual learning\, recognition and segmentation\, reconstru ction\, motion and video analysis\, and evaluation of vision methods. The single-track BMVA conference combines methodological and applied vision research. It is an established broad vision venue\, not a specialist biom edical-imaging meeting.\nAdditional topics: Signal Processing\nScope sour ces (2026): https://bmvc2026.bmva.org/calls/call-for-papers/\nScope last checked: 2026-10-07 URL:https://bmvc2026.bmva.org/dates/ END:VEVENT BEGIN:VEVENT UID:iconip-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260531T135900Z DTEND:20260531T145900Z SUMMARY:[Machine Learning][Deep Representation Learning] ICONIP 2026 - Pape r submission deadline DESCRIPTION:Conference title: International Conference on Neural Informatio n Processing\nWebsite: https://www.iconip2026.org/\nSource URL: https://w ww.iconip2026.org/\nLocation: Melbourne\, Australia\nTopics: Machine Lear ning\, Deep Representation Learning\, Computational Neuroscience\, Signal Processing\nSize: L\nSubmission type: Paper-based\nConfidence: confirmed \nLast checked date: 2026-08-20\nNotes: Official ICONIP 2026 site lists M elbourne\, Nov 23-27\, and the extended paper deadline. URL:https://www.iconip2026.org/ END:VEVENT BEGIN:VEVENT UID:aaltd-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260606T065900Z DTEND:20260606T075900Z SUMMARY:[Time Series & Sequential Data][Data Mining & Data Science] AALTD 2 026 - Abstract submission deadline DESCRIPTION:Conference title: Workshop on Advanced Analytics and Learning o n Temporal Data\nWebsite: https://ecml-aaltd.github.io/aaltd2026/\nSource URL: https://ecml-aaltd.github.io/aaltd2026/dates.html\nLocation: Naples \, Italy\nTopics: Time Series & Sequential Data\, Data Mining & Data Scie nce\, Machine Learning\, Explainability & Interpretability\nSize: S\nSubm ission type: Workshop / paper-based\nConfidence: confirmed\nLast checked date: 2026-09-14\nNotes: Official AALTD 2026 pages confirm the Sep 11 Nap les workshop and its Jun 5 abstract\, Jun 12 paper\, and Aug 17 camera-re ady milestones (Pacific Time).\nScope: Analytics and learning specificall y for temporal data: time-series classification\, clustering\, forecastin g\, segmentation\, anomaly detection\, temporal representations\, and met ric or kernel learning. Includes temporal foundation models\, data stream s\, and explainable temporal analysis. Climate\, health\, and energy are examples of applications rather than separate defining topic assignments. \nAdditional topics: Deep Representation Learning\nScope sources (2026): https://ecml-aaltd.github.io/aaltd2026/\nScope last checked: 2026-10-07 URL:https://ecml-aaltd.github.io/aaltd2026/dates.html END:VEVENT BEGIN:VEVENT UID:icdm-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260607T115900Z DTEND:20260607T125900Z SUMMARY:[Data Mining & Data Science][Time Series & Sequential Data] ICDM 20 26 - Main conference full paper submission DESCRIPTION:Conference title: IEEE International Conference on Data Mining\ nWebsite: https://icdm2026.neu.edu.cn/\nSource URL: https://icdm2026.neu. edu.cn/\nLocation: Shenyang\, China\nTopics: Data Mining & Data Science\, Time Series & Sequential Data\, Machine Learning\nSize: L\nSubmission ty pe: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nNo tes: Official ICDM 2026 page lists conference dates\, location\, and main conference deadline. URL:https://icdm2026.neu.edu.cn/ END:VEVENT BEGIN:VEVENT UID:neurips-2026-deadline-workshop@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260607T115900Z DTEND:20260607T125900Z SUMMARY:[Machine Learning][Deep Representation Learning] NeurIPS 2026 - Wor kshop application deadline DESCRIPTION:Conference title: Conference on Neural Information Processing S ystems\nWebsite: https://neurips.cc/Conferences/2026\nSource URL: https:/ /neurips.cc/Conferences/2026/Dates\nLocation: Sydney\, Australia\nTopics: Machine Learning\, Deep Representation Learning\, Time Series & Sequenti al Data\, Explainability & Interpretability\nSize: XXL\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official NeurIPS 2026 dates page lists meeting dates and main paper subm ission deadlines.\nScope: Broad research in machine learning\, especially deep and generative models\, statistical foundations\, optimization\, pr obabilistic inference\, and learning for decision-making. Language\, visi on\, and scalable ML systems are important research communities. Interdis ciplinary applications should contribute insight of wider interest to the machine-learning community.\nAdditional topics: Learning Theory & Statis tical Foundations\, Probabilistic\, Causal & Uncertainty ML\, Reinforceme nt Learning\, Natural Language Processing & LLMs\, Computer Vision & Patt ern Recognition\, ML Systems & Infrastructure\nScope sources (2026): http s://neurips.cc/Conferences/2026/CallForPapers\nScope last checked: 2026-1 0-07 URL:https://neurips.cc/Conferences/2026/Dates END:VEVENT BEGIN:VEVENT UID:dsaa-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260608T115900Z DTEND:20260608T125900Z SUMMARY:[Data Mining & Data Science][Machine Learning] DSAA 2026 - Paper su bmission deadline DESCRIPTION:Conference title: IEEE International Conference on Data Science and Advanced Analytics\nWebsite: https://dsaa-2026.vercel.app/\nSource U RL: https://dsaa-2026.vercel.app/key-dates\nLocation: New Delhi\, India\n Topics: Data Mining & Data Science\, Machine Learning\, Time Series & Seq uential Data\, Human-AI Interaction & Deployment\nSize: M\nSubmission typ e: Paper-based / applied tracks\nConfidence: confirmed\nLast checked date : 2026-08-20\nNotes: DSAA 2026 site lists conference dates\, venue\, and extended paper deadline. URL:https://dsaa-2026.vercel.app/key-dates END:VEVENT BEGIN:VEVENT UID:dsaa-2026-deadline-special-session-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260608T115900Z DTEND:20260608T125900Z SUMMARY:[Data Mining & Data Science][Machine Learning] DSAA 2026 - Special session paper submission DESCRIPTION:Conference title: IEEE International Conference on Data Science and Advanced Analytics\nWebsite: https://dsaa-2026.vercel.app/\nSource U RL: https://dsaa-2026.vercel.app/key-dates\nLocation: New Delhi\, India\n Topics: Data Mining & Data Science\, Machine Learning\, Time Series & Seq uential Data\, Human-AI Interaction & Deployment\nSize: M\nSubmission typ e: Paper-based / applied tracks\nConfidence: confirmed\nLast checked date : 2026-08-20\nNotes: DSAA 2026 site lists conference dates\, venue\, and extended paper deadline. URL:https://dsaa-2026.vercel.app/key-dates END:VEVENT BEGIN:VEVENT UID:sfn-neuroscience-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260610T210000Z DTEND:20260610T220000Z SUMMARY:[Systems & Experimental Neuroscience][Computational Neuroscience] S fN Neuroscience 2026 - Regular research abstract submission deadline DESCRIPTION:Conference title: Society for Neuroscience Annual Meeting\nWebs ite: https://www.sfn.org/meetings/neuroscience-2026\nSource URL: https:// www.sfn.org/cfa\nLocation: Washington\, DC\, USA\nTopics: Systems & Exper imental Neuroscience\, Computational Neuroscience\, Cognitive Science & C omputational Cognition\, Neuroimaging & Brain Mapping\nSize: XXL\nSubmiss ion type: Abstract-based\nConfidence: confirmed\nLast checked date: 2026- 10-08\nNotes: Annual broad neuroscience meeting. Research abstracts are a rchived\, not peer-reviewed full-paper proceedings. Late-breaking submiss ions opened September 8 and were capped at 2\,500\, so could close early. Membership and presenter requirements apply. The late-breaking cutoff ho ur was not verified. Size is an editorial estimate.\nScope: Broad neurosc ience annual meeting spanning molecular and cellular neuroscience\, neura l circuits\, systems and behavioral neuroscience\, cognition\, developmen t and disease. Computational neuroscience\, neuroimaging and neurotechnol ogy are relevant parts of this broad remit\, not its exclusive identity. Research abstracts are presented and archived\; they are not standard ful l-paper conference proceedings.\nAdditional topics: EEG/MEG & Neural Sign als\, BCI & Neurotechnology\nScope sources (2026): https://www.sfn.org/cf a\, https://www.sfn.org/meetings\nScope last checked: 2026-10-08 URL:https://www.sfn.org/cfa END:VEVENT BEGIN:VEVENT UID:aaltd-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260613T065900Z DTEND:20260613T075900Z SUMMARY:[Time Series & Sequential Data][Data Mining & Data Science] AALTD 2 026 - Paper submission deadline DESCRIPTION:Conference title: Workshop on Advanced Analytics and Learning o n Temporal Data\nWebsite: https://ecml-aaltd.github.io/aaltd2026/\nSource URL: https://ecml-aaltd.github.io/aaltd2026/dates.html\nLocation: Naples \, Italy\nTopics: Time Series & Sequential Data\, Data Mining & Data Scie nce\, Machine Learning\, Explainability & Interpretability\nSize: S\nSubm ission type: Workshop / paper-based\nConfidence: confirmed\nLast checked date: 2026-09-14\nNotes: Official AALTD 2026 pages confirm the Sep 11 Nap les workshop and its Jun 5 abstract\, Jun 12 paper\, and Aug 17 camera-re ady milestones (Pacific Time).\nScope: Analytics and learning specificall y for temporal data: time-series classification\, clustering\, forecastin g\, segmentation\, anomaly detection\, temporal representations\, and met ric or kernel learning. Includes temporal foundation models\, data stream s\, and explainable temporal analysis. Climate\, health\, and energy are examples of applications rather than separate defining topic assignments. \nAdditional topics: Deep Representation Learning\nScope sources (2026): https://ecml-aaltd.github.io/aaltd2026/\nScope last checked: 2026-10-07 URL:https://ecml-aaltd.github.io/aaltd2026/dates.html END:VEVENT BEGIN:VEVENT UID:ieee-mlsp-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260613T115900Z DTEND:20260613T125900Z SUMMARY:[Machine Learning][Signal Processing] IEEE MLSP 2026 - Conference p aper submission deadline DESCRIPTION:Conference title: IEEE International Workshop on Machine Learni ng for Signal Processing\nWebsite: https://mlsp26.ieeesps.org/\nSource UR L: https://signalprocessingsociety.org/event-names/mlsp\nLocation: Atlant a\, Georgia\, USA\nTopics: Machine Learning\, Signal Processing\, Time Se ries & Sequential Data\nSize: M\nSubmission type: Paper-based / workshop- style conference\nConfidence: confirmed\nLast checked date: 2026-08-20\nN otes: IEEE Signal Processing Society MLSP page lists dates\, location\, w ebsite\, and paper submission deadline. URL:https://signalprocessingsociety.org/event-names/mlsp END:VEVENT BEGIN:VEVENT UID:euvip-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260616T115900Z DTEND:20260616T125900Z SUMMARY:[Signal Processing][Computer Vision & Pattern Recognition] EUVIP 20 26 - Extended regular paper submission deadline DESCRIPTION:Conference title: European Conference on Visual Information Pro cessing\nWebsite: https://euvip2026.github.io/\nSource URL: https://euvip 2026.github.io/\nLocation: Luxembourg\, Luxembourg\nTopics: Signal Proces sing\, Computer Vision & Pattern Recognition\, Machine Learning\, Deep Re presentation Learning\nSize: S\nSubmission type: Regular and special-sess ion papers\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Completed 2026 edition retained for the archive. Latest organizer announc ements supersede the original CFP deadlines\, confirming June 15 for regu lar papers and July 7 for special sessions\, both 23:59 AoE. Recent 2024- 2026 editions support an annual planning cadence. S is an editorial estim ate\; no ICORE or CCF rank is borrowed from related venues.\nScope: Visua l information processing across image\, video\, 3D\, and unconventional s ensing modalities. Its defining areas are computational imaging\, restora tion and enhancement\, coding\, recognition\, multimodal fusion\, and sub jective/objective quality assessment. Rendering and visualizing data\, hu man/biometric analysis\, and robust evaluation are recurring strands. An extensive applications list is not treated as equal coverage of every app lication domain or every responsible-AI subtopic.\nAdditional topics: Mul timedia Learning & Retrieval\, Computer Graphics & Visualization\, Biomet rics & Human Sensing\, Robustness & Safety\nScope sources (2026): https:/ /euvip2026.github.io/C4P.pdf\, https://euvip2026.github.io/calls/\nScope last checked: 2026-10-07 URL:https://euvip2026.github.io/ END:VEVENT BEGIN:VEVENT UID:sab-2026-deadline-notification@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260619 DTEND;VALUE=DATE:20260620 SUMMARY:[Artificial Life & Adaptive Systems][Computational Neuroscience] SA B 2026 - Acceptance notification (cutoff time unannounced) DESCRIPTION:Conference title: International Conference on Simulation of Ada ptive Behavior\nWebsite: https://sab-conference.org/\nSource URL: https:/ /sab-conference.org/call-for-contributions/\nLocation: Berlin\, Germany\n Topics: Artificial Life & Adaptive Systems\, Computational Neuroscience\, Cognitive Science & Computational Cognition\, Control & Robotics\nSize: M\nSubmission type: Reviewed papers + non-archival contributions\nConfide nce: confirmed\nLast checked date: 2026-10-08\nNotes: Biennial ISAB confe rence. Reviewed track-1 papers appear in Springer LNAI\; the other tracks include non-archival papers\, poster abstracts and position papers. The stated submission cutoff is Pacific Time\, not AoE\; May 15 uses daylight time. Size is an editorial estimate.\nScope: Understanding adaptive beha vior through biological and artificial agents\, including embodied cognit ion\, neural and computational models\, robotics\, learning\, evolution a nd collective behavior. The biennial ISAB meeting combines archival proce edings papers with deliberately non-archival contributions and poster abs tracts.\nAdditional topics: Machine Learning\, Reinforcement Learning\, A utonomous Agents & Multiagent Systems\nScope sources (2026): https://sab- conference.org/call-for-contributions/\nScope last checked: 2026-10-08\nO fficial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://sab-conference.org/call-for-contributions/ END:VEVENT BEGIN:VEVENT UID:wacv-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260620T115900Z DTEND:20260620T125900Z SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] WACV 2027 - Round 1 new-paper enrollment deadline DESCRIPTION:Conference title: IEEE/CVF Winter Conference on Applications of Computer Vision\nWebsite: https://wacv.thecvf.com/Conferences/2027\nSour ce URL: https://wacv.thecvf.com/Conferences/2027/CallForPapers\nLocation: Lake Buena Vista\, Florida\, USA\nTopics: Computer Vision & Pattern Reco gnition\, Machine Learning\, Deep Representation Learning\nSize: XL\nSubm ission type: Paper-based / two independent submission rounds\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official CFP confirms s eparate enrollment gates for both new-paper rounds at 23:59 AoE. Both are already closed despite the future camera-ready deadline. Main conference is January 6-8 at Disney Springs\; workshops run January 4-5. XL is an e ditorial estimate\, not an acceptance-rate proxy.\nScope: Applied compute r vision and visual learning\, with an emphasis on practical recognition\ , detection\, segmentation\, image/video analysis\, 3D perception\, and d eployable visual systems. Human analysis and multimodal visual methods ar e established areas. Compared with the flagship trio\, WACV particularly welcomes meaningful application-driven contributions supported by sound e valuation\; its two submission rounds are routes\, not different fields.\ nAdditional topics: Signal Processing\, Biometrics & Human Sensing\, Mult imedia Learning & Retrieval\nScope sources (2027): https://wacv.thecvf.co m/Conferences/2027/CallForPapers\nScope last checked: 2026-10-07 URL:https://wacv.thecvf.com/Conferences/2027/CallForPapers END:VEVENT BEGIN:VEVENT UID:areadne-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260623 DTEND;VALUE=DATE:20260628 SUMMARY:[Systems & Experimental Neuroscience][Computational Neuroscience] A READNE 2026 - Conference DESCRIPTION:Conference title: AREADNE: Research in Encoding and Decoding of Neural Ensembles\nWebsite: https://areadne.org/\nSource URL: https://are adne.org/\nLocation: Milos\, Greece\nTopics: Systems & Experimental Neuro science\, Computational Neuroscience\, BCI & Neurotechnology\nSize: S\nSu bmission type: Abstract-based\nConfidence: confirmed\nLast checked date: 2026-10-08\nNotes: Historical biennial meeting. June 23 is the welcome re ception\; scientific sessions follow. Proceedings are an abstract book\, not archival full papers. Abstracts opened January 12\, 2026\; exact open ing and cutoff hours were not announced. Size is an editorial estimate.\n Scope: Encoding and decoding of neural ensembles\, with emphasis on syste ms neuroscience\, neural population recordings\, neural representations\, computation and links to behavior. It is a focused experimental/computat ional neuroscience meeting rather than a general neuroscience congress. C ontributions are reviewed abstracts for talks and posters\; its proceedin gs book is a collection of abstracts.\nAdditional topics: Cognitive Scien ce & Computational Cognition\nScope sources (2026): https://areadne.org/\ nScope last checked: 2026-10-08 URL:https://areadne.org/ LOCATION:Milos\, Greece END:VEVENT BEGIN:VEVENT UID:lod-2026-deadline-regular-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260624T115900Z DTEND:20260624T125900Z SUMMARY:[Machine Learning][Data Mining & Data Science] AIS 2026 (formerly L OD) - First-batch paper submission deadline DESCRIPTION:Conference title: Artificial Intelligence Symposium (formerly L OD)\nWebsite: https://ais2026.icas.events/\nSource URL: https://ais2026.i cas.events/\nLocation: Castiglione della Pescaia\, Italy\nTopics: Machine Learning\, Data Mining & Data Science\, Learning Theory & Statistical Fo undations\, Time Series & Sequential Data\nSize: M\nSubmission type: Pape r-based / Springer proceedings\nConfidence: confirmed\nLast checked date: 2026-10-06\nNotes: The organizer says LOD was renamed AIS in 2026 and co nfirms Sep 21-24 in Tuscany. Its page lists a Jun 23 first batch and an e xtended Aug 18 second-batch countdown. The prior lod-2026 ID is retained for stable calendar subscriptions. URL:https://ais2026.icas.events/ END:VEVENT BEGIN:VEVENT UID:ieee-biocas-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260626 DTEND;VALUE=DATE:20260627 SUMMARY:[Healthcare & Clinical AI][BCI & Neurotechnology] IEEE BioCAS 2026 - Research paper submission deadline (cutoff time unannounced) DESCRIPTION:Conference title: IEEE Biomedical Circuits and Systems Conferen ce\nWebsite: https://2026.ieee-biocas.org/2026/\nSource URL: https://2026 .ieee-biocas.org/2026/pages_submission/call_for_papers.vm\nLocation: Inch eon\, South Korea\nTopics: Healthcare & Clinical AI\, BCI & Neurotechnolo gy\, Signal Processing\, Neuromorphic & Brain-inspired Computing\nSize: M \nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-10-08\nNotes: Main conference October 8-10\; adjacent workshops are October 7 and 11. Reviewed accepted papers appear in IEEE proceedings. E xact submission cutoff hour is unannounced. Size is an editorial estimate .\nScope: Biomedical circuits\, integrated systems and medical devices sp anning biosignal acquisition and processing\, neural interfaces\, implant s\, bioelectronics and low-power or on-device biomedical computation. Bra in-inspired hardware and machine learning are relevant when tied to biome dical engineering\, rather than as generic algorithms.\nAdditional topics : EEG/MEG & Neural Signals\, Machine Learning\, ML Systems & Infrastructu re\nScope sources (2026): https://2026.ieee-biocas.org/2026/pages_submiss ion/call_for_papers.vm\, https://2027.ieee-biocas.org/\nScope last checke d: 2026-10-08\nOfficial deadline day\; exact cutoff hour/timezone is unan nounced. Verify the organizer's submission portal. URL:https://2026.ieee-biocas.org/2026/pages_submission/call_for_papers.vm END:VEVENT BEGIN:VEVENT UID:wacv-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260627T115900Z DTEND:20260627T125900Z SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] WACV 2027 - Round 1 paper submission deadline DESCRIPTION:Conference title: IEEE/CVF Winter Conference on Applications of Computer Vision\nWebsite: https://wacv.thecvf.com/Conferences/2027\nSour ce URL: https://wacv.thecvf.com/Conferences/2027/CallForPapers\nLocation: Lake Buena Vista\, Florida\, USA\nTopics: Computer Vision & Pattern Reco gnition\, Machine Learning\, Deep Representation Learning\nSize: XL\nSubm ission type: Paper-based / two independent submission rounds\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official CFP confirms s eparate enrollment gates for both new-paper rounds at 23:59 AoE. Both are already closed despite the future camera-ready deadline. Main conference is January 6-8 at Disney Springs\; workshops run January 4-5. XL is an e ditorial estimate\, not an acceptance-rate proxy.\nScope: Applied compute r vision and visual learning\, with an emphasis on practical recognition\ , detection\, segmentation\, image/video analysis\, 3D perception\, and d eployable visual systems. Human analysis and multimodal visual methods ar e established areas. Compared with the flagship trio\, WACV particularly welcomes meaningful application-driven contributions supported by sound e valuation\; its two submission rounds are routes\, not different fields.\ nAdditional topics: Signal Processing\, Biometrics & Human Sensing\, Mult imedia Learning & Retrieval\nScope sources (2027): https://wacv.thecvf.co m/Conferences/2027/CallForPapers\nScope last checked: 2026-10-07 URL:https://wacv.thecvf.com/Conferences/2027/CallForPapers END:VEVENT BEGIN:VEVENT UID:chil-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260628 DTEND;VALUE=DATE:20260701 SUMMARY:[Healthcare & Clinical AI][Probabilistic\, Causal & Uncertainty ML] CHIL 2026 - Conference DESCRIPTION:Conference title: Conference on Health\, Inference\, and Learni ng\nWebsite: https://chil.ahli.cc/\nSource URL: https://chil.ahli.cc/\nLo cation: Seattle\, Washington\, USA\nTopics: Healthcare & Clinical AI\, Pr obabilistic\, Causal & Uncertainty ML\, Fairness & Responsible AI\, Machi ne Learning\nSize: M\nSubmission type: Paper-based\nConfidence: confirmed \nLast checked date: 2026-08-20\nNotes: Official CHIL pages list conferen ce dates\, location\, and submission timeline.\nScope: Machine learning a nd inference for clinical\, public\, and population health. Distinguishin g areas include causal inference\, survival analysis\, multimodal health data\, generalization across populations\, interpretability\, and clinica l evaluation and deployment. Research may emphasize methods\, practical a pplications\, or societal impact. Health-focused inference and evaluation remain the common thread across these tracks.\nAdditional topics: Explai nability & Interpretability\, Human-AI Interaction & Deployment\, Robustn ess & Safety\, Time Series & Sequential Data\nScope sources (2026): https ://chil.ahli.cc/submit/call-for-papers/\nScope last checked: 2026-10-07 URL:https://chil.ahli.cc/ LOCATION:Seattle\, Washington\, USA END:VEVENT BEGIN:VEVENT UID:eccv-2026-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260701T115900Z DTEND:20260701T125900Z SUMMARY:[Computer Vision & Pattern Recognition][Deep Representation Learnin g] ECCV 2026 - Camera-ready deadline DESCRIPTION:Conference title: European Conference on Computer Vision\nWebsi te: https://eccv.ecva.net/Conferences/2026\nSource URL: https://eccv.ecva .net/Conferences/2026/Dates\nLocation: Malmo\, Sweden\nTopics: Computer V ision & Pattern Recognition\, Deep Representation Learning\, Machine Lear ning\nSize: XXL\nSubmission type: Paper-based / Springer proceedings\nCon fidence: confirmed\nLast checked date: 2026-10-07\nNotes: Completed 2026 edition retained for the archive. Official dates use 23:00 CET for regist ration/papers (22:00 UTC)\, but camera-ready is AoE. ECCV is biennial in even years. XXL is supported by the 2024 organizers' report of 6\,705 par ticipants.\nScope: Broad research in visual perception\, representation l earning\, recognition\, segmentation\, 3D geometry and reconstruction\, c omputational imaging\, and image/video synthesis. Vision-language models\ , multimodal understanding\, human motion and appearance\, and robust vis ual systems extend this core. ECCV is the biennial European flagship for computer vision\; the scope uses the actual published 2026 CFP\, not an i nvented 2028 call.\nAdditional topics: Computer Graphics & Visualization\ , Multimedia Learning & Retrieval\, Natural Language Processing & LLMs\, Biometrics & Human Sensing\, Robustness & Safety\nScope sources (2026): h ttps://eccv.ecva.net/Conferences/2026/CallForPapers\nScope last checked: 2026-10-07 URL:https://eccv.ecva.net/Conferences/2026/Dates END:VEVENT BEGIN:VEVENT UID:bernstein-conference-2026-deadline-abstract@scientific-conference-calen dar DTSTAMP:19700101T000000Z DTSTART:20260701T130000Z DTEND:20260701T140000Z SUMMARY:[Computational Neuroscience][EEG/MEG & Neural Signals] Bernstein Co nference 2026 - Abstract submission deadline DESCRIPTION:Conference title: Bernstein Conference\nWebsite: https://bernst ein-network.de/en/bernstein-conference/\nSource URL: https://bernstein-ne twork.de/en/bernstein-conference/general-information/important-dates-faq/ \nLocation: Frankfurt am Main\, Germany\nTopics: Computational Neuroscien ce\, EEG/MEG & Neural Signals\, Machine Learning\, Time Series & Sequenti al Data\nSize: M\nSubmission type: Abstract-based / talks selective\nConf idence: confirmed\nLast checked date: 2026-08-31\nNotes: Official Bernste in Conference information confirms Frankfurt am Main\, Sep 28-Oct 1\, and the Jul 1 contributed-abstract deadline. URL:https://bernstein-network.de/en/bernstein-conference/general-informatio n/important-dates-faq/ END:VEVENT BEGIN:VEVENT UID:ideal-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260701T225900Z DTEND:20260701T235900Z SUMMARY:[Machine Learning][Data Mining & Data Science] IDEAL 2026 - Paper s ubmission deadline DESCRIPTION:Conference title: International Conference on Intelligent Data Engineering and Automated Learning\nWebsite: https://www.ideal2026.org/\n Source URL: https://www.ideal2026.org/calls/key-dates\nLocation: Manchest er\, United Kingdom\nTopics: Machine Learning\, Data Mining & Data Scienc e\, Deep Representation Learning\, Learning Theory & Statistical Foundati ons\nSize: M\nSubmission type: Paper-based\nConfidence: confirmed\nLast c hecked date: 2026-08-31\nNotes: Official IDEAL 2026 pages confirm Manches ter\, Nov 19-21\, and the Jul 1 paper-submission deadline. URL:https://www.ideal2026.org/calls/key-dates END:VEVENT BEGIN:VEVENT UID:conll-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260703 DTEND;VALUE=DATE:20260705 SUMMARY:[Natural Language Processing & LLMs][Cognitive Science & Computatio nal Cognition] CoNLL 2026 - Conference (estimated) DESCRIPTION:Conference title: Conference on Computational Natural Language Learning\nWebsite: https://www.conll.org/2026\nSource URL: https://www.co nll.org/2026\nLocation: San Diego\, California\, USA\nTopics: Natural Lan guage Processing & LLMs\, Cognitive Science & Computational Cognition\, C omputational Neuroscience\, Explainability & Interpretability\nSize: S\nS ubmission type: Paper-based\nConfidence: announced_no_deadlines\nLast che cked date: 2026-10-07\nNotes: Archived meeting dates and focused scientif ic/cognitive NLP scope are confirmed. The current 2026 program no longer exposes the submission schedule\; no past deadline has been invented. Siz e is an editorial estimate.\nScope: Scientifically\, cognitively\, and li nguistically motivated computational language learning. Characteristic wo rk concerns language acquisition\, psycholinguistics\, grammars and meani ng\, multilinguality\, language and the brain\, and grounded language mod els. This is a focused scientific NLP venue rather than a generic empiric al language-model benchmark conference.\nAdditional topics: Deep Represen tation Learning\, Multimedia Learning & Retrieval\nScope sources (2026): https://www.conll.org/2026\nScope last checked: 2026-10-07 URL:https://www.conll.org/2026 LOCATION:San Diego\, California\, USA END:VEVENT BEGIN:VEVENT UID:nodycon-2026-deadline-journal-manuscript@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260703 DTEND;VALUE=DATE:20260704 SUMMARY:[Nonlinear Dynamics & Chaos][System Identification & Data-driven Dy namics] NODYCON 2026 - Full-length manuscript deadline for presented work (cutoff time unannounced) DESCRIPTION:Conference title: International Nonlinear Dynamics Conference\n Website: https://nodycon2026.app.earendelplatform.com/\nSource URL: https ://www.sisco-scienzadellecostruzioni.org/index.php/eventi/prossimi-eventi /conferenza/nodycon-2026\nLocation: Rome\, Italy\nTopics: Nonlinear Dynam ics & Chaos\, System Identification & Data-driven Dynamics\, Control & Ro botics\, Complex Systems & Network Science\nSize: L\nSubmission type: Abs tract-based + selected journal papers\nConfidence: confirmed\nLast checke d date: 2026-10-08\nNotes: Historical 2026 meeting. Selected presented pa pers may be considered for Nonlinear Dynamics after additional journal re view\; that manuscript step is not a fresh conference submission. Prior e ditions have Springer proceedings\, but no blanket 2026 proceedings promi se is asserted. The 2025-to-2026 change breaks the earlier biennial caden ce\; the next edition is unannounced. Cutoff hours are unannounced. Size is an editorial estimate.\nScope: Nonlinear dynamics in engineering and p hysical systems: bifurcations\, chaos\, vibrations\, synchronization\, no nlinear control\, system identification and data-driven dynamical modelin g. Machine learning is relevant through discovering\, forecasting or cont rolling dynamics. Publication is edition-specific: past Springer volumes do not imply that every later meeting has standard proceedings.\nAddition al topics: Time Series & Sequential Data\, Machine Learning\nScope source s (2026): https://www.sisco-scienzadellecostruzioni.org/index.php/eventi/ prossimi-eventi/conferenza/nodycon-2026\nScope last checked: 2026-10-08\n Official deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://www.sisco-scienzadellecostruzioni.org/index.php/eventi/prossimi -eventi/conferenza/nodycon-2026 END:VEVENT BEGIN:VEVENT UID:ieee-bhi-2026-deadline-regular-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260704T075900Z DTEND:20260704T085900Z SUMMARY:[Healthcare & Clinical AI][Data Mining & Data Science] IEEE BHI 202 6 - Regular paper submission DESCRIPTION:Conference title: IEEE EMBS International Conference on Biomedi cal and Health Informatics\nWebsite: https://bhi.embs.org/2026/\nSource U RL: https://bhi.embs.org/2026/contributors/papers/\nLocation: Hong Kong\, China\nTopics: Healthcare & Clinical AI\, Data Mining & Data Science\, M achine Learning\, Human-AI Interaction & Deployment\nSize: M\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-20\n Notes: Official BHI 2026 pages list conference dates\, location\, and sub mission deadlines. URL:https://bhi.embs.org/2026/contributors/papers/ END:VEVENT BEGIN:VEVENT UID:icml-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260706 DTEND;VALUE=DATE:20260712 SUMMARY:[Machine Learning][Learning Theory & Statistical Foundations] ICML 2026 - Conference DESCRIPTION:Conference title: International Conference on Machine Learning\ nWebsite: https://icml.cc/Conferences/2026\nSource URL: https://icml.cc/C onferences/2026/Dates\nLocation: Seoul\, South Korea\nTopics: Machine Lea rning\, Learning Theory & Statistical Foundations\, Deep Representation L earning\, Time Series & Sequential Data\nSize: XXL\nSubmission type: Pape r-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Off icial ICML 2026 dates page lists tutorials\, main conference\, workshops\ , and paper deadlines.\nScope: Methodological and theoretical machine lea rning\, including supervised and unsupervised learning\, deep generative models\, optimization\, statistical learning theory\, Bayesian methods\, and reinforcement learning. Scalable systems and trustworthy learning are established parts of the scope\; application papers should offer contrib utions of wider interest to ML.\nAdditional topics: Probabilistic\, Causa l & Uncertainty ML\, Reinforcement Learning\, Explainability & Interpreta bility\, Robustness & Safety\, ML Systems & Infrastructure\, Federated & Distributed Learning\nScope sources (2026): https://icml.cc/Conferences/2 026/CallForPapers\nScope last checked: 2026-10-07 URL:https://icml.cc/Conferences/2026/Dates LOCATION:Seoul\, South Korea END:VEVENT BEGIN:VEVENT UID:acml-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260706T115900Z DTEND:20260706T125900Z SUMMARY:[Machine Learning][Learning Theory & Statistical Foundations] ACML 2026 - Conference-track paper submission deadline DESCRIPTION:Conference title: Asian Conference on Machine Learning\nWebsite : https://www.acml-conf.org/2026/\nSource URL: https://www.acml-conf.org/ 2026/calls/papers/\nLocation: Melbourne\, Australia\nTopics: Machine Lear ning\, Learning Theory & Statistical Foundations\, Explainability & Inter pretability\, Robustness & Safety\nSize: L\nSubmission type: Paper-based / OpenReview\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes : Official ACML 2026 pages list Melbourne\, Dec 1-4\, and the revised con ference-track submission deadline.\nScope: Theory and practice of machine learning\, including probabilistic methods\, representation learning\, t ransfer and meta-learning\, reinforcement learning\, and learning theory. Generative models\, language models\, and trustworthy learning extend th is core. The broad applications list is not treated as evidence that ever y application field defines the conference.\nAdditional topics: Deep Repr esentation Learning\, Probabilistic\, Causal & Uncertainty ML\, Reinforce ment Learning\, Natural Language Processing & LLMs\, Fairness & Responsib le AI\, Privacy-preserving ML\nScope sources (2026): https://www.acml-con f.org/2026/calls/papers/\nScope last checked: 2026-10-07 URL:https://www.acml-conf.org/2026/calls/papers/ END:VEVENT BEGIN:VEVENT UID:midl-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260708 DTEND;VALUE=DATE:20260711 SUMMARY:[Biomedical Imaging][Deep Representation Learning] MIDL 2026 - Conf erence DESCRIPTION:Conference title: Medical Imaging with Deep Learning\nWebsite: https://2026.midl.io/\nSource URL: https://2026.midl.io/\nLocation: Taipe i\, Taiwan\nTopics: Biomedical Imaging\, Deep Representation Learning\, H ealthcare & Clinical AI\nSize: M\nSubmission type: Paper-based\nConfidenc e: confirmed\nLast checked date: 2026-08-20\nNotes: Official MIDL 2026 pa ges list conference dates\, location\, and paper deadlines.\nScope: Deep learning for biomedical image analysis\, especially segmentation\, detect ion\, reconstruction\, registration\, generative imaging\, and learning f rom limited labels. Uncertainty\, interpretability\, multi-site learning\ , robustness\, and clinical validation extend that imaging core. Multimod al foundation models are relevant when grounded in medical imaging.\nAddi tional topics: Computer Vision & Pattern Recognition\, Probabilistic\, Ca usal & Uncertainty ML\, Explainability & Interpretability\, Robustness & Safety\, Federated & Distributed Learning\nScope sources (2026): https:// 2026.midl.io/call-for-papers\nScope last checked: 2026-10-07 URL:https://2026.midl.io/ LOCATION:Taipei\, Taiwan END:VEVENT BEGIN:VEVENT UID:euvip-2026-deadline-special-session-paper@scientific-conference-calenda r DTSTAMP:19700101T000000Z DTSTART:20260708T115900Z DTEND:20260708T125900Z SUMMARY:[Signal Processing][Computer Vision & Pattern Recognition] EUVIP 20 26 - Extended special-session paper submission deadline DESCRIPTION:Conference title: European Conference on Visual Information Pro cessing\nWebsite: https://euvip2026.github.io/\nSource URL: https://euvip 2026.github.io/\nLocation: Luxembourg\, Luxembourg\nTopics: Signal Proces sing\, Computer Vision & Pattern Recognition\, Machine Learning\, Deep Re presentation Learning\nSize: S\nSubmission type: Regular and special-sess ion papers\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Completed 2026 edition retained for the archive. Latest organizer announc ements supersede the original CFP deadlines\, confirming June 15 for regu lar papers and July 7 for special sessions\, both 23:59 AoE. Recent 2024- 2026 editions support an annual planning cadence. S is an editorial estim ate\; no ICORE or CCF rank is borrowed from related venues.\nScope: Visua l information processing across image\, video\, 3D\, and unconventional s ensing modalities. Its defining areas are computational imaging\, restora tion and enhancement\, coding\, recognition\, multimodal fusion\, and sub jective/objective quality assessment. Rendering and visualizing data\, hu man/biometric analysis\, and robust evaluation are recurring strands. An extensive applications list is not treated as equal coverage of every app lication domain or every responsible-AI subtopic.\nAdditional topics: Mul timedia Learning & Retrieval\, Computer Graphics & Visualization\, Biomet rics & Human Sensing\, Robustness & Safety\nScope sources (2026): https:/ /euvip2026.github.io/C4P.pdf\, https://euvip2026.github.io/calls/\nScope last checked: 2026-10-07 URL:https://euvip2026.github.io/ END:VEVENT BEGIN:VEVENT UID:uai-2026-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260709T115900Z DTEND:20260709T125900Z SUMMARY:[Probabilistic\, Causal & Uncertainty ML][Machine Learning] UAI 202 6 - Camera-ready deadline DESCRIPTION:Conference title: Conference on Uncertainty in Artificial Intel ligence\nWebsite: https://www.auai.org/uai2026/\nSource URL: https://www. auai.org/uai2026/important_dates\nLocation: Amsterdam\, Netherlands\nTopi cs: Probabilistic\, Causal & Uncertainty ML\, Machine Learning\, Learning Theory & Statistical Foundations\nSize: L\nSubmission type: Paper-based\ nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official UA I 2026 pages list tutorials\, main conference\, workshops\, and paper sub mission deadline.\nScope: Learning and reasoning under uncertainty\, cent ered on probabilistic and Bayesian modeling\, graphical models\, causal i nference\, approximate inference\, and decision theory. Includes Monte Ca rlo and variational methods\, uncertainty quantification\, sequential mod els\, and principled analysis of learning algorithms. Uncertainty is the organizing theme\, not just another application of general-purpose AI.\nA dditional topics: Deep Representation Learning\, Reinforcement Learning\, Time Series & Sequential Data\, Explainability & Interpretability\, Robu stness & Safety\nScope sources (2026): https://www.auai.org/uai2026/subje ct_areas\, https://www.auai.org/uai2026/call_for_papers\nScope last check ed: 2026-10-07 URL:https://www.auai.org/uai2026/important_dates END:VEVENT BEGIN:VEVENT UID:cns-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260711 DTEND;VALUE=DATE:20260716 SUMMARY:[Computational Neuroscience][Time Series & Sequential Data] CNS* 20 26 - Conference DESCRIPTION:Conference title: Computational Neuroscience Annual Meeting\nWe bsite: https://www.cnsorg.org/cns-2026\nSource URL: https://www.cnsorg.or g/cns-2026\nLocation: Halifax\, Canada\nTopics: Computational Neuroscienc e\, Time Series & Sequential Data\, Machine Learning\nSize: M\nSubmission type: Abstract-based\nConfidence: confirmed\nLast checked date: 2026-08- 31\nNotes: Official CNS* 2026 dates page confirms Halifax\, Jul 11-15\, a nd the Mar 18 extended abstract deadline. URL:https://www.cnsorg.org/cns-2026 LOCATION:Halifax\, Canada END:VEVENT BEGIN:VEVENT UID:smc-2026-deadline-extended-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260712 DTEND;VALUE=DATE:20260713 SUMMARY:[Control & Robotics][Complex Systems & Network Science] SMC 2026 - Two-page abstract submission deadline (cutoff time unannounced) DESCRIPTION:Conference title: IEEE International Conference on Systems\, Ma n\, and Cybernetics\nWebsite: https://www.ieeesmc2026.org/\nSource URL: h ttps://www.ieeesmc2026.org/Important-Dates\nLocation: Bellevue\, Washingt on\, USA\nTopics: Control & Robotics\, Complex Systems & Network Science\ , Machine Learning\, Human-AI Interaction & Deployment\nSize: L\nSubmissi on type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-10-0 7\nNotes: Organizer date table confirms October 4-7 (society calendar has older October 4-6). Duplicate camera-ready blocks disagree August 2/9\, so neither is asserted. Exact paper cutoff hours unannounced. Size is an editorial estimate.\nScope: Systems science\, cybernetics\, and human-mac hine systems. Characteristic ML-facing work includes intelligent and lear ning-based control\, autonomous systems\, adaptive decision-making\, and human-AI interaction\; brain-machine interfaces and cognitive systems are meaningful extensions. Its interdisciplinary remit is curated without ta gging every industrial application as a core specialty.\nAdditional topic s: Reinforcement Learning\, System Identification & Data-driven Dynamics\ , BCI & Neurotechnology\, Cognitive Science & Computational Cognition\nSc ope sources (2026): https://www.ieeesmc2026.org/call-for-papers\nScope la st checked: 2026-10-07\nOfficial deadline day\; exact cutoff hour/timezon e is unannounced. Verify the organizer's submission portal. URL:https://www.ieeesmc2026.org/Important-Dates END:VEVENT BEGIN:VEVENT UID:ssspr-2026-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260715T215900Z DTEND:20260715T225900Z SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] S+SSPR 20 26 - Camera-ready deadline DESCRIPTION:Conference title: Joint IAPR International Workshops on Statist ical Techniques in Pattern Recognition and Structural and Syntactic Patte rn Recognition\nWebsite: https://ssspr2026.inf.unibe.ch/\nSource URL: htt ps://ssspr2026.inf.unibe.ch/\nLocation: Bern\, Switzerland\nTopics: Compu ter Vision & Pattern Recognition\, Machine Learning\, Learning Theory & S tatistical Foundations\nSize: M\nSubmission type: Paper-based / workshop- style conference\nConfidence: confirmed\nLast checked date: 2026-09-14\nN otes: Official S+SSPR 2026 pages confirm Bern\, Aug 24-26\, the final May 25 paper deadline\, and the Jul 15 camera-ready deadline. URL:https://ssspr2026.inf.unibe.ch/ END:VEVENT BEGIN:VEVENT UID:acm-mm-2026-deadline-workshop-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260716 DTEND;VALUE=DATE:20260717 SUMMARY:[Multimedia Learning & Retrieval][Computer Vision & Pattern Recogni tion] ACM MM 2026 - Workshop paper submission deadline (cutoff time unann ounced) DESCRIPTION:Conference title: ACM International Conference on Multimedia\nW ebsite: https://2026.acmmm.org/\nSource URL: https://2026.acmmm.org/site/ important-dates.html\nLocation: Rio de Janeiro\, Brazil\nTopics: Multimed ia Learning & Retrieval\, Computer Vision & Pattern Recognition\, Deep Re presentation Learning\, Signal Processing\nSize: XL\nSubmission type: Pap er-based / multimedia research\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official 2026 pages confirm Rio and deadline days. Th e retrieved important-dates page has no cutoff hour or timezone\, so the stored AoE timestamps are provisional. Main\, BNI\, and dataset tracks sh are March/April deadlines\; workshop papers have their own route. XL is a n editorial estimate.\nScope: Multimedia understanding\, learning\, gener ation\, and retrieval across image\, video\, audio\, language\, and other modalities. Characteristic work includes multimodal fusion\, generative and foundation models\, scalable indexing and search\, cross-modal alignm ent\, and human-centered multimedia experiences. The 2026 steering-commit tee scope also emphasizes explainability. Healthcare\, education\, and en tertainment are applications\, not blanket topical identities.\nAdditiona l topics: Machine Learning\, Natural Language Processing & LLMs\, Human-A I Interaction & Deployment\, Data Mining & Data Science\, Explainability & Interpretability\nScope sources (2026): https://2026.acmmm.org/site/top ics.html\, https://2026.acmmm.org/\nScope last checked: 2026-10-07\nOffic ial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://2026.acmmm.org/site/important-dates.html END:VEVENT BEGIN:VEVENT UID:sab-2026-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260717 DTEND;VALUE=DATE:20260718 SUMMARY:[Artificial Life & Adaptive Systems][Computational Neuroscience] SA B 2026 - Camera-ready proceedings paper deadline (cutoff time unannounced ) DESCRIPTION:Conference title: International Conference on Simulation of Ada ptive Behavior\nWebsite: https://sab-conference.org/\nSource URL: https:/ /sab-conference.org/call-for-contributions/\nLocation: Berlin\, Germany\n Topics: Artificial Life & Adaptive Systems\, Computational Neuroscience\, Cognitive Science & Computational Cognition\, Control & Robotics\nSize: M\nSubmission type: Reviewed papers + non-archival contributions\nConfide nce: confirmed\nLast checked date: 2026-10-08\nNotes: Biennial ISAB confe rence. Reviewed track-1 papers appear in Springer LNAI\; the other tracks include non-archival papers\, poster abstracts and position papers. The stated submission cutoff is Pacific Time\, not AoE\; May 15 uses daylight time. Size is an editorial estimate.\nScope: Understanding adaptive beha vior through biological and artificial agents\, including embodied cognit ion\, neural and computational models\, robotics\, learning\, evolution a nd collective behavior. The biennial ISAB meeting combines archival proce edings papers with deliberately non-archival contributions and poster abs tracts.\nAdditional topics: Machine Learning\, Reinforcement Learning\, A utonomous Agents & Multiagent Systems\nScope sources (2026): https://sab- conference.org/call-for-contributions/\nScope last checked: 2026-10-08\nO fficial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://sab-conference.org/call-for-contributions/ END:VEVENT BEGIN:VEVENT UID:dynamics-days-europe-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260719 DTEND;VALUE=DATE:20260725 SUMMARY:[Nonlinear Dynamics & Chaos][Complex Systems & Network Science] Dyn amics Days Europe 2026 - Conference DESCRIPTION:Conference title: Dynamics Days Europe\nWebsite: https://dde-20 26.sci-meet.net/\nSource URL: https://dde-2026.sci-meet.net/\nLocation: L isbon\, Portugal\nTopics: Nonlinear Dynamics & Chaos\, Complex Systems & Network Science\, Time Series & Sequential Data\, System Identification & Data-driven Dynamics\nSize: L\nSubmission type: Abstract-based\nConfiden ce: confirmed\nLast checked date: 2026-10-08\nNotes: Historical annual me eting. Contributions are talk/poster abstracts collected in a book of abs tracts\, not standard full-paper proceedings. Minisymposium organization is a separate non-contribution milestone. Abstract submitters had to comp lete fee payment by May 29. Exact cutoff hours were unannounced. Size is an editorial estimate.\nScope: Theory and applications of nonlinear dynam ics: chaos\, bifurcations\, synchronization\, pattern formation\, complex networks\, stochastic dynamics and time-series analysis. ML and neurodyn amics are characteristic interdisciplinary extensions. Contributed talks and posters use abstracts\, while minisymposium proposals are organizer a ctivity.\nAdditional topics: Machine Learning\, Computational Neuroscienc e\, Control & Robotics\, Graphs & Graph Learning\nScope sources (2026): h ttps://dde-2026.sci-meet.net/abstract-submission-2\nScope last checked: 2 026-10-08 URL:https://dde-2026.sci-meet.net/ LOCATION:Lisbon\, Portugal END:VEVENT BEGIN:VEVENT UID:alife-2026-deadline-late-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260721T115900Z DTEND:20260721T125900Z SUMMARY:[Artificial Life & Adaptive Systems][Complex Systems & Network Scie nce] ALIFE 2026 - Late-breaking abstract submission deadline DESCRIPTION:Conference title: International Conference on Artificial Life\n Website: https://2026.alife.org/\nSource URL: https://2026.alife.org/call -for-papers/\nLocation: Waterloo\, Ontario\, Canada\nTopics: Artificial L ife & Adaptive Systems\, Complex Systems & Network Science\, Evolutionary Computation & Optimization\, Cognitive Science & Computational Cognition \nSize: L\nSubmission type: Full papers + non-archival abstracts\nConfide nce: confirmed\nLast checked date: 2026-10-08\nNotes: Historical baseline . Reviewed full papers appear in MIT Press open-access proceedings\; pres entation summaries and late-breaking abstracts are non-archival. The Apri l date was an extension of the original March 30 cutoff. Size is an edito rial estimate.\nScope: Artificial life and life-like processes in computa tional\, robotic and biological systems. Central questions concern emerge nce\, evolution\, adaptation\, embodied intelligence and cognition. Relev ant ML work studies adaptive agents\, evolutionary learning and computati onal models of living systems\; it is not a general-purpose AI conference .\nAdditional topics: Autonomous Agents & Multiagent Systems\, Control & Robotics\, Machine Learning\nScope sources (2026): https://2026.alife.org /call-for-papers/\, https://alife.org/conference/alife-2027/\nScope last checked: 2026-10-08 URL:https://2026.alife.org/call-for-papers/ END:VEVENT BEGIN:VEVENT UID:aaai-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260722T115900Z DTEND:20260722T125900Z SUMMARY:[Machine Learning][Deep Representation Learning] AAAI 2027 - Abstra ct submission deadline DESCRIPTION:Conference title: AAAI Conference on Artificial Intelligence\nW ebsite: https://aaai.org/conference/aaai/aaai-27/\nSource URL: https://aa ai.org/conference/aaai/aaai-27/\nLocation: Montreal\, Canada\nTopics: Mac hine Learning\, Deep Representation Learning\, Data Mining & Data Science \, Fairness & Responsible AI\nSize: XXL\nSubmission type: Paper-based / O penReview\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: O fficial AAAI-27 pages list the conference dates\, OpenReview timetable\, and main technical track deadlines. URL:https://aaai.org/conference/aaai/aaai-27/ END:VEVENT BEGIN:VEVENT UID:ieee-embc-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260726 DTEND;VALUE=DATE:20260731 SUMMARY:[Healthcare & Clinical AI][Signal Processing] IEEE EMBC 2026 - Conf erence (estimated) DESCRIPTION:Conference title: IEEE Engineering in Medicine and Biology Conf erence\nWebsite: https://embc.embs.org/2026/\nSource URL: https://embc.em bs.org/2026/\nLocation: Toronto\, Canada\nTopics: Healthcare & Clinical A I\, Signal Processing\, EEG/MEG & Neural Signals\, BCI & Neurotechnology\ nSize: XL\nSubmission type: Paper-based / broad applied venue\nConfidence : estimated\nLast checked date: 2026-09-14\nNotes: Official EMBC page con firms conference dates. Submission dates were already marked closed on th e official key-dates page\, so the deadline is a proxy and should be back filled when archival CFP data is available. URL:https://embc.embs.org/2026/ LOCATION:Toronto\, Canada END:VEVENT BEGIN:VEVENT UID:aaai-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260729T115900Z DTEND:20260729T125900Z SUMMARY:[Machine Learning][Deep Representation Learning] AAAI 2027 - Full p aper submission deadline DESCRIPTION:Conference title: AAAI Conference on Artificial Intelligence\nW ebsite: https://aaai.org/conference/aaai/aaai-27/\nSource URL: https://aa ai.org/conference/aaai/aaai-27/\nLocation: Montreal\, Canada\nTopics: Mac hine Learning\, Deep Representation Learning\, Data Mining & Data Science \, Fairness & Responsible AI\nSize: XXL\nSubmission type: Paper-based / O penReview\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: O fficial AAAI-27 pages list the conference dates\, OpenReview timetable\, and main technical track deadlines. URL:https://aaai.org/conference/aaai/aaai-27/ END:VEVENT BEGIN:VEVENT UID:adma-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260731T155900Z DTEND:20260731T165900Z SUMMARY:[Data Mining & Data Science][Machine Learning] ADMA 2026 - Industry and special-session paper deadline DESCRIPTION:Conference title: International Conference on Advanced Data Min ing and Applications\nWebsite: https://adma2026.github.io/\nSource URL: h ttps://adma2026.github.io/\nLocation: Hong Kong\, China\nTopics: Data Min ing & Data Science\, Machine Learning\, Time Series & Sequential Data\, E xplainability & Interpretability\nSize: M\nSubmission type: Paper-based / special sessions\nConfidence: confirmed\nLast checked date: 2026-08-20\n Notes: Official ADMA 2026 page lists Hong Kong\, Nov 13-15\, and the exte nded industry/special-session deadline. URL:https://adma2026.github.io/ END:VEVENT BEGIN:VEVENT UID:ieee-bhi-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260801T075900Z DTEND:20260801T085900Z SUMMARY:[Healthcare & Clinical AI][Data Mining & Data Science] IEEE BHI 202 6 - 1-page abstract submission DESCRIPTION:Conference title: IEEE EMBS International Conference on Biomedi cal and Health Informatics\nWebsite: https://bhi.embs.org/2026/\nSource U RL: https://bhi.embs.org/2026/contributors/papers/\nLocation: Hong Kong\, China\nTopics: Healthcare & Clinical AI\, Data Mining & Data Science\, M achine Learning\, Human-AI Interaction & Deployment\nSize: M\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-20\n Notes: Official BHI 2026 pages list conference dates\, location\, and sub mission deadlines. URL:https://bhi.embs.org/2026/contributors/papers/ END:VEVENT BEGIN:VEVENT UID:aaai-2027-deadline-supplementary@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260801T115900Z DTEND:20260801T125900Z SUMMARY:[Machine Learning][Deep Representation Learning] AAAI 2027 - Supple mentary material and code deadline DESCRIPTION:Conference title: AAAI Conference on Artificial Intelligence\nW ebsite: https://aaai.org/conference/aaai/aaai-27/\nSource URL: https://aa ai.org/conference/aaai/aaai-27/main-technical-track-call/\nLocation: Mont real\, Canada\nTopics: Machine Learning\, Deep Representation Learning\, Data Mining & Data Science\, Fairness & Responsible AI\nSize: XXL\nSubmis sion type: Paper-based / OpenReview\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official AAAI-27 pages list the conference dates \, OpenReview timetable\, and main technical track deadlines. URL:https://aaai.org/conference/aaai/aaai-27/main-technical-track-call/ END:VEVENT BEGIN:VEVENT UID:ccn-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260803 DTEND;VALUE=DATE:20260807 SUMMARY:[Computational Neuroscience][Deep Representation Learning] CCN 2026 - Conference DESCRIPTION:Conference title: Conference on Cognitive Computational Neurosc ience\nWebsite: https://2026.ccneuro.org/\nSource URL: https://2026.ccneu ro.org/\nLocation: New York\, New York\, USA\nTopics: Computational Neuro science\, Deep Representation Learning\, Neuroimaging & Brain Mapping\, M achine Learning\nSize: M\nSubmission type: Mixed: proceedings + extended abstracts\nConfidence: confirmed\nLast checked date: 2026-08-31\nNotes: O fficial CCN 2026 pages confirm New York University\, Aug 3-6\, and the tw o submission-track deadlines.\nScope: Cognitive computational neuroscienc e\, connecting experiments and models of brain computation with artificia l intelligence. Characteristic work compares biological and artificial re presentations\, models perception\, cognition and action\, studies neural connectivity and dynamics\, and uses mechanistic interpretability to und erstand neural-network models. The aim is understanding computation and b ehavior across brains and AI systems.\nAdditional topics: Cognitive Scien ce & Computational Cognition\, Explainability & Interpretability\nScope s ources (2027): https://2027.ccneuro.org/\nScope last checked: 2026-10-07 URL:https://2026.ccneuro.org/ LOCATION:New York\, New York\, USA END:VEVENT BEGIN:VEVENT UID:emnlp-2026-deadline-commitment@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260803T115900Z DTEND:20260803T125900Z SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] EMNLP 2026 - Commitment of ARR-reviewed papers DESCRIPTION:Conference title: Conference on Empirical Methods in Natural La nguage Processing\nWebsite: https://2026.emnlp.org/\nSource URL: https:// 2026.emnlp.org/calls/main_conference_papers/\nLocation: Budapest\, Hungar y\nTopics: Natural Language Processing & LLMs\, Deep Representation Learn ing\, LLM Agents & Tool Use\, Information Retrieval & Search\nSize: XXL\n Submission type: Paper-based\nConfidence: confirmed\nLast checked date: 2 026-10-07\nNotes: ARR fresh-paper submissions are closed. Commitment is o nly for reviewed papers and is not a new-paper route. Full conference win dow includes workshops. Size is an editorial estimate.\nScope: Empirical methods for language modeling and NLP\, including generation\, informatio n extraction\, multilinguality\, dialogue\, retrieval\, and model evaluat ion. Interpretability\, bias\, and safety matter within language systems. Curated coverage emphasizes language methods and evidence rather than ev ery application listed in the CFP.\nAdditional topics: Explainability & I nterpretability\, Fairness & Responsible AI\, Robustness & Safety\, Human -AI Interaction & Deployment\nScope sources (2026): https://2026.emnlp.or g/calls/main_conference_papers/\nScope last checked: 2026-10-07 URL:https://2026.emnlp.org/calls/main_conference_papers/ END:VEVENT BEGIN:VEVENT UID:eacl-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260804T115900Z DTEND:20260804T125900Z SUMMARY:[Natural Language Processing & LLMs][Machine Learning] EACL 2027 - ARR long and short paper submission deadline DESCRIPTION:Conference title: Conference of the European Chapter of the Ass ociation for Computational Linguistics\nWebsite: https://2027.eacl.org/\n Source URL: https://2027.eacl.org/calls/papers/\nLocation: Athens\, Greec e\nTopics: Natural Language Processing & LLMs\, Machine Learning\, Deep R epresentation Learning\, Human-AI Interaction & Deployment\nSize: XL\nSub mission type: Paper-based / ACL Rolling Review\nConfidence: confirmed\nLa st checked date: 2026-08-31\nNotes: Official EACL 2027 pages confirm the hybrid Athens meeting\, Mar 9-14\, and the ARR Aug 3 submission and Oct 1 1 commitment deadlines.\nScope: Computational linguistics and natural lan guage processing\, including language modeling\, multilingual processing\ , translation\, dialogue\, information extraction\, semantics\, and lingu istic analysis. Human-centered evaluation\, interpretability\, and bias a re relevant within language research. The reviewed 2027 theme strengthens connections to psycholinguistics and cognitive modeling\; peripheral app lication domains are not extra tags.\nAdditional topics: Explainability & Interpretability\, Fairness & Responsible AI\, Cognitive Science & Compu tational Cognition\nScope sources (2027): https://2027.eacl.org/calls/pap ers/\nScope last checked: 2026-10-07 URL:https://2027.eacl.org/calls/papers/ END:VEVENT BEGIN:VEVENT UID:log-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260806T115900Z DTEND:20260806T125900Z SUMMARY:[Machine Learning][Deep Representation Learning] LoG 2026 - Abstrac t registration deadline (both tracks) DESCRIPTION:Conference title: Learning on Graphs Conference\nWebsite: https ://logconference.org/\nSource URL: https://logconference.org/cfp/\nLocati on: Boston\, Massachusetts\, USA\nTopics: Machine Learning\, Deep Represe ntation Learning\, Graphs & Graph Learning\, Learning Theory & Statistica l Foundations\nSize: M\nSubmission type: Paper-based / non-archival exten ded abstracts\nConfidence: confirmed\nLast checked date: 2026-10-07\nNote s: Fifth annual edition\, in person at Northeastern University. Extended Aug 5/7 deadlines replace the struck-through July 29/Aug 1 dates. Proceed ings papers and non-archival extended abstracts share the registration an d final submission cutoffs\, represented as one route. The TMLR presentat ion track requires an already published paper\, so it is not a new-paper opportunity. LoG is distinct from LOD/AIS. Size M is an editorial estimat e.\nScope: Learning on graphs and geometry: graph neural networks\, equiv ariant models\, graph kernels\, geometric and graph generative models\, a nd statistical theory for structured data. Graph signal processing\, caus al graph models\, robustness\, and scalable graph-learning infrastructure are meaningful extensions. A graph or geometric contribution should rema in central\, even in an application such as language or molecular modelin g.\nAdditional topics: Complex Systems & Network Science\, Probabilistic\ , Causal & Uncertainty ML\, Signal Processing\, Robustness & Safety\, ML Systems & Infrastructure\nScope sources (2026): https://logconference.org /cfp/\nScope last checked: 2026-10-07 URL:https://logconference.org/cfp/ END:VEVENT BEGIN:VEVENT UID:acm-mm-2026-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260806 DTEND;VALUE=DATE:20260807 SUMMARY:[Multimedia Learning & Retrieval][Computer Vision & Pattern Recogni tion] ACM MM 2026 - Main-track camera-ready deadline (cutoff time unannou nced) DESCRIPTION:Conference title: ACM International Conference on Multimedia\nW ebsite: https://2026.acmmm.org/\nSource URL: https://2026.acmmm.org/site/ important-dates.html\nLocation: Rio de Janeiro\, Brazil\nTopics: Multimed ia Learning & Retrieval\, Computer Vision & Pattern Recognition\, Deep Re presentation Learning\, Signal Processing\nSize: XL\nSubmission type: Pap er-based / multimedia research\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official 2026 pages confirm Rio and deadline days. Th e retrieved important-dates page has no cutoff hour or timezone\, so the stored AoE timestamps are provisional. Main\, BNI\, and dataset tracks sh are March/April deadlines\; workshop papers have their own route. XL is a n editorial estimate.\nScope: Multimedia understanding\, learning\, gener ation\, and retrieval across image\, video\, audio\, language\, and other modalities. Characteristic work includes multimodal fusion\, generative and foundation models\, scalable indexing and search\, cross-modal alignm ent\, and human-centered multimedia experiences. The 2026 steering-commit tee scope also emphasizes explainability. Healthcare\, education\, and en tertainment are applications\, not blanket topical identities.\nAdditiona l topics: Machine Learning\, Natural Language Processing & LLMs\, Human-A I Interaction & Deployment\, Data Mining & Data Science\, Explainability & Interpretability\nScope sources (2026): https://2026.acmmm.org/site/top ics.html\, https://2026.acmmm.org/\nScope last checked: 2026-10-07\nOffic ial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://2026.acmmm.org/site/important-dates.html END:VEVENT BEGIN:VEVENT UID:iswc-2026-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260807T115900Z DTEND:20260807T125900Z SUMMARY:[Knowledge Representation & Reasoning][Graphs & Graph Learning] ISW C 2026 - Research/resource/in-use camera-ready deadline DESCRIPTION:Conference title: International Semantic Web Conference\nWebsit e: https://iswc2026.semanticweb.org/\nSource URL: https://iswc2026.semant icweb.org/importantdates\nLocation: Bari\, Italy\nTopics: Knowledge Repre sentation & Reasoning\, Graphs & Graph Learning\, Data Mining & Data Scie nce\, Information Retrieval & Search\nSize: M\nSubmission type: Paper-bas ed\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Semantic Web ISWC\, not IEEE Symposium on Wearable Computers. Official JavaScript -rendered date table specifies 23:59 AoE\; main sessions October 27-29 af ter workshops/tutorials. Size is an editorial estimate.\nScope: Semantic Web and linked-data research: ontologies\, knowledge graphs\, representat ion and reasoning\, semantic integration\, querying\, and knowledge-suppo rted AI. Graph learning is relevant through semantic data and knowledge s tructures\; this is not the IEEE wearable-computing symposium with the sa me acronym.\nAdditional topics: Machine Learning\, Explainability & Inter pretability\nScope sources (2026): https://iswc2026.semanticweb.org/calls /research\nScope last checked: 2026-10-07 URL:https://iswc2026.semanticweb.org/importantdates END:VEVENT BEGIN:VEVENT UID:log-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260808T115900Z DTEND:20260808T125900Z SUMMARY:[Machine Learning][Deep Representation Learning] LoG 2026 - Paper / extended abstract submission deadline DESCRIPTION:Conference title: Learning on Graphs Conference\nWebsite: https ://logconference.org/\nSource URL: https://logconference.org/cfp/\nLocati on: Boston\, Massachusetts\, USA\nTopics: Machine Learning\, Deep Represe ntation Learning\, Graphs & Graph Learning\, Learning Theory & Statistica l Foundations\nSize: M\nSubmission type: Paper-based / non-archival exten ded abstracts\nConfidence: confirmed\nLast checked date: 2026-10-07\nNote s: Fifth annual edition\, in person at Northeastern University. Extended Aug 5/7 deadlines replace the struck-through July 29/Aug 1 dates. Proceed ings papers and non-archival extended abstracts share the registration an d final submission cutoffs\, represented as one route. The TMLR presentat ion track requires an already published paper\, so it is not a new-paper opportunity. LoG is distinct from LOD/AIS. Size M is an editorial estimat e.\nScope: Learning on graphs and geometry: graph neural networks\, equiv ariant models\, graph kernels\, geometric and graph generative models\, a nd statistical theory for structured data. Graph signal processing\, caus al graph models\, robustness\, and scalable graph-learning infrastructure are meaningful extensions. A graph or geometric contribution should rema in central\, even in an application such as language or molecular modelin g.\nAdditional topics: Complex Systems & Network Science\, Probabilistic\ , Causal & Uncertainty ML\, Signal Processing\, Robustness & Safety\, ML Systems & Infrastructure\nScope sources (2026): https://logconference.org /cfp/\nScope last checked: 2026-10-07 URL:https://logconference.org/cfp/ END:VEVENT BEGIN:VEVENT UID:kdd-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260809 DTEND;VALUE=DATE:20260814 SUMMARY:[Data Mining & Data Science][Machine Learning] KDD 2026 - Conferenc e DESCRIPTION:Conference title: ACM SIGKDD Conference on Knowledge Discovery and Data Mining\nWebsite: https://kdd2026.kdd.org/\nSource URL: https://w ww.kdd.org/conferences\nLocation: Jeju\, Korea\nTopics: Data Mining & Dat a Science\, Machine Learning\, Time Series & Sequential Data\, Federated & Distributed Learning\nSize: XL\nSubmission type: Paper-based / mixed tr acks\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Offici al SIGKDD and KDD 2026 pages list conference dates and research-track Cyc le 2 deadlines.\nScope: Knowledge discovery and data science\, centered o n extracting useful structure from large\, heterogeneous data. Characteri stic areas include clustering\, structured and relational learning\, grap h and text mining\, recommender systems\, scalable data analysis\, and re sponsible data use. Generative AI is relevant when it advances data scien ce\, not simply because a paper uses an LLM.\nAdditional topics: Deep Rep resentation Learning\, Natural Language Processing & LLMs\, Explainabilit y & Interpretability\, Privacy-preserving ML\, ML Systems & Infrastructur e\nScope sources (2027): https://kdd2027.kdd.org/research-track-call-for- papers/\nScope last checked: 2026-10-07 URL:https://www.kdd.org/conferences LOCATION:Jeju\, Korea END:VEVENT BEGIN:VEVENT UID:ieee-ssci-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260811T115900Z DTEND:20260811T125900Z SUMMARY:[Machine Learning][Deep Representation Learning] IEEE SSCI 2027 - F ull and short paper submission deadline DESCRIPTION:Conference title: IEEE Symposium Series on Computational Intell igence\nWebsite: https://ssci2027generalchairs.github.io/ssci-2027/\nSour ce URL: https://ssci2027generalchairs.github.io/ssci-2027/submissions/ins tructions/\nLocation: Gold Coast\, Queensland\, Australia\nTopics: Machin e Learning\, Deep Representation Learning\, Reinforcement Learning\, Cont rol & Robotics\nSize: L\nSubmission type: Paper-based / symposium series\ nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official IE EE SSCI 2027 materials list the Gold Coast meeting\, Feb 14-17\, and the Aug 10 full/short-paper deadline. URL:https://ssci2027generalchairs.github.io/ssci-2027/submissions/instructi ons/ END:VEVENT BEGIN:VEVENT UID:mlhc-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260812 DTEND;VALUE=DATE:20260815 SUMMARY:[Healthcare & Clinical AI][Machine Learning] MLHC 2026 - Conference DESCRIPTION:Conference title: Machine Learning for Healthcare Conference\nW ebsite: https://mlhc.org/\nSource URL: https://mlhc.org/\nLocation: Balti more\, Maryland\, USA\nTopics: Healthcare & Clinical AI\, Machine Learnin g\, Time Series & Sequential Data\, Explainability & Interpretability\nSi ze: M\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official MLHC page lists conference dates\, loca tion\, and full submission deadline. URL:https://mlhc.org/ LOCATION:Baltimore\, Maryland\, USA END:VEVENT BEGIN:VEVENT UID:ijcai-ecai-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260815 DTEND;VALUE=DATE:20260822 SUMMARY:[Machine Learning][Deep Representation Learning] IJCAI-ECAI 2026 - Conference DESCRIPTION:Conference title: International Joint Conference on Artificial Intelligence and European Conference on Artificial Intelligence\nWebsite: https://2026.ijcai.org/\nSource URL: https://2026.ijcai.org/\nLocation: Bremen\, Germany\nTopics: Machine Learning\, Deep Representation Learning \, Learning Theory & Statistical Foundations\, Fairness & Responsible AI\ nSize: XL\nSubmission type: Paper-based\nConfidence: confirmed\nLast chec ked date: 2026-08-31\nNotes: Official IJCAI-ECAI 2026 pages confirm Breme n\, Aug 15-21\, and the Jan 12 abstract and Jan 19 full-paper deadlines. URL:https://2026.ijcai.org/ LOCATION:Bremen\, Germany END:VEVENT BEGIN:VEVENT UID:nolta-2026-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260815 DTEND;VALUE=DATE:20260816 SUMMARY:[Nonlinear Dynamics & Chaos][Complex Systems & Network Science] NOL TA 2026 - Camera-ready deadline (cutoff time unannounced) DESCRIPTION:Conference title: International Symposium on Nonlinear Theory a nd Its Applications\nWebsite: https://nolta2026.org/\nSource URL: https:/ /nolta2026.org/\nLocation: Grenoble\, France\nTopics: Nonlinear Dynamics & Chaos\, Complex Systems & Network Science\, Deep Representation Learnin g\, Control & Robotics\nSize: M\nSubmission type: Paper-based\nConfidence : confirmed\nLast checked date: 2026-10-06\nNotes: Annual IEICE NOLTA sym posium\; official final extensions supersede older April/July dates. Proc eedings papers\, with neural networks and deep AI explicitly in scope. De adline hours use estimated end-of-day AoE. Size is an editorial category. \nScope: Nonlinear theory and its applications\, centered on chaos\, bifu rcations\, oscillations\, synchronization\, nonlinear circuits\, and comp lex networks. Neural computation\, evolutionary algorithms\, control\, an d signal processing connect to this nonlinear-systems focus. Individual a pplication examples are not taken as additional specialist identities.\nA dditional topics: Signal Processing\, Evolutionary Computation & Optimiza tion\nScope sources (2026): https://nolta2026.org/\nScope last checked: 2 026-10-07\nOfficial deadline day\; exact cutoff hour/timezone is unannoun ced. Verify the organizer's submission portal. URL:https://nolta2026.org/ END:VEVENT BEGIN:VEVENT UID:alife-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260817 DTEND;VALUE=DATE:20260822 SUMMARY:[Artificial Life & Adaptive Systems][Complex Systems & Network Scie nce] ALIFE 2026 - Conference DESCRIPTION:Conference title: International Conference on Artificial Life\n Website: https://2026.alife.org/\nSource URL: https://2026.alife.org/\nLo cation: Waterloo\, Ontario\, Canada\nTopics: Artificial Life & Adaptive S ystems\, Complex Systems & Network Science\, Evolutionary Computation & O ptimization\, Cognitive Science & Computational Cognition\nSize: L\nSubmi ssion type: Full papers + non-archival abstracts\nConfidence: confirmed\n Last checked date: 2026-10-08\nNotes: Historical baseline. Reviewed full papers appear in MIT Press open-access proceedings\; presentation summari es and late-breaking abstracts are non-archival. The April date was an ex tension of the original March 30 cutoff. Size is an editorial estimate.\n Scope: Artificial life and life-like processes in computational\, robotic and biological systems. Central questions concern emergence\, evolution\ , adaptation\, embodied intelligence and cognition. Relevant ML work stud ies adaptive agents\, evolutionary learning and computational models of l iving systems\; it is not a general-purpose AI conference.\nAdditional to pics: Autonomous Agents & Multiagent Systems\, Control & Robotics\, Machi ne Learning\nScope sources (2026): https://2026.alife.org/call-for-papers /\, https://alife.org/conference/alife-2027/\nScope last checked: 2026-10 -08 URL:https://2026.alife.org/ LOCATION:Waterloo\, Ontario\, Canada END:VEVENT BEGIN:VEVENT UID:icpr-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260817 DTEND;VALUE=DATE:20260823 SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] ICPR 2026 - Conference DESCRIPTION:Conference title: International Conference on Pattern Recogniti on\nWebsite: https://icpr2026.org/\nSource URL: https://icpr2026.org/\nLo cation: Lyon\, France\nTopics: Computer Vision & Pattern Recognition\, Ma chine Learning\, Deep Representation Learning\, Biomedical Imaging\nSize: XL\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked da te: 2026-09-14\nNotes: Official ICPR 2026 CFP confirms Lyon\, Aug 17-22\, and the Dec 20\, 2025 main-paper submission deadline. URL:https://icpr2026.org/ LOCATION:Lyon\, France END:VEVENT BEGIN:VEVENT UID:uai-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260817 DTEND;VALUE=DATE:20260822 SUMMARY:[Probabilistic\, Causal & Uncertainty ML][Machine Learning] UAI 202 6 - Conference DESCRIPTION:Conference title: Conference on Uncertainty in Artificial Intel ligence\nWebsite: https://www.auai.org/uai2026/\nSource URL: https://www. auai.org/uai2026/\nLocation: Amsterdam\, Netherlands\nTopics: Probabilist ic\, Causal & Uncertainty ML\, Machine Learning\, Learning Theory & Stati stical Foundations\nSize: L\nSubmission type: Paper-based\nConfidence: co nfirmed\nLast checked date: 2026-08-20\nNotes: Official UAI 2026 pages li st tutorials\, main conference\, workshops\, and paper submission deadlin e.\nScope: Learning and reasoning under uncertainty\, centered on probabi listic and Bayesian modeling\, graphical models\, causal inference\, appr oximate inference\, and decision theory. Includes Monte Carlo and variati onal methods\, uncertainty quantification\, sequential models\, and princ ipled analysis of learning algorithms. Uncertainty is the organizing them e\, not just another application of general-purpose AI.\nAdditional topic s: Deep Representation Learning\, Reinforcement Learning\, Time Series & Sequential Data\, Explainability & Interpretability\, Robustness & Safety \nScope sources (2026): https://www.auai.org/uai2026/subject_areas\, http s://www.auai.org/uai2026/call_for_papers\nScope last checked: 2026-10-07 URL:https://www.auai.org/uai2026/ LOCATION:Amsterdam\, Netherlands END:VEVENT BEGIN:VEVENT UID:aaltd-2026-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260818T065900Z DTEND:20260818T075900Z SUMMARY:[Time Series & Sequential Data][Data Mining & Data Science] AALTD 2 026 - Camera-ready deadline DESCRIPTION:Conference title: Workshop on Advanced Analytics and Learning o n Temporal Data\nWebsite: https://ecml-aaltd.github.io/aaltd2026/\nSource URL: https://ecml-aaltd.github.io/aaltd2026/dates.html\nLocation: Naples \, Italy\nTopics: Time Series & Sequential Data\, Data Mining & Data Scie nce\, Machine Learning\, Explainability & Interpretability\nSize: S\nSubm ission type: Workshop / paper-based\nConfidence: confirmed\nLast checked date: 2026-09-14\nNotes: Official AALTD 2026 pages confirm the Sep 11 Nap les workshop and its Jun 5 abstract\, Jun 12 paper\, and Aug 17 camera-re ady milestones (Pacific Time).\nScope: Analytics and learning specificall y for temporal data: time-series classification\, clustering\, forecastin g\, segmentation\, anomaly detection\, temporal representations\, and met ric or kernel learning. Includes temporal foundation models\, data stream s\, and explainable temporal analysis. Climate\, health\, and energy are examples of applications rather than separate defining topic assignments. \nAdditional topics: Deep Representation Learning\nScope sources (2026): https://ecml-aaltd.github.io/aaltd2026/\nScope last checked: 2026-10-07 URL:https://ecml-aaltd.github.io/aaltd2026/dates.html END:VEVENT BEGIN:VEVENT UID:wsdm-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260818T115900Z DTEND:20260818T125900Z SUMMARY:[Data Mining & Data Science][Machine Learning] WSDM 2027 - Abstract submission deadline DESCRIPTION:Conference title: ACM International Conference on Web Search an d Data Mining\nWebsite: https://www.wsdm-conference.org/2027/\nSource URL : https://www.wsdm-conference.org/2027/cffp.html\nLocation: Hong Kong\, C hina\nTopics: Data Mining & Data Science\, Machine Learning\, Fairness & Responsible AI\, Human-AI Interaction & Deployment\nSize: L\nSubmission t ype: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nN otes: Official WSDM 2027 pages list Hong Kong\, Feb 15-19\, and the abstr act/paper deadlines.\nScope: Web search\, ranking\, recommendation and mi ning of web and social data. Characteristic extensions include large-scal e graph analysis\, conversational retrieval\, foundation-model and agenti c web systems\, and fairness and privacy in information access. The broad emerging-applications inventory is not treated as evidence that WSDM is a specialist healthcare or climate venue.\nAdditional topics: Information Retrieval & Search\, Recommender Systems\, Graphs & Graph Learning\, LLM Agents & Tool Use\, Natural Language Processing & LLMs\nScope sources (2 027): https://www.wsdm-conference.org/2027/cffp.html\nScope last checked: 2026-10-07 URL:https://www.wsdm-conference.org/2027/cffp.html END:VEVENT BEGIN:VEVENT UID:lod-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260818T225900Z DTEND:20260818T235900Z SUMMARY:[Machine Learning][Data Mining & Data Science] AIS 2026 (formerly L OD) - Second-batch paper submission deadline DESCRIPTION:Conference title: Artificial Intelligence Symposium (formerly L OD)\nWebsite: https://ais2026.icas.events/\nSource URL: https://ais2026.i cas.events/\nLocation: Castiglione della Pescaia\, Italy\nTopics: Machine Learning\, Data Mining & Data Science\, Learning Theory & Statistical Fo undations\, Time Series & Sequential Data\nSize: M\nSubmission type: Pape r-based / Springer proceedings\nConfidence: confirmed\nLast checked date: 2026-10-06\nNotes: The organizer says LOD was renamed AIS in 2026 and co nfirms Sep 21-24 in Tuscany. Its page lists a Jun 23 first batch and an e xtended Aug 18 second-batch countdown. The prior lod-2026 ID is retained for stable calendar subscriptions. URL:https://ais2026.icas.events/ END:VEVENT BEGIN:VEVENT UID:icdm-2026-deadline-workshop-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260821T115900Z DTEND:20260821T125900Z SUMMARY:[Data Mining & Data Science][Time Series & Sequential Data] ICDM 20 26 - Workshop paper submission DESCRIPTION:Conference title: IEEE International Conference on Data Mining\ nWebsite: https://icdm2026.neu.edu.cn/\nSource URL: https://icdm2026.neu. edu.cn/\nLocation: Shenyang\, China\nTopics: Data Mining & Data Science\, Time Series & Sequential Data\, Machine Learning\nSize: L\nSubmission ty pe: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nNo tes: Official ICDM 2026 page lists conference dates\, location\, and main conference deadline. URL:https://icdm2026.neu.edu.cn/ END:VEVENT BEGIN:VEVENT UID:ieee-bigdata-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260822T065900Z DTEND:20260822T075900Z SUMMARY:[Data Mining & Data Science][Machine Learning] IEEE BigData 2026 - Full paper submission deadline DESCRIPTION:Conference title: IEEE International Conference on Big Data\nWe bsite: https://bigdataieee.org/BigData2026/\nSource URL: https://bigdatai eee.org/BigData2026/important-dates/\nLocation: Phoenix\, Arizona\, USA\n Topics: Data Mining & Data Science\, Machine Learning\, Time Series & Seq uential Data\, Federated & Distributed Learning\nSize: L\nSubmission type : Paper-based / mixed tracks\nConfidence: confirmed\nLast checked date: 2 026-09-14\nNotes: Official IEEE BigData 2026 CFP confirms Phoenix\, Dec 1 4-17\, the Aug 21 full-paper deadline\, and the Nov 14 camera-ready deadl ine. URL:https://bigdataieee.org/BigData2026/important-dates/ END:VEVENT BEGIN:VEVENT UID:wacv-2027-deadline-late-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260822T115900Z DTEND:20260822T125900Z SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] WACV 2027 - Round 2 new-paper enrollment deadline DESCRIPTION:Conference title: IEEE/CVF Winter Conference on Applications of Computer Vision\nWebsite: https://wacv.thecvf.com/Conferences/2027\nSour ce URL: https://wacv.thecvf.com/Conferences/2027/CallForPapers\nLocation: Lake Buena Vista\, Florida\, USA\nTopics: Computer Vision & Pattern Reco gnition\, Machine Learning\, Deep Representation Learning\nSize: XL\nSubm ission type: Paper-based / two independent submission rounds\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official CFP confirms s eparate enrollment gates for both new-paper rounds at 23:59 AoE. Both are already closed despite the future camera-ready deadline. Main conference is January 6-8 at Disney Springs\; workshops run January 4-5. XL is an e ditorial estimate\, not an acceptance-rate proxy.\nScope: Applied compute r vision and visual learning\, with an emphasis on practical recognition\ , detection\, segmentation\, image/video analysis\, 3D perception\, and d eployable visual systems. Human analysis and multimodal visual methods ar e established areas. Compared with the flagship trio\, WACV particularly welcomes meaningful application-driven contributions supported by sound e valuation\; its two submission rounds are routes\, not different fields.\ nAdditional topics: Signal Processing\, Biometrics & Human Sensing\, Mult imedia Learning & Retrieval\nScope sources (2027): https://wacv.thecvf.co m/Conferences/2027/CallForPapers\nScope last checked: 2026-10-07 URL:https://wacv.thecvf.com/Conferences/2027/CallForPapers END:VEVENT BEGIN:VEVENT UID:biomag-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260823 DTEND;VALUE=DATE:20260826 SUMMARY:[EEG/MEG & Neural Signals][Neuroimaging & Brain Mapping] BIOMAG 202 6 - Conference (estimated) DESCRIPTION:Conference title: International Conference on Biomagnetism\nWeb site: https://mm.scimeeting.cn/en/web/index/31426\nSource URL: https://mm .scimeeting.cn/en/web/index/31426\nLocation: Beijing\, China\nTopics: EEG /MEG & Neural Signals\, Neuroimaging & Brain Mapping\, Computational Neur oscience\, Signal Processing\nSize: M\nSubmission type: Abstract-based / specialist venue\nConfidence: estimated\nLast checked date: 2026-09-14\nN otes: Official BIOMAG 2026 page confirms Beijing and Aug 23-25\, 2026. Ab stract deadline remains an estimate until the submission page is rechecke d. URL:https://mm.scimeeting.cn/en/web/index/31426 LOCATION:Beijing\, China END:VEVENT BEGIN:VEVENT UID:ssspr-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260824 DTEND;VALUE=DATE:20260827 SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] S+SSPR 20 26 - Conference DESCRIPTION:Conference title: Joint IAPR International Workshops on Statist ical Techniques in Pattern Recognition and Structural and Syntactic Patte rn Recognition\nWebsite: https://ssspr2026.inf.unibe.ch/\nSource URL: htt ps://ssspr2026.inf.unibe.ch/\nLocation: Bern\, Switzerland\nTopics: Compu ter Vision & Pattern Recognition\, Machine Learning\, Learning Theory & S tatistical Foundations\nSize: M\nSubmission type: Paper-based / workshop- style conference\nConfidence: confirmed\nLast checked date: 2026-09-14\nN otes: Official S+SSPR 2026 pages confirm Bern\, Aug 24-26\, the final May 25 paper deadline\, and the Jul 15 camera-ready deadline. URL:https://ssspr2026.inf.unibe.ch/ LOCATION:Bern\, Switzerland END:VEVENT BEGIN:VEVENT UID:wsdm-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260825T115900Z DTEND:20260825T125900Z SUMMARY:[Data Mining & Data Science][Machine Learning] WSDM 2027 - Paper su bmission deadline DESCRIPTION:Conference title: ACM International Conference on Web Search an d Data Mining\nWebsite: https://www.wsdm-conference.org/2027/\nSource URL : https://www.wsdm-conference.org/2027/cffp.html\nLocation: Hong Kong\, C hina\nTopics: Data Mining & Data Science\, Machine Learning\, Fairness & Responsible AI\, Human-AI Interaction & Deployment\nSize: L\nSubmission t ype: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nN otes: Official WSDM 2027 pages list Hong Kong\, Feb 15-19\, and the abstr act/paper deadlines.\nScope: Web search\, ranking\, recommendation and mi ning of web and social data. Characteristic extensions include large-scal e graph analysis\, conversational retrieval\, foundation-model and agenti c web systems\, and fairness and privacy in information access. The broad emerging-applications inventory is not treated as evidence that WSDM is a specialist healthcare or climate venue.\nAdditional topics: Information Retrieval & Search\, Recommender Systems\, Graphs & Graph Learning\, LLM Agents & Tool Use\, Natural Language Processing & LLMs\nScope sources (2 027): https://www.wsdm-conference.org/2027/cffp.html\nScope last checked: 2026-10-07 URL:https://www.wsdm-conference.org/2027/cffp.html END:VEVENT BEGIN:VEVENT UID:ijcnlp-2026-deadline-commitment@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260826T115900Z DTEND:20260826T125900Z SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] IJCNLP 2026 - Second-round commitment of reviewed papers DESCRIPTION:Conference title: Asia-Pacific ACL and International Joint Conf erence on Natural Language Processing\nWebsite: https://2026.aaclnet.org/ \nSource URL: https://2026.aaclnet.org/calls/main_conference_papers/\nLoc ation: Hengqin\, China\nTopics: Natural Language Processing & LLMs\, Deep Representation Learning\, LLM Agents & Tool Use\, Information Retrieval & Search\nSize: L\nSubmission type: Paper-based\nConfidence: confirmed\nL ast checked date: 2026-10-07\nNotes: Joint AACL-IJCNLP 2026 is one editio n under the IJCNLP series\, not two conferences. ARR submissions and both commitment rounds are closed. Joint-series recurrence is irregular\; do not automatically invent an annual next edition. Size is an editorial est imate.\nScope: Computational linguistics and natural-language technologie s in the Asia-Pacific community\, including multilingual and low-resource NLP\, language modeling\, generation\, dialogue\, structured prediction\ , and evaluation. The 2026 edition is jointly organized as AACL-IJCNLP. A lias identity is preserved without inheriting the separate ACL conference ranking.\nAdditional topics: Cognitive Science & Computational Cognition \, Explainability & Interpretability\, Fairness & Responsible AI\, Human- AI Interaction & Deployment\nScope sources (2026): https://2026.aaclnet.o rg/calls/main_conference_papers/\nScope last checked: 2026-10-07 URL:https://2026.aaclnet.org/calls/main_conference_papers/ END:VEVENT BEGIN:VEVENT UID:3dv-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260829T115900Z DTEND:20260829T125900Z SUMMARY:[Computer Vision & Pattern Recognition][Computer Graphics & Visuali zation] 3DV 2027 - Abstract registration deadline DESCRIPTION:Conference title: International Conference on 3D Vision\nWebsit e: https://3dvconf.github.io/2027/\nSource URL: https://3dvconf.github.io /2027/\nLocation: Thessaloniki\, Greece\nTopics: Computer Vision & Patter n Recognition\, Computer Graphics & Visualization\, Signal Processing\nSi ze: M\nSubmission type: Paper-based / OpenReview\nConfidence: confirmed\n Last checked date: 2026-10-07\nNotes: The official site confirms Thessalo niki and identical abstract/paper cutoffs at 23:59 AoE. Its archive docum ents recent annual editions. CCF has a direct 3DV entry\, but no direct I CORE2026 rank was found. M is an editorial size estimate\, not measured a ttendance.\nScope: Three-dimensional computer vision and graphics\, espec ially sensing\, geometric modeling and representations\, reconstruction\, analysis\, rendering\, and visualization. It is a focused venue for reco vering and understanding 3D structure rather than all of computer vision. Papers combine geometric\, imaging\, and computational methods\; unrelat ed applications and every possible ML technique are not added as separate scope tags.\nAdditional topics: \nScope sources (2027): https://3dvconf. github.io/2027/\, https://3dvconf.github.io/2027/author-guidelines/\nScop e last checked: 2026-10-07 URL:https://3dvconf.github.io/2027/ END:VEVENT BEGIN:VEVENT UID:3dv-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260829T115900Z DTEND:20260829T125900Z SUMMARY:[Computer Vision & Pattern Recognition][Computer Graphics & Visuali zation] 3DV 2027 - Paper submission deadline DESCRIPTION:Conference title: International Conference on 3D Vision\nWebsit e: https://3dvconf.github.io/2027/\nSource URL: https://3dvconf.github.io /2027/\nLocation: Thessaloniki\, Greece\nTopics: Computer Vision & Patter n Recognition\, Computer Graphics & Visualization\, Signal Processing\nSi ze: M\nSubmission type: Paper-based / OpenReview\nConfidence: confirmed\n Last checked date: 2026-10-07\nNotes: The official site confirms Thessalo niki and identical abstract/paper cutoffs at 23:59 AoE. Its archive docum ents recent annual editions. CCF has a direct 3DV entry\, but no direct I CORE2026 rank was found. M is an editorial size estimate\, not measured a ttendance.\nScope: Three-dimensional computer vision and graphics\, espec ially sensing\, geometric modeling and representations\, reconstruction\, analysis\, rendering\, and visualization. It is a focused venue for reco vering and understanding 3D structure rather than all of computer vision. Papers combine geometric\, imaging\, and computational methods\; unrelat ed applications and every possible ML technique are not added as separate scope tags.\nAdditional topics: \nScope sources (2027): https://3dvconf. github.io/2027/\, https://3dvconf.github.io/2027/author-guidelines/\nScop e last checked: 2026-10-07 URL:https://3dvconf.github.io/2027/ END:VEVENT BEGIN:VEVENT UID:bmvc-2026-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260829T115900Z DTEND:20260829T125900Z SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] BMVC 2026 - Camera-ready deadline DESCRIPTION:Conference title: British Machine Vision Conference\nWebsite: h ttps://bmvc2026.bmva.org/\nSource URL: https://bmvc2026.bmva.org/dates/\n Location: Lancaster\, United Kingdom\nTopics: Computer Vision & Pattern R ecognition\, Machine Learning\, Deep Representation Learning\nSize: L\nSu bmission type: Paper-based / BMVA proceedings\nConfidence: confirmed\nLas t checked date: 2026-10-07\nNotes: Official BMVA pages confirm Lancaster and 23:59 AoE deadlines. The October poster/video upload is for accepted papers\, not a fresh poster submission. L is an editorial size estimate.\ nScope: Computer vision\, image processing\, and visual pattern recogniti on\, including visual learning\, recognition and segmentation\, reconstru ction\, motion and video analysis\, and evaluation of vision methods. The single-track BMVA conference combines methodological and applied vision research. It is an established broad vision venue\, not a specialist biom edical-imaging meeting.\nAdditional topics: Signal Processing\nScope sour ces (2026): https://bmvc2026.bmva.org/calls/call-for-papers/\nScope last checked: 2026-10-07 URL:https://bmvc2026.bmva.org/dates/ END:VEVENT BEGIN:VEVENT UID:wacv-2027-deadline-regular-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260829T115900Z DTEND:20260829T125900Z SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] WACV 2027 - Round 2 paper submission deadline DESCRIPTION:Conference title: IEEE/CVF Winter Conference on Applications of Computer Vision\nWebsite: https://wacv.thecvf.com/Conferences/2027\nSour ce URL: https://wacv.thecvf.com/Conferences/2027/CallForPapers\nLocation: Lake Buena Vista\, Florida\, USA\nTopics: Computer Vision & Pattern Reco gnition\, Machine Learning\, Deep Representation Learning\nSize: XL\nSubm ission type: Paper-based / two independent submission rounds\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official CFP confirms s eparate enrollment gates for both new-paper rounds at 23:59 AoE. Both are already closed despite the future camera-ready deadline. Main conference is January 6-8 at Disney Springs\; workshops run January 4-5. XL is an e ditorial estimate\, not an acceptance-rate proxy.\nScope: Applied compute r vision and visual learning\, with an emphasis on practical recognition\ , detection\, segmentation\, image/video analysis\, 3D perception\, and d eployable visual systems. Human analysis and multimodal visual methods ar e established areas. Compared with the flagship trio\, WACV particularly welcomes meaningful application-driven contributions supported by sound e valuation\; its two submission rounds are routes\, not different fields.\ nAdditional topics: Signal Processing\, Biometrics & Human Sensing\, Mult imedia Learning & Retrieval\nScope sources (2027): https://wacv.thecvf.co m/Conferences/2027/CallForPapers\nScope last checked: 2026-10-07 URL:https://wacv.thecvf.com/Conferences/2027/CallForPapers END:VEVENT BEGIN:VEVENT UID:eusipco-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260831 DTEND;VALUE=DATE:20260905 SUMMARY:[Signal Processing][Machine Learning] EUSIPCO 2026 - Conference DESCRIPTION:Conference title: European Signal Processing Conference\nWebsit e: https://eusipco2026.org/\nSource URL: https://eusipco2026.org/\nLocati on: Bruges\, Belgium\nTopics: Signal Processing\, Machine Learning\, Time Series & Sequential Data\, Computer Vision & Pattern Recognition\nSize: XL\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked dat e: 2026-08-20\nNotes: Official EUSIPCO 2026 pages list Bruges\, Aug 31-Se p 4\, and the extended conference-paper deadline. URL:https://eusipco2026.org/ LOCATION:Bruges\, Belgium END:VEVENT BEGIN:VEVENT UID:emnlp-2026-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260831T115900Z DTEND:20260831T125900Z SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] EMNLP 2026 - Camera-ready deadline DESCRIPTION:Conference title: Conference on Empirical Methods in Natural La nguage Processing\nWebsite: https://2026.emnlp.org/\nSource URL: https:// 2026.emnlp.org/calls/main_conference_papers/\nLocation: Budapest\, Hungar y\nTopics: Natural Language Processing & LLMs\, Deep Representation Learn ing\, LLM Agents & Tool Use\, Information Retrieval & Search\nSize: XXL\n Submission type: Paper-based\nConfidence: confirmed\nLast checked date: 2 026-10-07\nNotes: ARR fresh-paper submissions are closed. Commitment is o nly for reviewed papers and is not a new-paper route. Full conference win dow includes workshops. Size is an editorial estimate.\nScope: Empirical methods for language modeling and NLP\, including generation\, informatio n extraction\, multilinguality\, dialogue\, retrieval\, and model evaluat ion. Interpretability\, bias\, and safety matter within language systems. Curated coverage emphasizes language methods and evidence rather than ev ery application listed in the CFP.\nAdditional topics: Explainability & I nterpretability\, Fairness & Responsible AI\, Robustness & Safety\, Human -AI Interaction & Deployment\nScope sources (2026): https://2026.emnlp.or g/calls/main_conference_papers/\nScope last checked: 2026-10-07 URL:https://2026.emnlp.org/calls/main_conference_papers/ END:VEVENT BEGIN:VEVENT UID:3dv-2027-deadline-supplementary@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260903T115900Z DTEND:20260903T125900Z SUMMARY:[Computer Vision & Pattern Recognition][Computer Graphics & Visuali zation] 3DV 2027 - Supplementary material deadline DESCRIPTION:Conference title: International Conference on 3D Vision\nWebsit e: https://3dvconf.github.io/2027/\nSource URL: https://3dvconf.github.io /2027/\nLocation: Thessaloniki\, Greece\nTopics: Computer Vision & Patter n Recognition\, Computer Graphics & Visualization\, Signal Processing\nSi ze: M\nSubmission type: Paper-based / OpenReview\nConfidence: confirmed\n Last checked date: 2026-10-07\nNotes: The official site confirms Thessalo niki and identical abstract/paper cutoffs at 23:59 AoE. Its archive docum ents recent annual editions. CCF has a direct 3DV entry\, but no direct I CORE2026 rank was found. M is an editorial size estimate\, not measured a ttendance.\nScope: Three-dimensional computer vision and graphics\, espec ially sensing\, geometric modeling and representations\, reconstruction\, analysis\, rendering\, and visualization. It is a focused venue for reco vering and understanding 3D structure rather than all of computer vision. Papers combine geometric\, imaging\, and computational methods\; unrelat ed applications and every possible ML technique are not added as separate scope tags.\nAdditional topics: \nScope sources (2027): https://3dvconf. github.io/2027/\, https://3dvconf.github.io/2027/author-guidelines/\nScop e last checked: 2026-10-07 URL:https://3dvconf.github.io/2027/ END:VEVENT BEGIN:VEVENT UID:ecml-pkdd-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260907 DTEND;VALUE=DATE:20260912 SUMMARY:[Machine Learning][Data Mining & Data Science] ECML PKDD 2026 - Con ference DESCRIPTION:Conference title: European Conference on Machine Learning and P rinciples and Practice of Knowledge Discovery in Databases\nWebsite: http s://ecmlpkdd.org/2026/\nSource URL: https://ecmlpkdd.org/2026/\nLocation: Naples\, Italy\nTopics: Machine Learning\, Data Mining & Data Science\, Time Series & Sequential Data\, Explainability & Interpretability\nSize: L\nSubmission type: Paper-based / mixed tracks\nConfidence: confirmed\nLa st checked date: 2026-08-20\nNotes: Official ECML PKDD 2026 pages list Na ples\, Sep 7-11\, and the research-track abstract and paper deadlines. URL:https://ecmlpkdd.org/2026/ LOCATION:Naples\, Italy END:VEVENT BEGIN:VEVENT UID:eccv-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260908 DTEND;VALUE=DATE:20260913 SUMMARY:[Computer Vision & Pattern Recognition][Deep Representation Learnin g] ECCV 2026 - Conference DESCRIPTION:Conference title: European Conference on Computer Vision\nWebsi te: https://eccv.ecva.net/Conferences/2026\nSource URL: https://eccv.ecva .net/Conferences/2026/Dates\nLocation: Malmo\, Sweden\nTopics: Computer V ision & Pattern Recognition\, Deep Representation Learning\, Machine Lear ning\nSize: XXL\nSubmission type: Paper-based / Springer proceedings\nCon fidence: confirmed\nLast checked date: 2026-10-07\nNotes: Completed 2026 edition retained for the archive. Official dates use 23:00 CET for regist ration/papers (22:00 UTC)\, but camera-ready is AoE. ECCV is biennial in even years. XXL is supported by the 2024 organizers' report of 6\,705 par ticipants.\nScope: Broad research in visual perception\, representation l earning\, recognition\, segmentation\, 3D geometry and reconstruction\, c omputational imaging\, and image/video synthesis. Vision-language models\ , multimodal understanding\, human motion and appearance\, and robust vis ual systems extend this core. ECCV is the biennial European flagship for computer vision\; the scope uses the actual published 2026 CFP\, not an i nvented 2028 call.\nAdditional topics: Computer Graphics & Visualization\ , Multimedia Learning & Retrieval\, Natural Language Processing & LLMs\, Biometrics & Human Sensing\, Robustness & Safety\nScope sources (2026): h ttps://eccv.ecva.net/Conferences/2026/CallForPapers\nScope last checked: 2026-10-07 URL:https://eccv.ecva.net/Conferences/2026/Dates LOCATION:Malmo\, Sweden END:VEVENT BEGIN:VEVENT UID:aaltd-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260911 DTEND;VALUE=DATE:20260912 SUMMARY:[Time Series & Sequential Data][Data Mining & Data Science] AALTD 2 026 - Conference DESCRIPTION:Conference title: Workshop on Advanced Analytics and Learning o n Temporal Data\nWebsite: https://ecml-aaltd.github.io/aaltd2026/\nSource URL: https://ecml-aaltd.github.io/aaltd2026/\nLocation: Naples\, Italy\n Topics: Time Series & Sequential Data\, Data Mining & Data Science\, Mach ine Learning\, Explainability & Interpretability\nSize: S\nSubmission typ e: Workshop / paper-based\nConfidence: confirmed\nLast checked date: 2026 -09-14\nNotes: Official AALTD 2026 pages confirm the Sep 11 Naples worksh op and its Jun 5 abstract\, Jun 12 paper\, and Aug 17 camera-ready milest ones (Pacific Time).\nScope: Analytics and learning specifically for temp oral data: time-series classification\, clustering\, forecasting\, segmen tation\, anomaly detection\, temporal representations\, and metric or ker nel learning. Includes temporal foundation models\, data streams\, and ex plainable temporal analysis. Climate\, health\, and energy are examples o f applications rather than separate defining topic assignments.\nAddition al topics: Deep Representation Learning\nScope sources (2026): https://ec ml-aaltd.github.io/aaltd2026/\nScope last checked: 2026-10-07 URL:https://ecml-aaltd.github.io/aaltd2026/ LOCATION:Naples\, Italy END:VEVENT BEGIN:VEVENT UID:chi-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260911T115900Z DTEND:20260911T125900Z SUMMARY:[Human-AI Interaction & Deployment][Explainability & Interpretabili ty] CHI 2027 - Papers deadline DESCRIPTION:Conference title: ACM CHI Conference on Human Factors in Comput ing Systems\nWebsite: https://chi2027.acm.org/\nSource URL: https://chi20 27.acm.org/\nLocation: Pittsburgh\, Pennsylvania\, USA\nTopics: Human-AI Interaction & Deployment\, Explainability & Interpretability\, Fairness & Responsible AI\nSize: XL\nSubmission type: Paper-based / HCI-focused\nCo nfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official CHI 2 027 page lists Pittsburgh\, May 10-14\, 2027 conference dates and the ful l paper deadline. URL:https://chi2027.acm.org/ END:VEVENT BEGIN:VEVENT UID:ml4h-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260911T115900Z DTEND:20260911T125900Z SUMMARY:[Healthcare & Clinical AI][Machine Learning] ML4H 2026 - Paper subm ission deadline DESCRIPTION:Conference title: Machine Learning for Health Symposium\nWebsit e: https://ml4h.ahli.cc/\nSource URL: https://ml4h.ahli.cc/submit/call-fo r-papers/\nLocation: Sydney\, Australia\nTopics: Healthcare & Clinical AI \, Machine Learning\, Time Series & Sequential Data\, Deep Representation Learning\nSize: M\nSubmission type: Proceedings + findings tracks\nConfi dence: confirmed\nLast checked date: 2026-08-20\nNotes: Official ML4H 202 6 pages list symposium dates\, location\, and paper deadline. URL:https://ml4h.ahli.cc/submit/call-for-papers/ END:VEVENT BEGIN:VEVENT UID:icann-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260914 DTEND;VALUE=DATE:20260918 SUMMARY:[Machine Learning][Deep Representation Learning] ICANN 2026 - Confe rence DESCRIPTION:Conference title: International Conference on Artificial Neural Networks\nWebsite: https://e-nns.org/icann2026/\nSource URL: https://e-n ns.org/icann2026/\nLocation: Padua\, Italy\nTopics: Machine Learning\, De ep Representation Learning\, Computational Neuroscience\, Signal Processi ng\nSize: L\nSubmission type: Paper-based\nConfidence: confirmed\nLast ch ecked date: 2026-08-20\nNotes: Official ENNS ICANN 2026 page lists Padua\ , Sep 14-17\, and the full-paper/abstract deadline. URL:https://e-nns.org/icann2026/ LOCATION:Padua\, Italy END:VEVENT BEGIN:VEVENT UID:complex-networks-2026-deadline-extended-abstract@scientific-conference- calendar DTSTAMP:19700101T000000Z DTSTART:20260914T115900Z DTEND:20260914T125900Z SUMMARY:[Complex Systems & Network Science][Graphs & Graph Learning] COMPLE X NETWORKS 2026 - Extended abstract submission deadline (independent rout e) DESCRIPTION:Conference title: International Conference on Complex Networks and Their Applications\nWebsite: https://complexnetworks.org/\nSource URL : https://complexnetworks.org/submission/\nLocation: Granada\, Spain\nTop ics: Complex Systems & Network Science\, Graphs & Graph Learning\, Nonlin ear Dynamics & Chaos\, Data Mining & Data Science\nSize: L\nSubmission ty pe: Paper-based + extended abstracts\nConfidence: confirmed\nLast checked date: 2026-10-08\nNotes: Main conference December 2-4\; tutorials Decemb er 1. Full papers appear in Springer Studies in Computational Intelligenc e\; extended abstracts in a separate abstract book. Abstracts are an inde pendent contribution\, not a prerequisite for full papers. Production cut off hours are unannounced. Size is an editorial estimate.\nScope: Structu re\, inference and dynamics of complex networks\, including community str ucture\, multilayer and temporal networks\, spreading processes\, graph l earning and network neuroscience. Network methods\, rather than a broad i nventory of every application\, characterize the meeting. Full papers and extended abstracts have separate publication outcomes.\nAdditional topic s: Time Series & Sequential Data\, Machine Learning\, Computational Neuro science\nScope sources (2026): https://complexnetworks.org/submission/\nS cope last checked: 2026-10-08 URL:https://complexnetworks.org/submission/ END:VEVENT BEGIN:VEVENT UID:complex-networks-2026-deadline-full-paper@scientific-conference-calenda r DTSTAMP:19700101T000000Z DTSTART:20260914T115900Z DTEND:20260914T125900Z SUMMARY:[Complex Systems & Network Science][Graphs & Graph Learning] COMPLE X NETWORKS 2026 - Extended full-paper submission deadline DESCRIPTION:Conference title: International Conference on Complex Networks and Their Applications\nWebsite: https://complexnetworks.org/\nSource URL : https://complexnetworks.org/submission/\nLocation: Granada\, Spain\nTop ics: Complex Systems & Network Science\, Graphs & Graph Learning\, Nonlin ear Dynamics & Chaos\, Data Mining & Data Science\nSize: L\nSubmission ty pe: Paper-based + extended abstracts\nConfidence: confirmed\nLast checked date: 2026-10-08\nNotes: Main conference December 2-4\; tutorials Decemb er 1. Full papers appear in Springer Studies in Computational Intelligenc e\; extended abstracts in a separate abstract book. Abstracts are an inde pendent contribution\, not a prerequisite for full papers. Production cut off hours are unannounced. Size is an editorial estimate.\nScope: Structu re\, inference and dynamics of complex networks\, including community str ucture\, multilayer and temporal networks\, spreading processes\, graph l earning and network neuroscience. Network methods\, rather than a broad i nventory of every application\, characterize the meeting. Full papers and extended abstracts have separate publication outcomes.\nAdditional topic s: Time Series & Sequential Data\, Machine Learning\, Computational Neuro science\nScope sources (2026): https://complexnetworks.org/submission/\nS cope last checked: 2026-10-08 URL:https://complexnetworks.org/submission/ END:VEVENT BEGIN:VEVENT UID:sfn-neuroscience-2026-deadline-late-abstract@scientific-conference-cale ndar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260915 DTEND;VALUE=DATE:20260916 SUMMARY:[Systems & Experimental Neuroscience][Computational Neuroscience] S fN Neuroscience 2026 - Late-breaking research abstract submission deadlin e (cutoff time unannounced) DESCRIPTION:Conference title: Society for Neuroscience Annual Meeting\nWebs ite: https://www.sfn.org/meetings/neuroscience-2026\nSource URL: https:// www.sfn.org/cfa\nLocation: Washington\, DC\, USA\nTopics: Systems & Exper imental Neuroscience\, Computational Neuroscience\, Cognitive Science & C omputational Cognition\, Neuroimaging & Brain Mapping\nSize: XXL\nSubmiss ion type: Abstract-based\nConfidence: confirmed\nLast checked date: 2026- 10-08\nNotes: Annual broad neuroscience meeting. Research abstracts are a rchived\, not peer-reviewed full-paper proceedings. Late-breaking submiss ions opened September 8 and were capped at 2\,500\, so could close early. Membership and presenter requirements apply. The late-breaking cutoff ho ur was not verified. Size is an editorial estimate.\nScope: Broad neurosc ience annual meeting spanning molecular and cellular neuroscience\, neura l circuits\, systems and behavioral neuroscience\, cognition\, developmen t and disease. Computational neuroscience\, neuroimaging and neurotechnol ogy are relevant parts of this broad remit\, not its exclusive identity. Research abstracts are presented and archived\; they are not standard ful l-paper conference proceedings.\nAdditional topics: EEG/MEG & Neural Sign als\, BCI & Neurotechnology\nScope sources (2026): https://www.sfn.org/cf a\, https://www.sfn.org/meetings\nScope last checked: 2026-10-08\nOfficia l deadline day\; exact cutoff hour/timezone is unannounced. Verify the or ganizer's submission portal. URL:https://www.sfn.org/cfa END:VEVENT BEGIN:VEVENT UID:fmts-neurips-2026-deadline-short-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260916T115900Z DTEND:20260916T125900Z SUMMARY:[Time Series & Sequential Data][Machine Learning] FMTS @ NeurIPS 20 26 (day TBA) - Workshop paper submission deadline (estimated) DESCRIPTION:Conference title: Foundation Models for Temporal Systems: From Forecasting to World Modeling\nWebsite: https://fmts-workshop.github.io/\ nSource URL: https://fmts-workshop.github.io/cfp.html\nLocation: Sydney\, Australia\nTopics: Time Series & Sequential Data\, Machine Learning\, De ep Representation Learning\, Probabilistic\, Causal & Uncertainty ML\nSiz e: S\nSubmission type: Workshop / non-archival short paper\nConfidence: e stimated\nLast checked date: 2026-10-05\nNotes: Confirmed one-day NeurIPS 2026 workshop. NeurIPS will assign either Dec 11 or Dec 12\; Dec 11 is a calendar placeholder\, not a confirmed workshop day. The Nov 6 camera-re ady date is tentative and is not listed as a deadline.\nScope: Foundation models for temporal systems\, centered on long-horizon and probabilistic forecasting\, temporal pretraining\, generative simulation\, irregularly sampled and multimodal sequences\, and state-space architectures. Reliab ility is a defining theme: distribution shift\, calibrated uncertainty\, leakage-aware benchmarks\, and consistency of simulated trajectories.\nAd ditional topics: System Identification & Data-driven Dynamics\, Robustnes s & Safety\nScope sources (2026): https://fmts-workshop.github.io/cfp.htm l\nScope last checked: 2026-10-07 URL:https://fmts-workshop.github.io/cfp.html END:VEVENT BEGIN:VEVENT UID:icra-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260917T075900Z DTEND:20260917T085900Z SUMMARY:[Control & Robotics][Reinforcement Learning] ICRA 2027 - Extended p aper submission deadline DESCRIPTION:Conference title: IEEE International Conference on Robotics and Automation\nWebsite: https://2027.ieee-icra.org/\nSource URL: https://20 27.ieee-icra.org/announcements/call-for-papers-submission-deadline-extend ed/\nLocation: Seoul\, South Korea\nTopics: Control & Robotics\, Reinforc ement Learning\, Computer Vision & Pattern Recognition\, System Identific ation & Data-driven Dynamics\nSize: XXL\nSubmission type: Paper-based\nCo nfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official Septe mber 16 extension notice states new deadline September 16 at 23:59 PST\; preserve its literal UTC-8 even though local September civil time is PDT. Fresh-paper submissions are closed. Optional videos and final uploads do not reopen them. Size is an editorial estimate.\nScope: Robotics and aut omation across perception\, motion and manipulation\, planning and contro l\, human-robot interaction\, and autonomous systems. Learning-based robo tics\, reinforcement and imitation learning\, and data-driven models are relevant when they advance physical robotic capability. Generic ML with n o robotics connection is not the core remit.\nAdditional topics: Planning & Search\, Deep Representation Learning\, Human-AI Interaction & Deploym ent\, Robustness & Safety\nScope sources (2027): https://2027.ieee-icra.o rg/contribute/call-for-icra-2027-papers-now-accepting-submissions/\nScope last checked: 2026-10-07 URL:https://2027.ieee-icra.org/announcements/call-for-papers-submission-dea dline-extended/ END:VEVENT BEGIN:VEVENT UID:icassp-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260917T115900Z DTEND:20260917T125900Z SUMMARY:[Signal Processing][Machine Learning] ICASSP 2027 - Paper submissio n deadline DESCRIPTION:Conference title: IEEE International Conference on Acoustics\, Speech\, and Signal Processing\nWebsite: https://2027.ieeeicassp.org/\nSo urce URL: https://2027.ieeeicassp.org/call-for-papers/\nLocation: Toronto \, Canada\nTopics: Signal Processing\, Machine Learning\, Time Series & S equential Data\, Computer Vision & Pattern Recognition\nSize: XL\nSubmiss ion type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08- 20\nNotes: Official ICASSP 2027 pages list Toronto\, May 16-21\, 2027 con ference dates\, and the full paper submission deadline. URL:https://2027.ieeeicassp.org/call-for-papers/ END:VEVENT BEGIN:VEVENT UID:iclr-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260919T115900Z DTEND:20260919T125900Z SUMMARY:[Deep Representation Learning][Machine Learning] ICLR 2027 - Abstra ct submission deadline DESCRIPTION:Conference title: International Conference on Learning Represen tations\nWebsite: https://iclr.cc/Conferences/2027\nSource URL: https://i clr.cc/Conferences/2027\nLocation: San Francisco\, California\, USA\nTopi cs: Deep Representation Learning\, Machine Learning\, Explainability & In terpretability\, Robustness & Safety\nSize: XXL\nSubmission type: Paper-b ased / OpenReview\nConfidence: confirmed\nLast checked date: 2026-08-20\n Notes: Official ICLR 2027 and OpenReview pages list San Francisco\, Apr 2 6-30\, 2027\, and the abstract/paper deadlines.\nScope: Learning represen tations and understanding deep learning\, with an emphasis on self-superv ised learning\, generative models\, transfer and meta-learning\, and the optimization and theory of learned representations. Language\, vision\, p robabilistic modeling\, and reinforcement learning are substantial areas\ , rather than unrelated application-domain tags.\nAdditional topics: Lear ning Theory & Statistical Foundations\, Probabilistic\, Causal & Uncertai nty ML\, Reinforcement Learning\, Natural Language Processing & LLMs\, Co mputer Vision & Pattern Recognition\, ML Systems & Infrastructure\nScope sources (2027): https://iclr.cc/Conferences/2027/CallForPapers\nScope las t checked: 2026-10-07 URL:https://iclr.cc/Conferences/2027 END:VEVENT BEGIN:VEVENT UID:ieee-cdc-2026-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260918 DTEND;VALUE=DATE:20260919 SUMMARY:[Control & Robotics][System Identification & Data-driven Dynamics] IEEE CDC 2026 - Final manuscript submission (cutoff time unannounced) DESCRIPTION:Conference title: IEEE Conference on Decision and Control\nWebs ite: https://cdc2026.ieeecss.org/\nSource URL: https://cdc2026.ieeecss.or g/\nLocation: Honolulu\, Hawaii\, USA\nTopics: Control & Robotics\, Syste m Identification & Data-driven Dynamics\, Nonlinear Dynamics & Chaos\, Re inforcement Learning\nSize: XL\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-10-06\nNotes: Annual IEEE CSS confere nce. Main meeting excludes December 14 workshops. No current ICORE rank i s inferred from the removed CORE2018 listing. Deadline cutoff hours use e stimated end-of-day AoE. Size is an editorial category.\nOfficial deadlin e day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://cdc2026.ieeecss.org/ END:VEVENT BEGIN:VEVENT UID:nodycon-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260920 DTEND;VALUE=DATE:20260924 SUMMARY:[Nonlinear Dynamics & Chaos][System Identification & Data-driven Dy namics] NODYCON 2026 - Conference DESCRIPTION:Conference title: International Nonlinear Dynamics Conference\n Website: https://nodycon2026.app.earendelplatform.com/\nSource URL: https ://nodycon2026.app.earendelplatform.com/\nLocation: Rome\, Italy\nTopics: Nonlinear Dynamics & Chaos\, System Identification & Data-driven Dynamic s\, Control & Robotics\, Complex Systems & Network Science\nSize: L\nSubm ission type: Abstract-based + selected journal papers\nConfidence: confir med\nLast checked date: 2026-10-08\nNotes: Historical 2026 meeting. Selec ted presented papers may be considered for Nonlinear Dynamics after addit ional journal review\; that manuscript step is not a fresh conference sub mission. Prior editions have Springer proceedings\, but no blanket 2026 p roceedings promise is asserted. The 2025-to-2026 change breaks the earlie r biennial cadence\; the next edition is unannounced. Cutoff hours are un announced. Size is an editorial estimate.\nScope: Nonlinear dynamics in e ngineering and physical systems: bifurcations\, chaos\, vibrations\, sync hronization\, nonlinear control\, system identification and data-driven d ynamical modeling. Machine learning is relevant through discovering\, for ecasting or controlling dynamics. Publication is edition-specific: past S pringer volumes do not imply that every later meeting has standard procee dings.\nAdditional topics: Time Series & Sequential Data\, Machine Learni ng\nScope sources (2026): https://www.sisco-scienzadellecostruzioni.org/i ndex.php/eventi/prossimi-eventi/conferenza/nodycon-2026\nScope last check ed: 2026-10-08 URL:https://nodycon2026.app.earendelplatform.com/ LOCATION:Rome\, Italy END:VEVENT BEGIN:VEVENT UID:lod-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260921 DTEND;VALUE=DATE:20260925 SUMMARY:[Machine Learning][Data Mining & Data Science] AIS 2026 (formerly L OD) - Conference DESCRIPTION:Conference title: Artificial Intelligence Symposium (formerly L OD)\nWebsite: https://ais2026.icas.events/\nSource URL: https://ais2026.i cas.events/\nLocation: Castiglione della Pescaia\, Italy\nTopics: Machine Learning\, Data Mining & Data Science\, Learning Theory & Statistical Fo undations\, Time Series & Sequential Data\nSize: M\nSubmission type: Pape r-based / Springer proceedings\nConfidence: confirmed\nLast checked date: 2026-10-06\nNotes: The organizer says LOD was renamed AIS in 2026 and co nfirms Sep 21-24 in Tuscany. Its page lists a Jun 23 first batch and an e xtended Aug 18 second-batch countdown. The prior lod-2026 ID is retained for stable calendar subscriptions. URL:https://ais2026.icas.events/ LOCATION:Castiglione della Pescaia\, Italy END:VEVENT BEGIN:VEVENT UID:ecir-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260921 DTEND;VALUE=DATE:20260922 SUMMARY:[Information Retrieval & Search][Recommender Systems] ECIR 2027 - F ull-paper abstract deadline (cutoff time unannounced) DESCRIPTION:Conference title: European Conference on Information Retrieval\ nWebsite: https://www.ecir2027.co.uk/\nSource URL: https://www.ecir2027.c o.uk/call-for-full-papers\nLocation: Southampton\, UK\nTopics: Informatio n Retrieval & Search\, Recommender Systems\, Natural Language Processing & LLMs\, LLM Agents & Tool Use\nSize: L\nSubmission type: Paper-based\nCo nfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Track-specific calls confirm paper days but no exact cutoff hour. Full/short abstract g ates are already closed\; replicability and resource papers remain indepe ndent opportunities. Resource papers report original research resources\, not camera-ready work. Size is an editorial estimate.\nScope: Informatio n retrieval and ranking\, recommendation\, conversational search and RAG\ , user information interaction\, system efficiency\, and rigorous evaluat ion. The 2027 call explicitly includes language models and agentic retrie val workflows. Replicability and research-resource papers are distinct ro utes. Fairness and explainability concern information access rather than generic responsible-AI topics.\nAdditional topics: Human-AI Interaction & Deployment\, Explainability & Interpretability\, Fairness & Responsible AI\, Multimedia Learning & Retrieval\nScope sources (2027): https://www.e cir2027.co.uk/call-for-full-papers\nScope last checked: 2026-10-07\nOffic ial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://www.ecir2027.co.uk/call-for-full-papers END:VEVENT BEGIN:VEVENT UID:satml-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260923T115900Z DTEND:20260923T125900Z SUMMARY:[Robustness & Safety][Privacy-preserving ML] SaTML 2027 - Mandatory abstract registration deadline DESCRIPTION:Conference title: IEEE Conference on Secure and Trustworthy Mac hine Learning\nWebsite: https://satml.org/\nSource URL: https://satml.org /call-for-papers/\nLocation: Reykjavik\, Iceland\nTopics: Robustness & Sa fety\, Privacy-preserving ML\, Fairness & Responsible AI\, Explainability & Interpretability\nSize: M\nSubmission type: Paper-based / systematizat ion of knowledge / position papers\nConfidence: confirmed\nLast checked d ate: 2026-10-07\nNotes: Fifth annual edition. Main meeting May 4-6\; work shops May 3. The mandatory registration and new-paper deadlines have pass ed. Revisions are restricted to existing submissions and do not reopen ne w-paper opportunities. Camera-ready is only announced as mid-February\, e xact date TBC\, so no exact camera-ready event is invented. Size M is an editorial estimate.\nScope: Security\, safety\, and trustworthiness of ma chine learning. Characteristic work studies attacks and defenses\, privac y\, verification\, ML-system security\, fairness\, interpretability\, and trustworthy data curation. Theoretical\, empirical\, and applied papers must engage substantively with a safety or trustworthiness question\; mer ely using an ML model is insufficient.\nAdditional topics: Machine Learni ng\, ML Systems & Infrastructure\nScope sources (2027): https://satml.org /call-for-papers/\nScope last checked: 2026-10-07 URL:https://satml.org/call-for-papers/ END:VEVENT BEGIN:VEVENT UID:iclr-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260926T115900Z DTEND:20260926T125900Z SUMMARY:[Deep Representation Learning][Machine Learning] ICLR 2027 - Paper submission deadline DESCRIPTION:Conference title: International Conference on Learning Represen tations\nWebsite: https://iclr.cc/Conferences/2027\nSource URL: https://i clr.cc/Conferences/2027\nLocation: San Francisco\, California\, USA\nTopi cs: Deep Representation Learning\, Machine Learning\, Explainability & In terpretability\, Robustness & Safety\nSize: XXL\nSubmission type: Paper-b ased / OpenReview\nConfidence: confirmed\nLast checked date: 2026-08-20\n Notes: Official ICLR 2027 and OpenReview pages list San Francisco\, Apr 2 6-30\, 2027\, and the abstract/paper deadlines.\nScope: Learning represen tations and understanding deep learning\, with an emphasis on self-superv ised learning\, generative models\, transfer and meta-learning\, and the optimization and theory of learned representations. Language\, vision\, p robabilistic modeling\, and reinforcement learning are substantial areas\ , rather than unrelated application-domain tags.\nAdditional topics: Lear ning Theory & Statistical Foundations\, Probabilistic\, Causal & Uncertai nty ML\, Reinforcement Learning\, Natural Language Processing & LLMs\, Co mputer Vision & Pattern Recognition\, ML Systems & Infrastructure\nScope sources (2027): https://iclr.cc/Conferences/2027/CallForPapers\nScope las t checked: 2026-10-07 URL:https://iclr.cc/Conferences/2027 END:VEVENT BEGIN:VEVENT UID:miccai-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260927 DTEND;VALUE=DATE:20261002 SUMMARY:[Biomedical Imaging][Healthcare & Clinical AI] MICCAI 2026 - Confer ence DESCRIPTION:Conference title: International Conference on Medical Image Com puting and Computer Assisted Intervention\nWebsite: https://conferences.m iccai.org/2026/en/default.asp\nSource URL: https://conferences.miccai.org /2026/en/default.asp\nLocation: Strasbourg\, France\nTopics: Biomedical I maging\, Healthcare & Clinical AI\, Deep Representation Learning\, Neuroi maging & Brain Mapping\nSize: XL\nSubmission type: Paper-based\nConfidenc e: confirmed\nLast checked date: 2026-08-20\nNotes: Official MICCAI Socie ty pages list the relocated Strasbourg venue\, Sep 27-Oct 1 dates\, and p aper registration/submission deadlines. URL:https://conferences.miccai.org/2026/en/default.asp LOCATION:Strasbourg\, France END:VEVENT BEGIN:VEVENT UID:bernstein-conference-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260928 DTEND;VALUE=DATE:20261002 SUMMARY:[Computational Neuroscience][EEG/MEG & Neural Signals] Bernstein Co nference 2026 - Conference DESCRIPTION:Conference title: Bernstein Conference\nWebsite: https://bernst ein-network.de/en/bernstein-conference/\nSource URL: https://bernstein-ne twork.de/en/bernstein-conference/\nLocation: Frankfurt am Main\, Germany\ nTopics: Computational Neuroscience\, EEG/MEG & Neural Signals\, Machine Learning\, Time Series & Sequential Data\nSize: M\nSubmission type: Abstr act-based / talks selective\nConfidence: confirmed\nLast checked date: 20 26-08-31\nNotes: Official Bernstein Conference information confirms Frank furt am Main\, Sep 28-Oct 1\, and the Jul 1 contributed-abstract deadline . URL:https://bernstein-network.de/en/bernstein-conference/ LOCATION:Frankfurt am Main\, Germany END:VEVENT BEGIN:VEVENT UID:euvip-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260928 DTEND;VALUE=DATE:20261002 SUMMARY:[Signal Processing][Computer Vision & Pattern Recognition] EUVIP 20 26 - Conference DESCRIPTION:Conference title: European Conference on Visual Information Pro cessing\nWebsite: https://euvip2026.github.io/\nSource URL: https://euvip 2026.github.io/\nLocation: Luxembourg\, Luxembourg\nTopics: Signal Proces sing\, Computer Vision & Pattern Recognition\, Machine Learning\, Deep Re presentation Learning\nSize: S\nSubmission type: Regular and special-sess ion papers\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Completed 2026 edition retained for the archive. Latest organizer announc ements supersede the original CFP deadlines\, confirming June 15 for regu lar papers and July 7 for special sessions\, both 23:59 AoE. Recent 2024- 2026 editions support an annual planning cadence. S is an editorial estim ate\; no ICORE or CCF rank is borrowed from related venues.\nScope: Visua l information processing across image\, video\, 3D\, and unconventional s ensing modalities. Its defining areas are computational imaging\, restora tion and enhancement\, coding\, recognition\, multimodal fusion\, and sub jective/objective quality assessment. Rendering and visualizing data\, hu man/biometric analysis\, and robust evaluation are recurring strands. An extensive applications list is not treated as equal coverage of every app lication domain or every responsible-AI subtopic.\nAdditional topics: Mul timedia Learning & Retrieval\, Computer Graphics & Visualization\, Biomet rics & Human Sensing\, Robustness & Safety\nScope sources (2026): https:/ /euvip2026.github.io/C4P.pdf\, https://euvip2026.github.io/calls/\nScope last checked: 2026-10-07 URL:https://euvip2026.github.io/ LOCATION:Luxembourg\, Luxembourg END:VEVENT BEGIN:VEVENT UID:ieee-mlsp-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260928 DTEND;VALUE=DATE:20261002 SUMMARY:[Machine Learning][Signal Processing] IEEE MLSP 2026 - Conference DESCRIPTION:Conference title: IEEE International Workshop on Machine Learni ng for Signal Processing\nWebsite: https://mlsp26.ieeesps.org/\nSource UR L: https://signalprocessingsociety.org/event-names/mlsp\nLocation: Atlant a\, Georgia\, USA\nTopics: Machine Learning\, Signal Processing\, Time Se ries & Sequential Data\nSize: M\nSubmission type: Paper-based / workshop- style conference\nConfidence: confirmed\nLast checked date: 2026-08-20\nN otes: IEEE Signal Processing Society MLSP page lists dates\, location\, w ebsite\, and paper submission deadline. URL:https://signalprocessingsociety.org/event-names/mlsp LOCATION:Atlanta\, Georgia\, USA END:VEVENT BEGIN:VEVENT UID:aistats-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260930T115900Z DTEND:20260930T125900Z SUMMARY:[Learning Theory & Statistical Foundations][Machine Learning] AISTA TS 2027 - Abstract submission deadline DESCRIPTION:Conference title: International Conference on Artificial Intell igence and Statistics\nWebsite: https://aistats.org/aistats2027/index.htm l\nSource URL: https://aistats.org/aistats2027/dates.html\nLocation: Mont real\, Quebec\, Canada\nTopics: Learning Theory & Statistical Foundations \, Machine Learning\, Probabilistic\, Causal & Uncertainty ML\, Time Seri es & Sequential Data\nSize: L\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-09-14\nNotes: Official AISTATS 2027 pa ges confirm Montreal\, May 3-6\, 2027\, and the Sep 29 abstract and Oct 6 full-paper deadlines (AoE).\nScope: Research at the interface of artific ial intelligence\, machine learning\, and statistics. Its defining emphas is is on statistical foundations and methodology for learning and inferen ce\, rather than a particular application domain. Research bridges statis tical reasoning and learning algorithms\, with archival contributions to both communities.\nAdditional topics: \nScope sources (2027): https://ais tats.org/aistats2027/\, https://aistats.org/aistats2027/call-for-papers.h tml\nScope last checked: 2026-10-07 URL:https://aistats.org/aistats2027/dates.html END:VEVENT BEGIN:VEVENT UID:satml-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260930T115900Z DTEND:20260930T125900Z SUMMARY:[Robustness & Safety][Privacy-preserving ML] SaTML 2027 - Research\ , SoK\, and position paper deadline DESCRIPTION:Conference title: IEEE Conference on Secure and Trustworthy Mac hine Learning\nWebsite: https://satml.org/\nSource URL: https://satml.org /call-for-papers/\nLocation: Reykjavik\, Iceland\nTopics: Robustness & Sa fety\, Privacy-preserving ML\, Fairness & Responsible AI\, Explainability & Interpretability\nSize: M\nSubmission type: Paper-based / systematizat ion of knowledge / position papers\nConfidence: confirmed\nLast checked d ate: 2026-10-07\nNotes: Fifth annual edition. Main meeting May 4-6\; work shops May 3. The mandatory registration and new-paper deadlines have pass ed. Revisions are restricted to existing submissions and do not reopen ne w-paper opportunities. Camera-ready is only announced as mid-February\, e xact date TBC\, so no exact camera-ready event is invented. Size M is an editorial estimate.\nScope: Security\, safety\, and trustworthiness of ma chine learning. Characteristic work studies attacks and defenses\, privac y\, verification\, ML-system security\, fairness\, interpretability\, and trustworthy data curation. Theoretical\, empirical\, and applied papers must engage substantively with a safety or trustworthiness question\; mer ely using an ML model is insufficient.\nAdditional topics: Machine Learni ng\, ML Systems & Infrastructure\nScope sources (2027): https://satml.org /call-for-papers/\nScope last checked: 2026-10-07 URL:https://satml.org/call-for-papers/ END:VEVENT BEGIN:VEVENT UID:discovery-science-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260930T215900Z DTEND:20260930T225900Z SUMMARY:[Data Mining & Data Science][Machine Learning] Discovery Science 20 26 - Late-breaking abstract deadline DESCRIPTION:Conference title: International Conference on Discovery Science \nWebsite: https://discovery-science.org/\nSource URL: https://discovery- science.org/\nLocation: Mainz\, Germany\nTopics: Data Mining & Data Scien ce\, Machine Learning\, Learning Theory & Statistical Foundations\, Time Series & Sequential Data\nSize: M\nSubmission type: Paper-based / researc h forum\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Off icial Discovery Science 2026 site lists Mainz\, Oct 5-9\, and the Sep 30 late-breaking abstract deadline. URL:https://discovery-science.org/ END:VEVENT BEGIN:VEVENT UID:aamas-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261002T115900Z DTEND:20261002T125900Z SUMMARY:[Machine Learning][Reinforcement Learning] AAMAS 2027 - Main-track abstract registration deadline DESCRIPTION:Conference title: International Conference on Autonomous Agents and Multiagent Systems\nWebsite: https://warwick.ac.uk/fac/sci/dcs/aamas 2027/\nSource URL: https://warwick.ac.uk/fac/sci/dcs/aamas2027/calls/call -for-main-track/\nLocation: Hanoi\, Vietnam\nTopics: Machine Learning\, R einforcement Learning\, Autonomous Agents & Multiagent Systems\, Human-AI Interaction & Deployment\nSize: XL\nSubmission type: Paper-based / Blue Sky Ideas short papers\nConfidence: confirmed\nLast checked date: 2026-10 -07\nNotes: Annual flagship meeting in Hanoi. New main-track submissions are closed because the Oct 1 abstract gate has passed\, even before the O ct 8 paper cutoff. The separate four-page Blue Sky Ideas track remains a forthcoming opportunity\; author registration is announced for Oct 20 but no exact opening hour is given. Its Nov 5 gate only controls its Nov 12 short papers. AAAI fast-track and already published JAAMAS presentations are not general new-paper routes. Size XL is an editorial estimate. Histo rical acceptance covers main full papers only\, not Blue Sky Ideas or the newly introduced 2027 Findings track.\nScope: Autonomous agents and mult i-agent systems: learning and adaptation\, coordination\, game theory\, p lanning\, reasoning\, agent engineering\, and agent-based simulation. Als o covers human-agent interaction\, robot teams\, norms and governance\, a nd generative agents. The contribution should concern agents or their int eraction\; generic language-model or learning results are not automatical ly in scope.\nAdditional topics: Deep Representation Learning\, Probabili stic\, Causal & Uncertainty ML\, Control & Robotics\, Complex Systems & N etwork Science\, Ethics & Governance\, Explainability & Interpretability\ nScope sources (2027): https://warwick.ac.uk/fac/sci/dcs/aamas2027/calls/ call-for-main-track/\nScope last checked: 2026-10-07 URL:https://warwick.ac.uk/fac/sci/dcs/aamas2027/calls/call-for-main-track/ END:VEVENT BEGIN:VEVENT UID:ieee-bhi-2026-deadline-late-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261003T075900Z DTEND:20261003T085900Z SUMMARY:[Healthcare & Clinical AI][Data Mining & Data Science] IEEE BHI 202 6 - Late abstract submission DESCRIPTION:Conference title: IEEE EMBS International Conference on Biomedi cal and Health Informatics\nWebsite: https://bhi.embs.org/2026/\nSource U RL: https://bhi.embs.org/2026/contributors/papers/\nLocation: Hong Kong\, China\nTopics: Healthcare & Clinical AI\, Data Mining & Data Science\, M achine Learning\, Human-AI Interaction & Deployment\nSize: M\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-20\n Notes: Official BHI 2026 pages list conference dates\, location\, and sub mission deadlines. URL:https://bhi.embs.org/2026/contributors/papers/ END:VEVENT BEGIN:VEVENT UID:acc-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261002 DTEND;VALUE=DATE:20261003 SUMMARY:[Control & Robotics][System Identification & Data-driven Dynamics] ACC 2027 - Regular paper submission (cutoff time unannounced) DESCRIPTION:Conference title: American Control Conference\nWebsite: https:/ /acc2027.a2c2.org/\nSource URL: https://acc2027.a2c2.org/\nLocation: Phil adelphia\, Pennsylvania\, USA\nTopics: Control & Robotics\, System Identi fication & Data-driven Dynamics\, Reinforcement Learning\nSize: XL\nSubmi ssion type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-1 0-06\nNotes: Annual AACC meeting. The firm regular-paper extension is Oct ober 2\, not the older September 25 CFP date. Later tutorial papers depen d on an accepted tutorial session and are not an unrestricted new-paper r oute. Cutoff hours use estimated end-of-day AoE. Size is an editorial cat egory.\nOfficial deadline day\; exact cutoff hour/timezone is unannounced . Verify the organizer's submission portal. URL:https://acc2027.a2c2.org/ END:VEVENT BEGIN:VEVENT UID:ijcnlp-2026-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261003T115900Z DTEND:20261003T125900Z SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] IJCNLP 2026 - Extended camera-ready deadline DESCRIPTION:Conference title: Asia-Pacific ACL and International Joint Conf erence on Natural Language Processing\nWebsite: https://2026.aaclnet.org/ \nSource URL: https://2026.aaclnet.org/calls/main_conference_papers/\nLoc ation: Hengqin\, China\nTopics: Natural Language Processing & LLMs\, Deep Representation Learning\, LLM Agents & Tool Use\, Information Retrieval & Search\nSize: L\nSubmission type: Paper-based\nConfidence: confirmed\nL ast checked date: 2026-10-07\nNotes: Joint AACL-IJCNLP 2026 is one editio n under the IJCNLP series\, not two conferences. ARR submissions and both commitment rounds are closed. Joint-series recurrence is irregular\; do not automatically invent an annual next edition. Size is an editorial est imate.\nScope: Computational linguistics and natural-language technologie s in the Asia-Pacific community\, including multilingual and low-resource NLP\, language modeling\, generation\, dialogue\, structured prediction\ , and evaluation. The 2026 edition is jointly organized as AACL-IJCNLP. A lias identity is preserved without inheriting the separate ACL conference ranking.\nAdditional topics: Cognitive Science & Computational Cognition \, Explainability & Interpretability\, Fairness & Responsible AI\, Human- AI Interaction & Deployment\nScope sources (2026): https://2026.aaclnet.o rg/calls/main_conference_papers/\nScope last checked: 2026-10-07 URL:https://2026.aaclnet.org/calls/main_conference_papers/ END:VEVENT BEGIN:VEVENT UID:smc-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261004 DTEND;VALUE=DATE:20261008 SUMMARY:[Control & Robotics][Complex Systems & Network Science] SMC 2026 - Conference DESCRIPTION:Conference title: IEEE International Conference on Systems\, Ma n\, and Cybernetics\nWebsite: https://www.ieeesmc2026.org/\nSource URL: h ttps://www.ieeesmc2026.org/\nLocation: Bellevue\, Washington\, USA\nTopic s: Control & Robotics\, Complex Systems & Network Science\, Machine Learn ing\, Human-AI Interaction & Deployment\nSize: L\nSubmission type: Paper- based\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Organ izer date table confirms October 4-7 (society calendar has older October 4-6). Duplicate camera-ready blocks disagree August 2/9\, so neither is a sserted. Exact paper cutoff hours unannounced. Size is an editorial estim ate.\nScope: Systems science\, cybernetics\, and human-machine systems. C haracteristic ML-facing work includes intelligent and learning-based cont rol\, autonomous systems\, adaptive decision-making\, and human-AI intera ction\; brain-machine interfaces and cognitive systems are meaningful ext ensions. Its interdisciplinary remit is curated without tagging every ind ustrial application as a core specialty.\nAdditional topics: Reinforcemen t Learning\, System Identification & Data-driven Dynamics\, BCI & Neurote chnology\, Cognitive Science & Computational Cognition\nScope sources (20 26): https://www.ieeesmc2026.org/call-for-papers\nScope last checked: 202 6-10-07 URL:https://www.ieeesmc2026.org/ LOCATION:Bellevue\, Washington\, USA END:VEVENT BEGIN:VEVENT UID:discovery-science-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261005 DTEND;VALUE=DATE:20261010 SUMMARY:[Data Mining & Data Science][Machine Learning] Discovery Science 20 26 - Conference DESCRIPTION:Conference title: International Conference on Discovery Science \nWebsite: https://discovery-science.org/\nSource URL: https://discovery- science.org/\nLocation: Mainz\, Germany\nTopics: Data Mining & Data Scien ce\, Machine Learning\, Learning Theory & Statistical Foundations\, Time Series & Sequential Data\nSize: M\nSubmission type: Paper-based / researc h forum\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Off icial Discovery Science 2026 site lists Mainz\, Oct 5-9\, and the Sep 30 late-breaking abstract deadline. URL:https://discovery-science.org/ LOCATION:Mainz\, Germany END:VEVENT BEGIN:VEVENT UID:ieee-icmla-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261005 DTEND;VALUE=DATE:20261008 SUMMARY:[Machine Learning][Deep Representation Learning] IEEE ICMLA 2026 - Conference DESCRIPTION:Conference title: IEEE International Conference on Machine Lear ning and Applications\nWebsite: https://www.icmla-conference.org/icmla26/ \nSource URL: https://www.icmla-conference.org/icmla26/callforpapers.html \nLocation: Rochester\, Michigan\, USA\nTopics: Machine Learning\, Deep R epresentation Learning\, Data Mining & Data Science\, Time Series & Seque ntial Data\nSize: M\nSubmission type: Paper-based / special sessions\nCon fidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official ICMLA 2026 CFP lists Rochester\, Oct 5-7\, and the main-conference paper deadli ne. URL:https://www.icmla-conference.org/icmla26/callforpapers.html LOCATION:Rochester\, Michigan\, USA END:VEVENT BEGIN:VEVENT UID:colm-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261006 DTEND;VALUE=DATE:20261010 SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] COLM 2026 - Conference DESCRIPTION:Conference title: Conference on Language Modeling\nWebsite: htt ps://colm.cc/\nSource URL: https://colm.cc/\nLocation: San Francisco\, Ca lifornia\, USA\nTopics: Natural Language Processing & LLMs\, Deep Represe ntation Learning\, LLM Agents & Tool Use\, Information Retrieval & Search \nSize: L\nSubmission type: Paper-based\nConfidence: confirmed\nLast chec ked date: 2026-10-07\nNotes: Third annual edition\, Hilton Union Square. Ongoing conference with new-paper submissions closed\; October 9 workshop s included. Size is an editorial estimate.\nScope: Language-model foundat ions and methods: training and architecture\, data and scaling\, inferenc e and generation\, evaluation\, reasoning\, retrieval augmentation\, and tool-using language agents. Alignment\, interpretability\, and multimodal language models are meaningful extensions. A central language-model cont ribution distinguishes the conference from generic AI applications.\nAddi tional topics: Learning Theory & Statistical Foundations\, Explainability & Interpretability\, Robustness & Safety\, Fairness & Responsible AI\, M ultimedia Learning & Retrieval\nScope sources (2026): https://colm.cc/Con ferences/2026/CallForPapers\nScope last checked: 2026-10-07 URL:https://colm.cc/ LOCATION:San Francisco\, California\, USA END:VEVENT BEGIN:VEVENT UID:dsaa-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261006 DTEND;VALUE=DATE:20261010 SUMMARY:[Data Mining & Data Science][Machine Learning] DSAA 2026 - Conferen ce DESCRIPTION:Conference title: IEEE International Conference on Data Science and Advanced Analytics\nWebsite: https://dsaa-2026.vercel.app/\nSource U RL: https://dsaa.co/dsaa2026-calls-for-papers/\nLocation: New Delhi\, Ind ia\nTopics: Data Mining & Data Science\, Machine Learning\, Time Series & Sequential Data\, Human-AI Interaction & Deployment\nSize: M\nSubmission type: Paper-based / applied tracks\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: DSAA 2026 site lists conference dates\, venue\, and extended paper deadline. URL:https://dsaa.co/dsaa2026-calls-for-papers/ LOCATION:New Delhi\, India END:VEVENT BEGIN:VEVENT UID:ecir-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261005 DTEND;VALUE=DATE:20261006 SUMMARY:[Information Retrieval & Search][Recommender Systems] ECIR 2027 - F ull paper submission deadline (cutoff time unannounced) DESCRIPTION:Conference title: European Conference on Information Retrieval\ nWebsite: https://www.ecir2027.co.uk/\nSource URL: https://www.ecir2027.c o.uk/call-for-full-papers\nLocation: Southampton\, UK\nTopics: Informatio n Retrieval & Search\, Recommender Systems\, Natural Language Processing & LLMs\, LLM Agents & Tool Use\nSize: L\nSubmission type: Paper-based\nCo nfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Track-specific calls confirm paper days but no exact cutoff hour. Full/short abstract g ates are already closed\; replicability and resource papers remain indepe ndent opportunities. Resource papers report original research resources\, not camera-ready work. Size is an editorial estimate.\nScope: Informatio n retrieval and ranking\, recommendation\, conversational search and RAG\ , user information interaction\, system efficiency\, and rigorous evaluat ion. The 2027 call explicitly includes language models and agentic retrie val workflows. Replicability and research-resource papers are distinct ro utes. Fairness and explainability concern information access rather than generic responsible-AI topics.\nAdditional topics: Human-AI Interaction & Deployment\, Explainability & Interpretability\, Fairness & Responsible AI\, Multimedia Learning & Retrieval\nScope sources (2027): https://www.e cir2027.co.uk/call-for-full-papers\nScope last checked: 2026-10-07\nOffic ial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://www.ecir2027.co.uk/call-for-full-papers END:VEVENT BEGIN:VEVENT UID:ecir-2027-deadline-late-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261005 DTEND;VALUE=DATE:20261006 SUMMARY:[Information Retrieval & Search][Recommender Systems] ECIR 2027 - S hort-paper abstract deadline (cutoff time unannounced) DESCRIPTION:Conference title: European Conference on Information Retrieval\ nWebsite: https://www.ecir2027.co.uk/\nSource URL: https://www.ecir2027.c o.uk/call-for-short-papers\nLocation: Southampton\, UK\nTopics: Informati on Retrieval & Search\, Recommender Systems\, Natural Language Processing & LLMs\, LLM Agents & Tool Use\nSize: L\nSubmission type: Paper-based\nC onfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Track-specifi c calls confirm paper days but no exact cutoff hour. Full/short abstract gates are already closed\; replicability and resource papers remain indep endent opportunities. Resource papers report original research resources\ , not camera-ready work. Size is an editorial estimate.\nScope: Informati on retrieval and ranking\, recommendation\, conversational search and RAG \, user information interaction\, system efficiency\, and rigorous evalua tion. The 2027 call explicitly includes language models and agentic retri eval workflows. Replicability and research-resource papers are distinct r outes. Fairness and explainability concern information access rather than generic responsible-AI topics.\nAdditional topics: Human-AI Interaction & Deployment\, Explainability & Interpretability\, Fairness & Responsible AI\, Multimedia Learning & Retrieval\nScope sources (2027): https://www. ecir2027.co.uk/call-for-full-papers\nScope last checked: 2026-10-07\nOffi cial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://www.ecir2027.co.uk/call-for-short-papers END:VEVENT BEGIN:VEVENT UID:aistats-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261007T115900Z DTEND:20261007T125900Z SUMMARY:[Learning Theory & Statistical Foundations][Machine Learning] AISTA TS 2027 - Full paper submission deadline DESCRIPTION:Conference title: International Conference on Artificial Intell igence and Statistics\nWebsite: https://aistats.org/aistats2027/index.htm l\nSource URL: https://aistats.org/aistats2027/dates.html\nLocation: Mont real\, Quebec\, Canada\nTopics: Learning Theory & Statistical Foundations \, Machine Learning\, Probabilistic\, Causal & Uncertainty ML\, Time Seri es & Sequential Data\nSize: L\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-09-14\nNotes: Official AISTATS 2027 pa ges confirm Montreal\, May 3-6\, 2027\, and the Sep 29 abstract and Oct 6 full-paper deadlines (AoE).\nScope: Research at the interface of artific ial intelligence\, machine learning\, and statistics. Its defining emphas is is on statistical foundations and methodology for learning and inferen ce\, rather than a particular application domain. Research bridges statis tical reasoning and learning algorithms\, with archival contributions to both communities.\nAdditional topics: \nScope sources (2027): https://ais tats.org/aistats2027/\, https://aistats.org/aistats2027/call-for-papers.h tml\nScope last checked: 2026-10-07 URL:https://aistats.org/aistats2027/dates.html END:VEVENT BEGIN:VEVENT UID:ieee-biocas-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261008 DTEND;VALUE=DATE:20261011 SUMMARY:[Healthcare & Clinical AI][BCI & Neurotechnology] IEEE BioCAS 2026 - Conference DESCRIPTION:Conference title: IEEE Biomedical Circuits and Systems Conferen ce\nWebsite: https://2026.ieee-biocas.org/2026/\nSource URL: https://2026 .ieee-biocas.org/2026/\nLocation: Incheon\, South Korea\nTopics: Healthca re & Clinical AI\, BCI & Neurotechnology\, Signal Processing\, Neuromorph ic & Brain-inspired Computing\nSize: M\nSubmission type: Paper-based\nCon fidence: confirmed\nLast checked date: 2026-10-08\nNotes: Main conference October 8-10\; adjacent workshops are October 7 and 11. Reviewed accepte d papers appear in IEEE proceedings. Exact submission cutoff hour is unan nounced. Size is an editorial estimate.\nScope: Biomedical circuits\, int egrated systems and medical devices spanning biosignal acquisition and pr ocessing\, neural interfaces\, implants\, bioelectronics and low-power or on-device biomedical computation. Brain-inspired hardware and machine le arning are relevant when tied to biomedical engineering\, rather than as generic algorithms.\nAdditional topics: EEG/MEG & Neural Signals\, Machin e Learning\, ML Systems & Infrastructure\nScope sources (2026): https://2 026.ieee-biocas.org/2026/pages_submission/call_for_papers.vm\, https://20 27.ieee-biocas.org/\nScope last checked: 2026-10-08 URL:https://2026.ieee-biocas.org/2026/ LOCATION:Incheon\, South Korea END:VEVENT BEGIN:VEVENT UID:aamas-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261009T115900Z DTEND:20261009T125900Z SUMMARY:[Machine Learning][Reinforcement Learning] AAMAS 2027 - Main papers (registered abstracts only) deadline DESCRIPTION:Conference title: International Conference on Autonomous Agents and Multiagent Systems\nWebsite: https://warwick.ac.uk/fac/sci/dcs/aamas 2027/\nSource URL: https://warwick.ac.uk/fac/sci/dcs/aamas2027/calls/call -for-main-track/\nLocation: Hanoi\, Vietnam\nTopics: Machine Learning\, R einforcement Learning\, Autonomous Agents & Multiagent Systems\, Human-AI Interaction & Deployment\nSize: XL\nSubmission type: Paper-based / Blue Sky Ideas short papers\nConfidence: confirmed\nLast checked date: 2026-10 -07\nNotes: Annual flagship meeting in Hanoi. New main-track submissions are closed because the Oct 1 abstract gate has passed\, even before the O ct 8 paper cutoff. The separate four-page Blue Sky Ideas track remains a forthcoming opportunity\; author registration is announced for Oct 20 but no exact opening hour is given. Its Nov 5 gate only controls its Nov 12 short papers. AAAI fast-track and already published JAAMAS presentations are not general new-paper routes. Size XL is an editorial estimate. Histo rical acceptance covers main full papers only\, not Blue Sky Ideas or the newly introduced 2027 Findings track.\nScope: Autonomous agents and mult i-agent systems: learning and adaptation\, coordination\, game theory\, p lanning\, reasoning\, agent engineering\, and agent-based simulation. Als o covers human-agent interaction\, robot teams\, norms and governance\, a nd generative agents. The contribution should concern agents or their int eraction\; generic language-model or learning results are not automatical ly in scope.\nAdditional topics: Deep Representation Learning\, Probabili stic\, Causal & Uncertainty ML\, Control & Robotics\, Complex Systems & N etwork Science\, Ethics & Governance\, Explainability & Interpretability\ nScope sources (2027): https://warwick.ac.uk/fac/sci/dcs/aamas2027/calls/ call-for-main-track/\nScope last checked: 2026-10-07 URL:https://warwick.ac.uk/fac/sci/dcs/aamas2027/calls/call-for-main-track/ END:VEVENT BEGIN:VEVENT UID:complex-networks-2026-deadline-camera-ready@scientific-conference-calen dar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261008 DTEND;VALUE=DATE:20261009 SUMMARY:[Complex Systems & Network Science][Graphs & Graph Learning] COMPLE X NETWORKS 2026 - Camera-ready deadline (cutoff time unannounced) DESCRIPTION:Conference title: International Conference on Complex Networks and Their Applications\nWebsite: https://complexnetworks.org/\nSource URL : https://complexnetworks.org/submission/\nLocation: Granada\, Spain\nTop ics: Complex Systems & Network Science\, Graphs & Graph Learning\, Nonlin ear Dynamics & Chaos\, Data Mining & Data Science\nSize: L\nSubmission ty pe: Paper-based + extended abstracts\nConfidence: confirmed\nLast checked date: 2026-10-08\nNotes: Main conference December 2-4\; tutorials Decemb er 1. Full papers appear in Springer Studies in Computational Intelligenc e\; extended abstracts in a separate abstract book. Abstracts are an inde pendent contribution\, not a prerequisite for full papers. Production cut off hours are unannounced. Size is an editorial estimate.\nScope: Structu re\, inference and dynamics of complex networks\, including community str ucture\, multilayer and temporal networks\, spreading processes\, graph l earning and network neuroscience. Network methods\, rather than a broad i nventory of every application\, characterize the meeting. Full papers and extended abstracts have separate publication outcomes.\nAdditional topic s: Time Series & Sequential Data\, Machine Learning\, Computational Neuro science\nScope sources (2026): https://complexnetworks.org/submission/\nS cope last checked: 2026-10-08\nOfficial deadline day\; exact cutoff hour/ timezone is unannounced. Verify the organizer's submission portal. URL:https://complexnetworks.org/submission/ END:VEVENT BEGIN:VEVENT UID:dynamics-days-lac-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261010 DTEND;VALUE=DATE:20261011 SUMMARY:[Nonlinear Dynamics & Chaos][Complex Systems & Network Science] Dyn amics Days LAC 2026 - Extended contributed abstract submission deadline ( cutoff time unannounced) DESCRIPTION:Conference title: Dynamics Days Latin America and the Caribbean \nWebsite: https://fisica.ufpr.br/DDaysLAC2026/index.html\nSource URL: ht tps://fisica.ufpr.br/DDaysLAC2026/index.html\nLocation: Curitiba\, Brazil \nTopics: Nonlinear Dynamics & Chaos\, Complex Systems & Network Science\ , Time Series & Sequential Data\, Computational Neuroscience\nSize: M\nSu bmission type: Abstract-based\nConfidence: confirmed\nLast checked date: 2026-10-08\nNotes: Latest organizer cutoff is October 10. Biennial meetin g resumed in 2024 after the pandemic gap. Contributions are talk/poster a bstracts\; no current full-paper proceedings commitment verified. Exact c utoff hour is unannounced. Size is an editorial estimate.\nScope: Nonline ar and complex systems across disciplines\, including chaos\, synchroniza tion\, networks\, time series\, neurodynamics and learning-based modeling . The Latin American and Caribbean meeting supports contributed scientifi c talks and posters through abstracts\, with an explicit interest in cros s-disciplinary nonlinear science.\nAdditional topics: Machine Learning\, Graphs & Graph Learning\, Control & Robotics\nScope sources (2026): https ://fisica.ufpr.br/DDaysLAC2026/page1.html\nScope last checked: 2026-10-08 \nOfficial deadline day\; exact cutoff hour/timezone is unannounced. Veri fy the organizer's submission portal. URL:https://fisica.ufpr.br/DDaysLAC2026/index.html END:VEVENT BEGIN:VEVENT UID:aies-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261012 DTEND;VALUE=DATE:20261015 SUMMARY:[Ethics & Governance][Fairness & Responsible AI] AIES 2026 - Confer ence DESCRIPTION:Conference title: AAAI/ACM Conference on AI\, Ethics\, and Soci ety\nWebsite: https://www.aies-conference.com/2026/\nSource URL: https:// www.aies-conference.com/2026/\nLocation: Malmo\, Sweden\nTopics: Ethics & Governance\, Fairness & Responsible AI\, Explainability & Interpretabili ty\, Robustness & Safety\nSize: M\nSubmission type: Paper-based / interdi sciplinary\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official AIES 2026 pages list Malmo\, Oct 12-14\, 2026 conference dates a nd abstract/paper submission deadlines.\nScope: Ethics and societal conse quences of AI\, connecting computer science\, law and policy\, social sci ence\, and philosophy. Defining concerns include governance and power\, a ccountability after deployment\, value alignment\, fairness\, human-AI in teraction\, and institutional practice. Technical work is relevant throug h a serious ethical or societal contribution.\nAdditional topics: Human-A I Interaction & Deployment\, Privacy-preserving ML\nScope sources (2026): https://www.aies-conference.com/2026/call-for-papers/\nScope last checke d: 2026-10-07 URL:https://www.aies-conference.com/2026/ LOCATION:Malmo\, Sweden END:VEVENT BEGIN:VEVENT UID:ccs-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261012 DTEND;VALUE=DATE:20261017 SUMMARY:[Complex Systems & Network Science][Nonlinear Dynamics & Chaos] CCS 2026 - Conference DESCRIPTION:Conference title: Conference on Complex Systems\nWebsite: https ://ccs26.cssociety.org/\nSource URL: https://ccs26.cssociety.org/\nLocati on: Binghamton\, New York\, USA\nTopics: Complex Systems & Network Scienc e\, Nonlinear Dynamics & Chaos\, Data Mining & Data Science\nSize: L\nSub mission type: Abstract-based\nConfidence: confirmed\nLast checked date: 2 026-10-06\nNotes: Annual Complex Systems Society flagship\, distinct from ACM CCS (computer security)\; no ACM CCS rank applies. Main conference i s October 12-16\; October 9-10 warm-up excluded. Presentation abstracts\, not archival full papers. Deadline hour uses estimated end-of-day AoE. S ize is an editorial category. URL:https://ccs26.cssociety.org/ LOCATION:Binghamton\, New York\, USA END:VEVENT BEGIN:VEVENT UID:eacl-2027-deadline-commitment@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261012T115900Z DTEND:20261012T125900Z SUMMARY:[Natural Language Processing & LLMs][Machine Learning] EACL 2027 - EACL commitment deadline DESCRIPTION:Conference title: Conference of the European Chapter of the Ass ociation for Computational Linguistics\nWebsite: https://2027.eacl.org/\n Source URL: https://2027.eacl.org/calls/papers/\nLocation: Athens\, Greec e\nTopics: Natural Language Processing & LLMs\, Machine Learning\, Deep R epresentation Learning\, Human-AI Interaction & Deployment\nSize: XL\nSub mission type: Paper-based / ACL Rolling Review\nConfidence: confirmed\nLa st checked date: 2026-08-31\nNotes: Official EACL 2027 pages confirm the hybrid Athens meeting\, Mar 9-14\, and the ARR Aug 3 submission and Oct 1 1 commitment deadlines.\nScope: Computational linguistics and natural lan guage processing\, including language modeling\, multilingual processing\ , translation\, dialogue\, information extraction\, semantics\, and lingu istic analysis. Human-centered evaluation\, interpretability\, and bias a re relevant within language research. The reviewed 2027 theme strengthens connections to psycholinguistics and cognitive modeling\; peripheral app lication domains are not extra tags.\nAdditional topics: Explainability & Interpretability\, Fairness & Responsible AI\, Cognitive Science & Compu tational Cognition\nScope sources (2027): https://2027.eacl.org/calls/pap ers/\nScope last checked: 2026-10-07 URL:https://2027.eacl.org/calls/papers/ END:VEVENT BEGIN:VEVENT UID:ifac-sysid-2027-deadline-journal-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261011 DTEND;VALUE=DATE:20261012 SUMMARY:[System Identification & Data-driven Dynamics][Control & Robotics] IFAC SYSID 2027 - Joint journal/conference submission (cutoff time unanno unced) DESCRIPTION:Conference title: IFAC Symposium on System Identification\nWebs ite: https://conferences.ifac-control.org/sysid2027/\nSource URL: https:/ /conferences.ifac-control.org/sysid2027/participate/\nLocation: Lyon\, Fr ance\nTopics: System Identification & Data-driven Dynamics\, Control & Ro botics\, Time Series & Sequential Data\, Machine Learning\nSize: M\nSubmi ssion type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-1 0-06\nNotes: Triennial TC 1.1 symposium. Regular papers\, joint journal p apers\, and dissemination/discussion routes have distinct requirements\; consult the call. Published deadline days are confirmed but cutoff hours use estimated end-of-day AoE. Size is an editorial category.\nScope: Syst em identification and data-driven modeling for dynamical systems and cont rol. Characteristic themes include nonlinear identification\, model reduc tion\, identification software and benchmarks\, learning across systems\, and dynamic networks. Application tracks remain grounded in identifying or learning dynamical models\, rather than becoming general-purpose domai n conferences.\nAdditional topics: Nonlinear Dynamics & Chaos\, Complex S ystems & Network Science\nScope sources (2027): https://conferences.ifac- control.org/sysid2027/participate/\nScope last checked: 2026-10-07\nOffic ial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://conferences.ifac-control.org/sysid2027/participate/ END:VEVENT BEGIN:VEVENT UID:coling-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261013T115900Z DTEND:20261013T125900Z SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] COLING 2027 - ARR paper submission deadline DESCRIPTION:Conference title: International Conference on Computational Lin guistics\nWebsite: https://2027.coling-iccl.org/\nSource URL: https://202 7.coling-iccl.org/calls/main_conference_papers/\nLocation: Macau\, China\ nTopics: Natural Language Processing & LLMs\, Deep Representation Learnin g\, Knowledge Representation & Reasoning\, LLM Agents & Tool Use\nSize: X L\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date : 2026-10-07\nNotes: Main in-person window May 9-14\; separate virtual se ssions May 6-7. Shared ARR cycle with NAACL does not permit dual commitme nt. Recent COLING cadence is irregular\; no automatic annual forecast. Si ze is an editorial estimate.\nScope: Computational linguistics and langua ge processing spanning linguistic theory\, multilinguality\, semantics an d structured prediction\, language models\, dialogue\, and empirical eval uation. Agentic language systems and knowledge-grounded NLP are relevant\ ; the defining contribution should concern language\, not a peripheral ap plication domain.\nAdditional topics: Information Retrieval & Search\, Co gnitive Science & Computational Cognition\, Explainability & Interpretabi lity\, Fairness & Responsible AI\nScope sources (2027): https://2027.coli ng-iccl.org/calls/main_conference_papers/\nScope last checked: 2026-10-07 URL:https://2027.coling-iccl.org/calls/main_conference_papers/ END:VEVENT BEGIN:VEVENT UID:corl-2026-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261013T115900Z DTEND:20261013T125900Z SUMMARY:[Machine Learning][Control & Robotics] CoRL 2026 - Camera-ready dea dline DESCRIPTION:Conference title: Conference on Robot Learning\nWebsite: https: //www.corl.org/\nSource URL: https://www.corl.org/contributions/instructi on-for-authors\nLocation: Austin\, Texas\, USA\nTopics: Machine Learning\ , Control & Robotics\, Reinforcement Learning\, Deep Representation Learn ing\nSize: L\nSubmission type: Paper-based\nConfidence: confirmed\nLast c hecked date: 2026-10-07\nNotes: Tenth annual edition\; main conference No v 9-11 and workshops Nov 12. OpenReview's May 26/29 at 11:59 UTC correspo nd to May 25/28 at 23:59 AoE\, consistent with the author instructions' T hursday May 28 cutoff. Abstract registration is mandatory. Satellite work shop papers are not main-track opportunities. ICORE 2026 lists CoRL as Un ranked\, not A/A*/B/C. Size L is an editorial estimate.\nScope: Machine l earning for physical robots\, especially imitation and reinforcement lear ning\, learned perception and control\, robot foundation models\, and lea rning-based task and motion planning. Includes uncertainty\, generalizati on\, safety\, human-robot interaction\, and datasets grounded in manipula tion\, navigation\, or locomotion. General ML is relevant when it makes a substantive contribution to robot learning.\nAdditional topics: Computer Vision & Pattern Recognition\, Probabilistic\, Causal & Uncertainty ML\, Human-AI Interaction & Deployment\, Robustness & Safety\, Learning Theor y & Statistical Foundations\nScope sources (2026): https://www.corl.org/c ontributions/call-for-papers\nScope last checked: 2026-10-07 URL:https://www.corl.org/contributions/instruction-for-authors END:VEVENT BEGIN:VEVENT UID:ecir-2027-deadline-extended-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261012 DTEND;VALUE=DATE:20261013 SUMMARY:[Information Retrieval & Search][Recommender Systems] ECIR 2027 - R eplicability-paper abstract deadline (cutoff time unannounced) DESCRIPTION:Conference title: European Conference on Information Retrieval\ nWebsite: https://www.ecir2027.co.uk/\nSource URL: https://www.ecir2027.c o.uk/call-for-reproducibility-papers\nLocation: Southampton\, UK\nTopics: Information Retrieval & Search\, Recommender Systems\, Natural Language Processing & LLMs\, LLM Agents & Tool Use\nSize: L\nSubmission type: Pape r-based\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Tra ck-specific calls confirm paper days but no exact cutoff hour. Full/short abstract gates are already closed\; replicability and resource papers re main independent opportunities. Resource papers report original research resources\, not camera-ready work. Size is an editorial estimate.\nScope: Information retrieval and ranking\, recommendation\, conversational sear ch and RAG\, user information interaction\, system efficiency\, and rigor ous evaluation. The 2027 call explicitly includes language models and age ntic retrieval workflows. Replicability and research-resource papers are distinct routes. Fairness and explainability concern information access r ather than generic responsible-AI topics.\nAdditional topics: Human-AI In teraction & Deployment\, Explainability & Interpretability\, Fairness & R esponsible AI\, Multimedia Learning & Retrieval\nScope sources (2027): ht tps://www.ecir2027.co.uk/call-for-full-papers\nScope last checked: 2026-1 0-07\nOfficial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://www.ecir2027.co.uk/call-for-reproducibility-papers END:VEVENT BEGIN:VEVENT UID:ecir-2027-deadline-short-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261012 DTEND;VALUE=DATE:20261013 SUMMARY:[Information Retrieval & Search][Recommender Systems] ECIR 2027 - S hort paper submission deadline (cutoff time unannounced) DESCRIPTION:Conference title: European Conference on Information Retrieval\ nWebsite: https://www.ecir2027.co.uk/\nSource URL: https://www.ecir2027.c o.uk/call-for-short-papers\nLocation: Southampton\, UK\nTopics: Informati on Retrieval & Search\, Recommender Systems\, Natural Language Processing & LLMs\, LLM Agents & Tool Use\nSize: L\nSubmission type: Paper-based\nC onfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Track-specifi c calls confirm paper days but no exact cutoff hour. Full/short abstract gates are already closed\; replicability and resource papers remain indep endent opportunities. Resource papers report original research resources\ , not camera-ready work. Size is an editorial estimate.\nScope: Informati on retrieval and ranking\, recommendation\, conversational search and RAG \, user information interaction\, system efficiency\, and rigorous evalua tion. The 2027 call explicitly includes language models and agentic retri eval workflows. Replicability and research-resource papers are distinct r outes. Fairness and explainability concern information access rather than generic responsible-AI topics.\nAdditional topics: Human-AI Interaction & Deployment\, Explainability & Interpretability\, Fairness & Responsible AI\, Multimedia Learning & Retrieval\nScope sources (2027): https://www. ecir2027.co.uk/call-for-full-papers\nScope last checked: 2026-10-07\nOffi cial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://www.ecir2027.co.uk/call-for-short-papers END:VEVENT BEGIN:VEVENT UID:naacl-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261013T115900Z DTEND:20261013T125900Z SUMMARY:[Natural Language Processing & LLMs][LLM Agents & Tool Use] NAACL 2 027 - ARR paper submission deadline DESCRIPTION:Conference title: Conference of the Nations of the Americas Cha pter of the Association for Computational Linguistics\nWebsite: https://2 027.naacl.org/\nSource URL: https://2027.naacl.org/calls/main_conference_ papers/\nLocation: San Francisco\, California\, USA\nTopics: Natural Lang uage Processing & LLMs\, LLM Agents & Tool Use\, Information Retrieval & Search\, Deep Representation Learning\nSize: XL\nSubmission type: Paper-b ased\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Former ly North American Chapter\; retains NAACL acronym. Shares October ARR cyc le with COLING\, but authors may commit to only one primary venue. Commit ment is not a fresh-paper route. Size is an editorial estimate.\nScope: L anguage technologies and computational linguistics across the Americas co mmunity\, covering multilingual and low-resource NLP\, language models\, dialogue\, retrieval\, evaluation\, and linguistic analysis. The 2027 the me concerns language as a medium for agentic communication\, not merely r unning multiple models. General application domains are not standalone sp ecialist tags.\nAdditional topics: Autonomous Agents & Multiagent Systems \, Cognitive Science & Computational Cognition\, Fairness & Responsible A I\, Robustness & Safety\, Human-AI Interaction & Deployment\nScope source s (2027): https://2027.naacl.org/calls/main_conference_papers/\nScope las t checked: 2026-10-07 URL:https://2027.naacl.org/calls/main_conference_papers/ END:VEVENT BEGIN:VEVENT UID:complex-networks-2026-deadline-registration@scientific-conference-calen dar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261015 DTEND;VALUE=DATE:20261016 SUMMARY:[Complex Systems & Network Science][Graphs & Graph Learning] COMPLE X NETWORKS 2026 - Author registration deadline (cutoff time unannounced) DESCRIPTION:Conference title: International Conference on Complex Networks and Their Applications\nWebsite: https://complexnetworks.org/\nSource URL : https://complexnetworks.org/submission/\nLocation: Granada\, Spain\nTop ics: Complex Systems & Network Science\, Graphs & Graph Learning\, Nonlin ear Dynamics & Chaos\, Data Mining & Data Science\nSize: L\nSubmission ty pe: Paper-based + extended abstracts\nConfidence: confirmed\nLast checked date: 2026-10-08\nNotes: Main conference December 2-4\; tutorials Decemb er 1. Full papers appear in Springer Studies in Computational Intelligenc e\; extended abstracts in a separate abstract book. Abstracts are an inde pendent contribution\, not a prerequisite for full papers. Production cut off hours are unannounced. Size is an editorial estimate.\nScope: Structu re\, inference and dynamics of complex networks\, including community str ucture\, multilayer and temporal networks\, spreading processes\, graph l earning and network neuroscience. Network methods\, rather than a broad i nventory of every application\, characterize the meeting. Full papers and extended abstracts have separate publication outcomes.\nAdditional topic s: Time Series & Sequential Data\, Machine Learning\, Computational Neuro science\nScope sources (2026): https://complexnetworks.org/submission/\nS cope last checked: 2026-10-08\nOfficial deadline day\; exact cutoff hour/ timezone is unannounced. Verify the organizer's submission portal. URL:https://complexnetworks.org/submission/ END:VEVENT BEGIN:VEVENT UID:log-2026-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261016T115900Z DTEND:20261016T125900Z SUMMARY:[Machine Learning][Deep Representation Learning] LoG 2026 - Camera- ready deadline DESCRIPTION:Conference title: Learning on Graphs Conference\nWebsite: https ://logconference.org/\nSource URL: https://logconference.org/cfp/\nLocati on: Boston\, Massachusetts\, USA\nTopics: Machine Learning\, Deep Represe ntation Learning\, Graphs & Graph Learning\, Learning Theory & Statistica l Foundations\nSize: M\nSubmission type: Paper-based / non-archival exten ded abstracts\nConfidence: confirmed\nLast checked date: 2026-10-07\nNote s: Fifth annual edition\, in person at Northeastern University. Extended Aug 5/7 deadlines replace the struck-through July 29/Aug 1 dates. Proceed ings papers and non-archival extended abstracts share the registration an d final submission cutoffs\, represented as one route. The TMLR presentat ion track requires an already published paper\, so it is not a new-paper opportunity. LoG is distinct from LOD/AIS. Size M is an editorial estimat e.\nScope: Learning on graphs and geometry: graph neural networks\, equiv ariant models\, graph kernels\, geometric and graph generative models\, a nd statistical theory for structured data. Graph signal processing\, caus al graph models\, robustness\, and scalable graph-learning infrastructure are meaningful extensions. A graph or geometric contribution should rema in central\, even in an application such as language or molecular modelin g.\nAdditional topics: Complex Systems & Network Science\, Probabilistic\ , Causal & Uncertainty ML\, Signal Processing\, Robustness & Safety\, ML Systems & Infrastructure\nScope sources (2026): https://logconference.org /cfp/\nScope last checked: 2026-10-07 URL:https://logconference.org/cfp/ END:VEVENT BEGIN:VEVENT UID:acc-2027-deadline-workshop@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261016 DTEND;VALUE=DATE:20261017 SUMMARY:[Control & Robotics][System Identification & Data-driven Dynamics] ACC 2027 - Workshop proposals (cutoff time unannounced) DESCRIPTION:Conference title: American Control Conference\nWebsite: https:/ /acc2027.a2c2.org/\nSource URL: https://acc2027.a2c2.org/\nLocation: Phil adelphia\, Pennsylvania\, USA\nTopics: Control & Robotics\, System Identi fication & Data-driven Dynamics\, Reinforcement Learning\nSize: XL\nSubmi ssion type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-1 0-06\nNotes: Annual AACC meeting. The firm regular-paper extension is Oct ober 2\, not the older September 25 CFP date. Later tutorial papers depen d on an accepted tutorial session and are not an unrestricted new-paper r oute. Cutoff hours use estimated end-of-day AoE. Size is an editorial cat egory.\nOfficial deadline day\; exact cutoff hour/timezone is unannounced . Verify the organizer's submission portal. URL:https://acc2027.a2c2.org/ END:VEVENT BEGIN:VEVENT UID:complenet-2027-deadline-extended-abstract@scientific-conference-calenda r DTSTAMP:19700101T000000Z DTSTART:20261018T115900Z DTEND:20261018T125900Z SUMMARY:[Complex Systems & Network Science][Graphs & Graph Learning] Comple Net 2027 - Extended abstract submission deadline (independent route) DESCRIPTION:Conference title: International Conference on Complex Networks\ nWebsite: https://complenet.github.io/\nSource URL: https://complenet.git hub.io/cfp.html\nLocation: Rochester\, New York\, USA\nTopics: Complex Sy stems & Network Science\, Graphs & Graph Learning\, Nonlinear Dynamics & Chaos\, Computational Neuroscience\nSize: M\nSubmission type: Full/short papers + extended abstracts\nConfidence: confirmed\nLast checked date: 20 26-10-08\nNotes: University of Rochester host. Reviewed long and short pa pers appear in Springer Complexity\; the abstract-only route does not pro duce a proceedings paper. All three routes share the AoE deadline\, with no mandatory abstract-registration gate. Size is an editorial estimate.\n Scope: Network science across mathematical\, biological\, technological a nd social systems\, with characteristic interests in network dynamics\, c ommunity structure\, temporal and multilayer networks\, network neuroscie nce and learning on networks. Long and short reviewed papers are distinct from abstract-only presentations.\nAdditional topics: Time Series & Sequ ential Data\, Data Mining & Data Science\, Machine Learning\nScope source s (2027): https://complenet.github.io/cfp.html\nScope last checked: 2026- 10-08 URL:https://complenet.github.io/cfp.html END:VEVENT BEGIN:VEVENT UID:complenet-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261018T115900Z DTEND:20261018T125900Z SUMMARY:[Complex Systems & Network Science][Graphs & Graph Learning] Comple Net 2027 - Long-paper submission deadline DESCRIPTION:Conference title: International Conference on Complex Networks\ nWebsite: https://complenet.github.io/\nSource URL: https://complenet.git hub.io/cfp.html\nLocation: Rochester\, New York\, USA\nTopics: Complex Sy stems & Network Science\, Graphs & Graph Learning\, Nonlinear Dynamics & Chaos\, Computational Neuroscience\nSize: M\nSubmission type: Full/short papers + extended abstracts\nConfidence: confirmed\nLast checked date: 20 26-10-08\nNotes: University of Rochester host. Reviewed long and short pa pers appear in Springer Complexity\; the abstract-only route does not pro duce a proceedings paper. All three routes share the AoE deadline\, with no mandatory abstract-registration gate. Size is an editorial estimate.\n Scope: Network science across mathematical\, biological\, technological a nd social systems\, with characteristic interests in network dynamics\, c ommunity structure\, temporal and multilayer networks\, network neuroscie nce and learning on networks. Long and short reviewed papers are distinct from abstract-only presentations.\nAdditional topics: Time Series & Sequ ential Data\, Data Mining & Data Science\, Machine Learning\nScope source s (2027): https://complenet.github.io/cfp.html\nScope last checked: 2026- 10-08 URL:https://complenet.github.io/cfp.html END:VEVENT BEGIN:VEVENT UID:complenet-2027-deadline-short-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261018T115900Z DTEND:20261018T125900Z SUMMARY:[Complex Systems & Network Science][Graphs & Graph Learning] Comple Net 2027 - Short-paper submission deadline (independent route) DESCRIPTION:Conference title: International Conference on Complex Networks\ nWebsite: https://complenet.github.io/\nSource URL: https://complenet.git hub.io/cfp.html\nLocation: Rochester\, New York\, USA\nTopics: Complex Sy stems & Network Science\, Graphs & Graph Learning\, Nonlinear Dynamics & Chaos\, Computational Neuroscience\nSize: M\nSubmission type: Full/short papers + extended abstracts\nConfidence: confirmed\nLast checked date: 20 26-10-08\nNotes: University of Rochester host. Reviewed long and short pa pers appear in Springer Complexity\; the abstract-only route does not pro duce a proceedings paper. All three routes share the AoE deadline\, with no mandatory abstract-registration gate. Size is an editorial estimate.\n Scope: Network science across mathematical\, biological\, technological a nd social systems\, with characteristic interests in network dynamics\, c ommunity structure\, temporal and multilayer networks\, network neuroscie nce and learning on networks. Long and short reviewed papers are distinct from abstract-only presentations.\nAdditional topics: Time Series & Sequ ential Data\, Data Mining & Data Science\, Machine Learning\nScope source s (2027): https://complenet.github.io/cfp.html\nScope last checked: 2026- 10-08 URL:https://complenet.github.io/cfp.html END:VEVENT BEGIN:VEVENT UID:sab-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261019 DTEND;VALUE=DATE:20261023 SUMMARY:[Artificial Life & Adaptive Systems][Computational Neuroscience] SA B 2026 - Conference DESCRIPTION:Conference title: International Conference on Simulation of Ada ptive Behavior\nWebsite: https://sab-conference.org/\nSource URL: https:/ /sab-conference.org/\nLocation: Berlin\, Germany\nTopics: Artificial Life & Adaptive Systems\, Computational Neuroscience\, Cognitive Science & Co mputational Cognition\, Control & Robotics\nSize: M\nSubmission type: Rev iewed papers + non-archival contributions\nConfidence: confirmed\nLast ch ecked date: 2026-10-08\nNotes: Biennial ISAB conference. Reviewed track-1 papers appear in Springer LNAI\; the other tracks include non-archival p apers\, poster abstracts and position papers. The stated submission cutof f is Pacific Time\, not AoE\; May 15 uses daylight time. Size is an edito rial estimate.\nScope: Understanding adaptive behavior through biological and artificial agents\, including embodied cognition\, neural and comput ational models\, robotics\, learning\, evolution and collective behavior. The biennial ISAB meeting combines archival proceedings papers with deli berately non-archival contributions and poster abstracts.\nAdditional top ics: Machine Learning\, Reinforcement Learning\, Autonomous Agents & Mult iagent Systems\nScope sources (2026): https://sab-conference.org/call-for -contributions/\nScope last checked: 2026-10-08 URL:https://sab-conference.org/ LOCATION:Berlin\, Germany END:VEVENT BEGIN:VEVENT UID:cosyne-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261019T115900Z DTEND:20261019T125900Z SUMMARY:[Computational Neuroscience][EEG/MEG & Neural Signals] COSYNE 2027 - Abstract submission deadline DESCRIPTION:Conference title: Computational and Systems Neuroscience\nWebsi te: https://www.cosyne.org/\nSource URL: https://www.cosyne.org/abstracts -submission\nLocation: Montreal\, Canada\nTopics: Computational Neuroscie nce\, EEG/MEG & Neural Signals\, Machine Learning\, Deep Representation L earning\nSize: L\nSubmission type: Abstract-based / talks highly selectiv e\nConfidence: confirmed\nLast checked date: 2026-10-06\nNotes: Official COSYNE 2027 pages confirm Montreal\, Mar 11-16\, and the Oct 18 abstract submission deadline. The abstract submission link was live on Oct 6. URL:https://www.cosyne.org/abstracts-submission END:VEVENT BEGIN:VEVENT UID:www-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261019T115900Z DTEND:20261019T125900Z SUMMARY:[Information Retrieval & Search][Recommender Systems] WWW 2027 - Fu ll-paper abstract deadline DESCRIPTION:Conference title: ACM Web Conference (formerly International Wo rld Wide Web Conference)\nWebsite: https://www2027.thewebconf.org/\nSourc e URL: https://www2027.thewebconf.org/research-track-papers/\nLocation: D ublin\, Ireland\nTopics: Information Retrieval & Search\, Recommender Sys tems\, Graphs & Graph Learning\, LLM Agents & Tool Use\nSize: XL\nSubmiss ion type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-10- 07\nNotes: Official homepage states full and short paper portals are open \; separate mandatory abstract gates. Research must substantively address the Web\, not merely use a web dataset. Preserve WWW as the stable serie s alias. Size is an editorial estimate.\nScope: Research on the Web as in frastructure and a socio-technical ecosystem. Characteristic ML-facing tr acks include search and recommendation\, retrieval-augmented and agentic information access\, graph learning\, and semantic knowledge. Responsible Web and privacy research are substantive strands. Merely using a web dat aset or API is explicitly insufficient topical relevance.\nAdditional top ics: Knowledge Representation & Reasoning\, Data Mining & Data Science\, Fairness & Responsible AI\, Privacy-preserving ML\, Ethics & Governance\n Scope sources (2027): https://www2027.thewebconf.org/research-track-paper s/\nScope last checked: 2026-10-07 URL:https://www2027.thewebconf.org/research-track-papers/ END:VEVENT BEGIN:VEVENT UID:ecir-2027-deadline-regular-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261019 DTEND;VALUE=DATE:20261020 SUMMARY:[Information Retrieval & Search][Recommender Systems] ECIR 2027 - R eplicability paper submission deadline (cutoff time unannounced) DESCRIPTION:Conference title: European Conference on Information Retrieval\ nWebsite: https://www.ecir2027.co.uk/\nSource URL: https://www.ecir2027.c o.uk/call-for-reproducibility-papers\nLocation: Southampton\, UK\nTopics: Information Retrieval & Search\, Recommender Systems\, Natural Language Processing & LLMs\, LLM Agents & Tool Use\nSize: L\nSubmission type: Pape r-based\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Tra ck-specific calls confirm paper days but no exact cutoff hour. Full/short abstract gates are already closed\; replicability and resource papers re main independent opportunities. Resource papers report original research resources\, not camera-ready work. Size is an editorial estimate.\nScope: Information retrieval and ranking\, recommendation\, conversational sear ch and RAG\, user information interaction\, system efficiency\, and rigor ous evaluation. The 2027 call explicitly includes language models and age ntic retrieval workflows. Replicability and research-resource papers are distinct routes. Fairness and explainability concern information access r ather than generic responsible-AI topics.\nAdditional topics: Human-AI In teraction & Deployment\, Explainability & Interpretability\, Fairness & R esponsible AI\, Multimedia Learning & Retrieval\nScope sources (2027): ht tps://www.ecir2027.co.uk/call-for-full-papers\nScope last checked: 2026-1 0-07\nOfficial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://www.ecir2027.co.uk/call-for-reproducibility-papers END:VEVENT BEGIN:VEVENT UID:fg-2027-deadline-workshop@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261021T115900Z DTEND:20261021T125900Z SUMMARY:[Biometrics & Human Sensing][Computer Vision & Pattern Recognition] FG 2027 - Workshop and tutorial proposal deadline DESCRIPTION:Conference title: IEEE International Conference on Automatic Fa ce and Gesture Recognition\nWebsite: https://fg2027.ieee-biometrics.org/\ nSource URL: https://fg2027.ieee-biometrics.org/dates/\nLocation: Marrake sh\, Morocco\nTopics: Biometrics & Human Sensing\, Computer Vision & Patt ern Recognition\, Deep Representation Learning\, Machine Learning\nSize: M\nSubmission type: Long and short papers / face\, gesture\, and body rec ognition\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Of ficial CFP and dates page updated October 5 extend the abstract and paper deadlines to October 23 and 30\, replacing October 9 and 16. Cutoffs are AoE. Full event includes April 26/30 workshops\; main sessions are April 27-29. CMT opening is announced for September 25 without an exact hour\; no portal-open observation is fabricated. M is an editorial estimate.\nS cope: Face\, gesture\, body movement\, and human behavior from images and video\, including detection\, tracking\, recognition\, facial expression and affect\, pose and action analysis\, and soft biometrics. Characteris tic methods include advanced visual learning\, generative modeling and ne ural rendering\, multimodal fusion\, and evaluation across demographic an d acquisition conditions. Bias\, interpretability\, and robust recognitio n are directly tied to human sensing rather than generic application tags .\nAdditional topics: Robustness & Safety\, Fairness & Responsible AI\, C omputer Graphics & Visualization\, Explainability & Interpretability\nSco pe sources (2027): https://fg2027.ieee-biometrics.org/call-for-papers/\nS cope last checked: 2026-10-07 URL:https://fg2027.ieee-biometrics.org/dates/ END:VEVENT BEGIN:VEVENT UID:iccn-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261022 DTEND;VALUE=DATE:20261026 SUMMARY:[Computational Neuroscience][Cognitive Science & Computational Cogn ition] ICCN 2026 - Conference (estimated) DESCRIPTION:Conference title: International Conference on Cognitive Neurody namics\nWebsite: https://iccn2026.jp/\nSource URL: https://iccn2026.jp/\n Location: Osaka\, Japan\nTopics: Computational Neuroscience\, Cognitive S cience & Computational Cognition\, Nonlinear Dynamics & Chaos\, Complex S ystems & Network Science\nSize: M\nSubmission type: Abstract-based\; publ ication unconfirmed\nConfidence: estimated\nLast checked date: 2026-10-08 \nNotes: The organizer page body lists October 22-25\, while its metadata says October 27-30\, and the live domain was unreachable on review. Date s remain provisional pending organizer confirmation. No submission deadli ne or current proceedings promise was verified. Earlier editions have Spr inger edited proceedings\; do not confuse this series with clinical neuro physiology congresses also abbreviated ICCN. Size is an editorial estimat e.\nScope: Cognitive neurodynamics and the relation between neural dynami cs\, computation\, cognition and behavior. The meeting connects theoretic al and computational neuroscience with nonlinear dynamics and complex neu ral systems. Current submission and publication details require organizer confirmation\; historical edited proceedings are not a guarantee for 202 6.\nAdditional topics: Systems & Experimental Neuroscience\nScope sources (2026): https://iccn2026.jp/\, https://link.springer.com/book/10.1007/97 8-981-16-0317-4\nScope last checked: 2026-10-08 URL:https://iccn2026.jp/ LOCATION:Osaka\, Japan END:VEVENT BEGIN:VEVENT UID:emnlp-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261024 DTEND;VALUE=DATE:20261030 SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] EMNLP 2026 - Conference DESCRIPTION:Conference title: Conference on Empirical Methods in Natural La nguage Processing\nWebsite: https://2026.emnlp.org/\nSource URL: https:// 2026.emnlp.org/\nLocation: Budapest\, Hungary\nTopics: Natural Language P rocessing & LLMs\, Deep Representation Learning\, LLM Agents & Tool Use\, Information Retrieval & Search\nSize: XXL\nSubmission type: Paper-based\ nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: ARR fresh-p aper submissions are closed. Commitment is only for reviewed papers and i s not a new-paper route. Full conference window includes workshops. Size is an editorial estimate.\nScope: Empirical methods for language modeling and NLP\, including generation\, information extraction\, multilingualit y\, dialogue\, retrieval\, and model evaluation. Interpretability\, bias\ , and safety matter within language systems. Curated coverage emphasizes language methods and evidence rather than every application listed in the CFP.\nAdditional topics: Explainability & Interpretability\, Fairness & Responsible AI\, Robustness & Safety\, Human-AI Interaction & Deployment\ nScope sources (2026): https://2026.emnlp.org/calls/main_conference_paper s/\nScope last checked: 2026-10-07 URL:https://2026.emnlp.org/ LOCATION:Budapest\, Hungary END:VEVENT BEGIN:VEVENT UID:acc-2027-deadline-tutorial-proposal@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261023 DTEND;VALUE=DATE:20261024 SUMMARY:[Control & Robotics][System Identification & Data-driven Dynamics] ACC 2027 - Tutorial session proposals (cutoff time unannounced) DESCRIPTION:Conference title: American Control Conference\nWebsite: https:/ /acc2027.a2c2.org/\nSource URL: https://acc2027.a2c2.org/\nLocation: Phil adelphia\, Pennsylvania\, USA\nTopics: Control & Robotics\, System Identi fication & Data-driven Dynamics\, Reinforcement Learning\nSize: XL\nSubmi ssion type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-1 0-06\nNotes: Annual AACC meeting. The firm regular-paper extension is Oct ober 2\, not the older September 25 CFP date. Later tutorial papers depen d on an accepted tutorial session and are not an unrestricted new-paper r oute. Cutoff hours use estimated end-of-day AoE. Size is an editorial cat egory.\nOfficial deadline day\; exact cutoff hour/timezone is unannounced . Verify the organizer's submission portal. URL:https://acc2027.a2c2.org/ END:VEVENT BEGIN:VEVENT UID:fg-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261024T115900Z DTEND:20261024T125900Z SUMMARY:[Biometrics & Human Sensing][Computer Vision & Pattern Recognition] FG 2027 - Extended main and special-session abstract deadline DESCRIPTION:Conference title: IEEE International Conference on Automatic Fa ce and Gesture Recognition\nWebsite: https://fg2027.ieee-biometrics.org/\ nSource URL: https://fg2027.ieee-biometrics.org/dates/\nLocation: Marrake sh\, Morocco\nTopics: Biometrics & Human Sensing\, Computer Vision & Patt ern Recognition\, Deep Representation Learning\, Machine Learning\nSize: M\nSubmission type: Long and short papers / face\, gesture\, and body rec ognition\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Of ficial CFP and dates page updated October 5 extend the abstract and paper deadlines to October 23 and 30\, replacing October 9 and 16. Cutoffs are AoE. Full event includes April 26/30 workshops\; main sessions are April 27-29. CMT opening is announced for September 25 without an exact hour\; no portal-open observation is fabricated. M is an editorial estimate.\nS cope: Face\, gesture\, body movement\, and human behavior from images and video\, including detection\, tracking\, recognition\, facial expression and affect\, pose and action analysis\, and soft biometrics. Characteris tic methods include advanced visual learning\, generative modeling and ne ural rendering\, multimodal fusion\, and evaluation across demographic an d acquisition conditions. Bias\, interpretability\, and robust recognitio n are directly tied to human sensing rather than generic application tags .\nAdditional topics: Robustness & Safety\, Fairness & Responsible AI\, C omputer Graphics & Visualization\, Explainability & Interpretability\nSco pe sources (2027): https://fg2027.ieee-biometrics.org/call-for-papers/\nS cope last checked: 2026-10-07 URL:https://fg2027.ieee-biometrics.org/dates/ END:VEVENT BEGIN:VEVENT UID:iswc-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261025 DTEND;VALUE=DATE:20261030 SUMMARY:[Knowledge Representation & Reasoning][Graphs & Graph Learning] ISW C 2026 - Conference DESCRIPTION:Conference title: International Semantic Web Conference\nWebsit e: https://iswc2026.semanticweb.org/\nSource URL: https://iswc2026.semant icweb.org/\nLocation: Bari\, Italy\nTopics: Knowledge Representation & Re asoning\, Graphs & Graph Learning\, Data Mining & Data Science\, Informat ion Retrieval & Search\nSize: M\nSubmission type: Paper-based\nConfidence : confirmed\nLast checked date: 2026-10-07\nNotes: Semantic Web ISWC\, no t IEEE Symposium on Wearable Computers. Official JavaScript-rendered date table specifies 23:59 AoE\; main sessions October 27-29 after workshops/ tutorials. Size is an editorial estimate.\nScope: Semantic Web and linked -data research: ontologies\, knowledge graphs\, representation and reason ing\, semantic integration\, querying\, and knowledge-supported AI. Graph learning is relevant through semantic data and knowledge structures\; th is is not the IEEE wearable-computing symposium with the same acronym.\nA dditional topics: Machine Learning\, Explainability & Interpretability\nS cope sources (2026): https://iswc2026.semanticweb.org/calls/research\nSco pe last checked: 2026-10-07 URL:https://iswc2026.semanticweb.org/ LOCATION:Bari\, Italy END:VEVENT BEGIN:VEVENT UID:www-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261026T115900Z DTEND:20261026T125900Z SUMMARY:[Information Retrieval & Search][Recommender Systems] WWW 2027 - Fu ll paper submission deadline DESCRIPTION:Conference title: ACM Web Conference (formerly International Wo rld Wide Web Conference)\nWebsite: https://www2027.thewebconf.org/\nSourc e URL: https://www2027.thewebconf.org/research-track-papers/\nLocation: D ublin\, Ireland\nTopics: Information Retrieval & Search\, Recommender Sys tems\, Graphs & Graph Learning\, LLM Agents & Tool Use\nSize: XL\nSubmiss ion type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-10- 07\nNotes: Official homepage states full and short paper portals are open \; separate mandatory abstract gates. Research must substantively address the Web\, not merely use a web dataset. Preserve WWW as the stable serie s alias. Size is an editorial estimate.\nScope: Research on the Web as in frastructure and a socio-technical ecosystem. Characteristic ML-facing tr acks include search and recommendation\, retrieval-augmented and agentic information access\, graph learning\, and semantic knowledge. Responsible Web and privacy research are substantive strands. Merely using a web dat aset or API is explicitly insufficient topical relevance.\nAdditional top ics: Knowledge Representation & Reasoning\, Data Mining & Data Science\, Fairness & Responsible AI\, Privacy-preserving ML\, Ethics & Governance\n Scope sources (2027): https://www2027.thewebconf.org/research-track-paper s/\nScope last checked: 2026-10-07 URL:https://www2027.thewebconf.org/research-track-papers/ END:VEVENT BEGIN:VEVENT UID:isbi-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261027T035900Z DTEND:20261027T045900Z SUMMARY:[Biomedical Imaging][Signal Processing] ISBI 2027 - 4-page paper su bmission deadline DESCRIPTION:Conference title: IEEE International Symposium on Biomedical Im aging\nWebsite: https://biomedicalimaging.org/2027/\nSource URL: https:// biomedicalimaging.org/2027/\nLocation: Lausanne\, Switzerland\nTopics: Bi omedical Imaging\, Signal Processing\, Healthcare & Clinical AI\, Machine Learning\nSize: L\nSubmission type: Paper-based\nConfidence: confirmed\n Last checked date: 2026-10-06\nNotes: Official ISBI 2027 page lists Lausa nne\, May 25-28\, and the four-page paper and one-page abstract deadlines . The paper submission link was live on Oct 6. URL:https://biomedicalimaging.org/2027/ END:VEVENT BEGIN:VEVENT UID:siam-ds-2027-deadline-minisymposium@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261027T035900Z DTEND:20261027T045900Z SUMMARY:[Nonlinear Dynamics & Chaos][Complex Systems & Network Science] SIA M DS 2027 - Minisymposium proposals DESCRIPTION:Conference title: SIAM Conference on Applications of Dynamical Systems\nWebsite: https://www.siam.org/conferences-events/siam-conference s/ds27/\nSource URL: https://www.siam.org/conferences-events/siam-confere nces/ds27/submissions/\nLocation: Atlanta\, Georgia\, USA\nTopics: Nonlin ear Dynamics & Chaos\, Complex Systems & Network Science\, System Identif ication & Data-driven Dynamics\, Machine Learning\nSize: L\nSubmission ty pe: Abstract-based\nConfidence: confirmed\nLast checked date: 2026-10-06\ nNotes: Biennial SIAM dynamical-systems meeting. Submissions are presenta tion abstracts\, not archival full papers. Official deadlines specify 11: 59 pm Eastern Time\, accounting for daylight saving. Size is an editorial category. URL:https://www.siam.org/conferences-events/siam-conferences/ds27/submissio ns/ END:VEVENT BEGIN:VEVENT UID:acm-facct-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261028T115900Z DTEND:20261028T125900Z SUMMARY:[Fairness & Responsible AI][Explainability & Interpretability] ACM FAccT 2027 - Abstract submission deadline DESCRIPTION:Conference title: ACM Conference on Fairness\, Accountability\, and Transparency\nWebsite: https://facctconference.org/\nSource URL: htt ps://facctconference.org/2027/cfp.html\nLocation: TBD\nTopics: Fairness & Responsible AI\, Explainability & Interpretability\, Ethics & Governance \, Privacy-preserving ML\nSize: M\nSubmission type: Paper-based / interdi sciplinary\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official FAccT 2027 call for papers lists conference dates and abstract/p aper submission deadlines.\nScope: Fairness\, accountability\, and transp arency in computing\, combining algorithmic research with sociotechnical\ , legal\, philosophical\, and human-centered approaches. Characteristic c ontributions include audits and evaluation practices\, governance\, human experiences of systems\, and responsible development and deployment. A f airness or accountability question should be substantive\, not a passing motivation for generic ML.\nAdditional topics: Human-AI Interaction & Dep loyment\, Robustness & Safety\nScope sources (2026): https://facctconfere nce.org/2026/cfp.html\nScope last checked: 2026-10-07 URL:https://facctconference.org/2027/cfp.html END:VEVENT BEGIN:VEVENT UID:mlsys-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261030T200000Z DTEND:20261030T210000Z SUMMARY:[ML Systems & Infrastructure][Machine Learning] MLSys 2027 - Resear ch and industrial paper submission deadline DESCRIPTION:Conference title: Conference on Machine Learning and Systems\nW ebsite: https://mlsys.org/Conferences/2027\nSource URL: https://mlsys.org /Conferences/2027/CallForResearchPapers\nLocation: Bellevue\, Washington\ , USA\nTopics: ML Systems & Infrastructure\, Machine Learning\, Federated & Distributed Learning\, Natural Language Processing & LLMs\nSize: L\nSu bmission type: Paper-based / research and industrial tracks\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Tenth annual edition. CF P explicitly specifies 20:00 UTC for Oct 10 opening and Oct 30 closing. T he homepage's noon PDT listing is inconsistent by one hour\; prefer the e xplicit CFP UTC times and recheck the submission portal before the deadli ne. No separate abstract prerequisite is announced. Size L is an editoria l estimate.\nScope: The intersection of machine learning and computer sys tems\, including efficient training\, inference and serving\, compilers a nd runtimes\, programming abstractions\, specialized hardware\, distribut ed learning\, and system monitoring. LLM and agentic workloads are consid ered from a systems perspective. Both systems for ML and ML methods that improve computing systems are relevant.\nAdditional topics: Reinforcement Learning\, Privacy-preserving ML\nScope sources (2027): https://mlsys.or g/Conferences/2027/CallForResearchPapers\nScope last checked: 2026-10-07 URL:https://mlsys.org/Conferences/2027/CallForResearchPapers END:VEVENT BEGIN:VEVENT UID:bmvc-2026-deadline-presentation-material@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261031T115900Z DTEND:20261031T125900Z SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] BMVC 2026 - Accepted-paper poster and video upload deadline DESCRIPTION:Conference title: British Machine Vision Conference\nWebsite: h ttps://bmvc2026.bmva.org/\nSource URL: https://bmvc2026.bmva.org/dates/\n Location: Lancaster\, United Kingdom\nTopics: Computer Vision & Pattern R ecognition\, Machine Learning\, Deep Representation Learning\nSize: L\nSu bmission type: Paper-based / BMVA proceedings\nConfidence: confirmed\nLas t checked date: 2026-10-07\nNotes: Official BMVA pages confirm Lancaster and 23:59 AoE deadlines. The October poster/video upload is for accepted papers\, not a fresh poster submission. L is an editorial size estimate.\ nScope: Computer vision\, image processing\, and visual pattern recogniti on\, including visual learning\, recognition and segmentation\, reconstru ction\, motion and video analysis\, and evaluation of vision methods. The single-track BMVA conference combines methodological and applied vision research. It is an established broad vision venue\, not a specialist biom edical-imaging meeting.\nAdditional topics: Signal Processing\nScope sour ces (2026): https://bmvc2026.bmva.org/calls/call-for-papers/\nScope last checked: 2026-10-07 URL:https://bmvc2026.bmva.org/dates/ END:VEVENT BEGIN:VEVENT UID:fg-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261031T115900Z DTEND:20261031T125900Z SUMMARY:[Biometrics & Human Sensing][Computer Vision & Pattern Recognition] FG 2027 - Extended main and special-session paper deadline DESCRIPTION:Conference title: IEEE International Conference on Automatic Fa ce and Gesture Recognition\nWebsite: https://fg2027.ieee-biometrics.org/\ nSource URL: https://fg2027.ieee-biometrics.org/dates/\nLocation: Marrake sh\, Morocco\nTopics: Biometrics & Human Sensing\, Computer Vision & Patt ern Recognition\, Deep Representation Learning\, Machine Learning\nSize: M\nSubmission type: Long and short papers / face\, gesture\, and body rec ognition\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Of ficial CFP and dates page updated October 5 extend the abstract and paper deadlines to October 23 and 30\, replacing October 9 and 16. Cutoffs are AoE. Full event includes April 26/30 workshops\; main sessions are April 27-29. CMT opening is announced for September 25 without an exact hour\; no portal-open observation is fabricated. M is an editorial estimate.\nS cope: Face\, gesture\, body movement\, and human behavior from images and video\, including detection\, tracking\, recognition\, facial expression and affect\, pose and action analysis\, and soft biometrics. Characteris tic methods include advanced visual learning\, generative modeling and ne ural rendering\, multimodal fusion\, and evaluation across demographic an d acquisition conditions. Bias\, interpretability\, and robust recognitio n are directly tied to human sensing rather than generic application tags .\nAdditional topics: Robustness & Safety\, Fairness & Responsible AI\, C omputer Graphics & Visualization\, Explainability & Interpretability\nSco pe sources (2027): https://fg2027.ieee-biometrics.org/call-for-papers/\nS cope last checked: 2026-10-07 URL:https://fg2027.ieee-biometrics.org/dates/ END:VEVENT BEGIN:VEVENT UID:eurogp-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261101 DTEND;VALUE=DATE:20261102 SUMMARY:[Evolutionary Computation & Optimization][Machine Learning] EuroGP 2027 - Genetic programming paper submission deadline (cutoff time unannou nced) DESCRIPTION:Conference title: European Conference on Genetic Programming\nW ebsite: https://www.evostar.org/2027/eurogp/\nSource URL: https://www.evo star.org/2027/important-dates/\nLocation: Mainz\, Germany\nTopics: Evolut ionary Computation & Optimization\, Machine Learning\, Explainability & I nterpretability\nSize: S\nSubmission type: Paper-based / Springer LNCS\nC onfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official EvoS tar pages confirm Mainz\, March 31-April 2\, in hybrid mode. Published de adline days have no exact cutoff hour or timezone\; AoE timestamps are pr ovisional and calendars use all-day events. The shared EvoStar late-break ing-abstract date is not yet a verified EuroGP-specific paper route. S is an editorial size estimate for EuroGP\, not the whole EvoStar event.\nSc ope: Genetic programming and evolutionary program synthesis\, including s ymbolic regression\, program representations and operators\, surrogate-as sisted search\, multi-objective evolution\, and interpretable learned pro grams. Evolutionary machine learning\, AutoML pipelines\, and neuroevolut ion connect this focused methodological community to ML. Application doma ins do not define its tags.\nAdditional topics: Learning Theory & Statist ical Foundations\, Deep Representation Learning\nScope sources (2027): ht tps://www.evostar.org/2027/eurogp/\nScope last checked: 2026-10-07\nOffic ial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://www.evostar.org/2027/important-dates/ END:VEVENT BEGIN:VEVENT UID:ecir-2027-deadline-resource-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261102 DTEND;VALUE=DATE:20261103 SUMMARY:[Information Retrieval & Search][Recommender Systems] ECIR 2027 - R esource paper submission deadline (cutoff time unannounced) DESCRIPTION:Conference title: European Conference on Information Retrieval\ nWebsite: https://www.ecir2027.co.uk/\nSource URL: https://www.ecir2027.c o.uk/call-for-resource-papers\nLocation: Southampton\, UK\nTopics: Inform ation Retrieval & Search\, Recommender Systems\, Natural Language Process ing & LLMs\, LLM Agents & Tool Use\nSize: L\nSubmission type: Paper-based \nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Track-spec ific calls confirm paper days but no exact cutoff hour. Full/short abstra ct gates are already closed\; replicability and resource papers remain in dependent opportunities. Resource papers report original research resourc es\, not camera-ready work. Size is an editorial estimate.\nScope: Inform ation retrieval and ranking\, recommendation\, conversational search and RAG\, user information interaction\, system efficiency\, and rigorous eva luation. The 2027 call explicitly includes language models and agentic re trieval workflows. Replicability and research-resource papers are distinc t routes. Fairness and explainability concern information access rather t han generic responsible-AI topics.\nAdditional topics: Human-AI Interacti on & Deployment\, Explainability & Interpretability\, Fairness & Responsi ble AI\, Multimedia Learning & Retrieval\nScope sources (2027): https://w ww.ecir2027.co.uk/call-for-full-papers\nScope last checked: 2026-10-07\nO fficial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://www.ecir2027.co.uk/call-for-resource-papers END:VEVENT BEGIN:VEVENT UID:ifac-sysid-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261102 DTEND;VALUE=DATE:20261103 SUMMARY:[System Identification & Data-driven Dynamics][Control & Robotics] IFAC SYSID 2027 - Conference paper submission (cutoff time unannounced) DESCRIPTION:Conference title: IFAC Symposium on System Identification\nWebs ite: https://conferences.ifac-control.org/sysid2027/\nSource URL: https:/ /conferences.ifac-control.org/sysid2027/participate/\nLocation: Lyon\, Fr ance\nTopics: System Identification & Data-driven Dynamics\, Control & Ro botics\, Time Series & Sequential Data\, Machine Learning\nSize: M\nSubmi ssion type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-1 0-06\nNotes: Triennial TC 1.1 symposium. Regular papers\, joint journal p apers\, and dissemination/discussion routes have distinct requirements\; consult the call. Published deadline days are confirmed but cutoff hours use estimated end-of-day AoE. Size is an editorial category.\nScope: Syst em identification and data-driven modeling for dynamical systems and cont rol. Characteristic themes include nonlinear identification\, model reduc tion\, identification software and benchmarks\, learning across systems\, and dynamic networks. Application tracks remain grounded in identifying or learning dynamical models\, rather than becoming general-purpose domai n conferences.\nAdditional topics: Nonlinear Dynamics & Chaos\, Complex S ystems & Network Science\nScope sources (2027): https://conferences.ifac- control.org/sysid2027/participate/\nScope last checked: 2026-10-07\nOffic ial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://conferences.ifac-control.org/sysid2027/participate/ END:VEVENT BEGIN:VEVENT UID:wacv-2027-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261103T115900Z DTEND:20261103T125900Z SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] WACV 2027 - Camera-ready deadline DESCRIPTION:Conference title: IEEE/CVF Winter Conference on Applications of Computer Vision\nWebsite: https://wacv.thecvf.com/Conferences/2027\nSour ce URL: https://wacv.thecvf.com/Conferences/2027/CallForPapers\nLocation: Lake Buena Vista\, Florida\, USA\nTopics: Computer Vision & Pattern Reco gnition\, Machine Learning\, Deep Representation Learning\nSize: XL\nSubm ission type: Paper-based / two independent submission rounds\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official CFP confirms s eparate enrollment gates for both new-paper rounds at 23:59 AoE. Both are already closed despite the future camera-ready deadline. Main conference is January 6-8 at Disney Springs\; workshops run January 4-5. XL is an e ditorial estimate\, not an acceptance-rate proxy.\nScope: Applied compute r vision and visual learning\, with an emphasis on practical recognition\ , detection\, segmentation\, image/video analysis\, 3D perception\, and d eployable visual systems. Human analysis and multimodal visual methods ar e established areas. Compared with the flagship trio\, WACV particularly welcomes meaningful application-driven contributions supported by sound e valuation\; its two submission rounds are routes\, not different fields.\ nAdditional topics: Signal Processing\, Biometrics & Human Sensing\, Mult imedia Learning & Retrieval\nScope sources (2027): https://wacv.thecvf.co m/Conferences/2027/CallForPapers\nScope last checked: 2026-10-07 URL:https://wacv.thecvf.com/Conferences/2027/CallForPapers END:VEVENT BEGIN:VEVENT UID:acm-facct-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261104T115900Z DTEND:20261104T125900Z SUMMARY:[Fairness & Responsible AI][Explainability & Interpretability] ACM FAccT 2027 - Paper submission deadline DESCRIPTION:Conference title: ACM Conference on Fairness\, Accountability\, and Transparency\nWebsite: https://facctconference.org/\nSource URL: htt ps://facctconference.org/2027/cfp.html\nLocation: TBD\nTopics: Fairness & Responsible AI\, Explainability & Interpretability\, Ethics & Governance \, Privacy-preserving ML\nSize: M\nSubmission type: Paper-based / interdi sciplinary\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official FAccT 2027 call for papers lists conference dates and abstract/p aper submission deadlines.\nScope: Fairness\, accountability\, and transp arency in computing\, combining algorithmic research with sociotechnical\ , legal\, philosophical\, and human-centered approaches. Characteristic c ontributions include audits and evaluation practices\, governance\, human experiences of systems\, and responsible development and deployment. A f airness or accountability question should be substantive\, not a passing motivation for generic ML.\nAdditional topics: Human-AI Interaction & Dep loyment\, Robustness & Safety\nScope sources (2026): https://facctconfere nce.org/2026/cfp.html\nScope last checked: 2026-10-07 URL:https://facctconference.org/2027/cfp.html END:VEVENT BEGIN:VEVENT UID:ijcnlp-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261106 DTEND;VALUE=DATE:20261111 SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] IJCNLP 2026 - Conference DESCRIPTION:Conference title: Asia-Pacific ACL and International Joint Conf erence on Natural Language Processing\nWebsite: https://2026.aaclnet.org/ \nSource URL: https://2026.aaclnet.org/\nLocation: Hengqin\, China\nTopic s: Natural Language Processing & LLMs\, Deep Representation Learning\, LL M Agents & Tool Use\, Information Retrieval & Search\nSize: L\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-10-07\ nNotes: Joint AACL-IJCNLP 2026 is one edition under the IJCNLP series\, n ot two conferences. ARR submissions and both commitment rounds are closed . Joint-series recurrence is irregular\; do not automatically invent an a nnual next edition. Size is an editorial estimate.\nScope: Computational linguistics and natural-language technologies in the Asia-Pacific communi ty\, including multilingual and low-resource NLP\, language modeling\, ge neration\, dialogue\, structured prediction\, and evaluation. The 2026 ed ition is jointly organized as AACL-IJCNLP. Alias identity is preserved wi thout inheriting the separate ACL conference ranking.\nAdditional topics: Cognitive Science & Computational Cognition\, Explainability & Interpret ability\, Fairness & Responsible AI\, Human-AI Interaction & Deployment\n Scope sources (2026): https://2026.aaclnet.org/calls/main_conference_pape rs/\nScope last checked: 2026-10-07 URL:https://2026.aaclnet.org/ LOCATION:Hengqin\, China END:VEVENT BEGIN:VEVENT UID:aamas-2027-deadline-late-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261106T115900Z DTEND:20261106T125900Z SUMMARY:[Machine Learning][Reinforcement Learning] AAMAS 2027 - Blue Sky Id eas abstract registration deadline DESCRIPTION:Conference title: International Conference on Autonomous Agents and Multiagent Systems\nWebsite: https://warwick.ac.uk/fac/sci/dcs/aamas 2027/\nSource URL: https://warwick.ac.uk/fac/sci/dcs/aamas2027/calls/call -for-blue-sky-ideas/\nLocation: Hanoi\, Vietnam\nTopics: Machine Learning \, Reinforcement Learning\, Autonomous Agents & Multiagent Systems\, Huma n-AI Interaction & Deployment\nSize: XL\nSubmission type: Paper-based / B lue Sky Ideas short papers\nConfidence: confirmed\nLast checked date: 202 6-10-07\nNotes: Annual flagship meeting in Hanoi. New main-track submissi ons are closed because the Oct 1 abstract gate has passed\, even before t he Oct 8 paper cutoff. The separate four-page Blue Sky Ideas track remain s a forthcoming opportunity\; author registration is announced for Oct 20 but no exact opening hour is given. Its Nov 5 gate only controls its Nov 12 short papers. AAAI fast-track and already published JAAMAS presentati ons are not general new-paper routes. Size XL is an editorial estimate. H istorical acceptance covers main full papers only\, not Blue Sky Ideas or the newly introduced 2027 Findings track.\nScope: Autonomous agents and multi-agent systems: learning and adaptation\, coordination\, game theory \, planning\, reasoning\, agent engineering\, and agent-based simulation. Also covers human-agent interaction\, robot teams\, norms and governance \, and generative agents. The contribution should concern agents or their interaction\; generic language-model or learning results are not automat ically in scope.\nAdditional topics: Deep Representation Learning\, Proba bilistic\, Causal & Uncertainty ML\, Control & Robotics\, Complex Systems & Network Science\, Ethics & Governance\, Explainability & Interpretabil ity\nScope sources (2027): https://warwick.ac.uk/fac/sci/dcs/aamas2027/ca lls/call-for-main-track/\nScope last checked: 2026-10-07 URL:https://warwick.ac.uk/fac/sci/dcs/aamas2027/calls/call-for-blue-sky-ide as/ END:VEVENT BEGIN:VEVENT UID:cikm-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261107 DTEND;VALUE=DATE:20261112 SUMMARY:[Data Mining & Data Science][Machine Learning] CIKM 2026 - Conferen ce DESCRIPTION:Conference title: ACM International Conference on Information a nd Knowledge Management\nWebsite: https://cikm2026.diag.uniroma1.it/\nSou rce URL: https://cikm2026.diag.uniroma1.it/\nLocation: Rome\, Italy\nTopi cs: Data Mining & Data Science\, Machine Learning\, Natural Language Proc essing & LLMs\, Human-AI Interaction & Deployment\nSize: XL\nSubmission t ype: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-31\nN otes: Official CIKM 2026 materials confirm Rome\, Nov 7-11\, and the May 16 abstract and May 23 full-paper deadlines.\nScope: Information retrieva l\, knowledge management\, data mining and database systems\, with a stro ng focus on effective information access and knowledge at scale. The 2026 organizer description emphasizes AI for information access\, knowledge r epresentation\, personalization and evaluation. Agentic and graph methods are relevant through these information and knowledge problems.\nAddition al topics: Information Retrieval & Search\, Recommender Systems\, Knowled ge Representation & Reasoning\, Graphs & Graph Learning\, LLM Agents & To ol Use\nScope sources (2026): https://cikm2026.diag.uniroma1.it/\nScope l ast checked: 2026-10-07 URL:https://cikm2026.diag.uniroma1.it/ LOCATION:Rome\, Italy END:VEVENT BEGIN:VEVENT UID:ml4h-2026-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261108T115900Z DTEND:20261108T125900Z SUMMARY:[Healthcare & Clinical AI][Machine Learning] ML4H 2026 - Camera-rea dy deadline DESCRIPTION:Conference title: Machine Learning for Health Symposium\nWebsit e: https://ml4h.ahli.cc/\nSource URL: https://ml4h.ahli.cc/submit/call-fo r-papers/\nLocation: Sydney\, Australia\nTopics: Healthcare & Clinical AI \, Machine Learning\, Time Series & Sequential Data\, Deep Representation Learning\nSize: M\nSubmission type: Proceedings + findings tracks\nConfi dence: confirmed\nLast checked date: 2026-08-20\nNotes: Official ML4H 202 6 pages list symposium dates\, location\, and paper deadline. URL:https://ml4h.ahli.cc/submit/call-for-papers/ END:VEVENT BEGIN:VEVENT UID:corl-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261109 DTEND;VALUE=DATE:20261113 SUMMARY:[Machine Learning][Control & Robotics] CoRL 2026 - Conference DESCRIPTION:Conference title: Conference on Robot Learning\nWebsite: https: //www.corl.org/\nSource URL: https://www.corl.org/\nLocation: Austin\, Te xas\, USA\nTopics: Machine Learning\, Control & Robotics\, Reinforcement Learning\, Deep Representation Learning\nSize: L\nSubmission type: Paper- based\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Tenth annual edition\; main conference Nov 9-11 and workshops Nov 12. OpenRevi ew's May 26/29 at 11:59 UTC correspond to May 25/28 at 23:59 AoE\, consis tent with the author instructions' Thursday May 28 cutoff. Abstract regis tration is mandatory. Satellite workshop papers are not main-track opport unities. ICORE 2026 lists CoRL as Unranked\, not A/A*/B/C. Size L is an e ditorial estimate.\nScope: Machine learning for physical robots\, especia lly imitation and reinforcement learning\, learned perception and control \, robot foundation models\, and learning-based task and motion planning. Includes uncertainty\, generalization\, safety\, human-robot interaction \, and datasets grounded in manipulation\, navigation\, or locomotion. Ge neral ML is relevant when it makes a substantive contribution to robot le arning.\nAdditional topics: Computer Vision & Pattern Recognition\, Proba bilistic\, Causal & Uncertainty ML\, Human-AI Interaction & Deployment\, Robustness & Safety\, Learning Theory & Statistical Foundations\nScope so urces (2026): https://www.corl.org/contributions/call-for-papers\nScope l ast checked: 2026-10-07 URL:https://www.corl.org/ LOCATION:Austin\, Texas\, USA END:VEVENT BEGIN:VEVENT UID:acm-mm-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261110 DTEND;VALUE=DATE:20261115 SUMMARY:[Multimedia Learning & Retrieval][Computer Vision & Pattern Recogni tion] ACM MM 2026 - Conference DESCRIPTION:Conference title: ACM International Conference on Multimedia\nW ebsite: https://2026.acmmm.org/\nSource URL: https://2026.acmmm.org/\nLoc ation: Rio de Janeiro\, Brazil\nTopics: Multimedia Learning & Retrieval\, Computer Vision & Pattern Recognition\, Deep Representation Learning\, S ignal Processing\nSize: XL\nSubmission type: Paper-based / multimedia res earch\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Offic ial 2026 pages confirm Rio and deadline days. The retrieved important-dat es page has no cutoff hour or timezone\, so the stored AoE timestamps are provisional. Main\, BNI\, and dataset tracks share March/April deadlines \; workshop papers have their own route. XL is an editorial estimate.\nSc ope: Multimedia understanding\, learning\, generation\, and retrieval acr oss image\, video\, audio\, language\, and other modalities. Characterist ic work includes multimodal fusion\, generative and foundation models\, s calable indexing and search\, cross-modal alignment\, and human-centered multimedia experiences. The 2026 steering-committee scope also emphasizes explainability. Healthcare\, education\, and entertainment are applicati ons\, not blanket topical identities.\nAdditional topics: Machine Learnin g\, Natural Language Processing & LLMs\, Human-AI Interaction & Deploymen t\, Data Mining & Data Science\, Explainability & Interpretability\nScope sources (2026): https://2026.acmmm.org/site/topics.html\, https://2026.a cmmm.org/\nScope last checked: 2026-10-07 URL:https://2026.acmmm.org/ LOCATION:Rio de Janeiro\, Brazil END:VEVENT BEGIN:VEVENT UID:www-2027-deadline-late-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261110T115900Z DTEND:20261110T125900Z SUMMARY:[Information Retrieval & Search][Recommender Systems] WWW 2027 - Sh ort-paper abstract deadline DESCRIPTION:Conference title: ACM Web Conference (formerly International Wo rld Wide Web Conference)\nWebsite: https://www2027.thewebconf.org/\nSourc e URL: https://www2027.thewebconf.org/\nLocation: Dublin\, Ireland\nTopic s: Information Retrieval & Search\, Recommender Systems\, Graphs & Graph Learning\, LLM Agents & Tool Use\nSize: XL\nSubmission type: Paper-based\ nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official ho mepage states full and short paper portals are open\; separate mandatory abstract gates. Research must substantively address the Web\, not merely use a web dataset. Preserve WWW as the stable series alias. Size is an ed itorial estimate.\nScope: Research on the Web as infrastructure and a soc io-technical ecosystem. Characteristic ML-facing tracks include search an d recommendation\, retrieval-augmented and agentic information access\, g raph learning\, and semantic knowledge. Responsible Web and privacy resea rch are substantive strands. Merely using a web dataset or API is explici tly insufficient topical relevance.\nAdditional topics: Knowledge Represe ntation & Reasoning\, Data Mining & Data Science\, Fairness & Responsible AI\, Privacy-preserving ML\, Ethics & Governance\nScope sources (2027): https://www2027.thewebconf.org/research-track-papers/\nScope last checked : 2026-10-07 URL:https://www2027.thewebconf.org/ END:VEVENT BEGIN:VEVENT UID:cvpr-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261111T115900Z DTEND:20261111T125900Z SUMMARY:[Computer Vision & Pattern Recognition][Deep Representation Learnin g] CVPR 2027 - Abstract and paper registration deadline DESCRIPTION:Conference title: IEEE/CVF Conference on Computer Vision and Pa ttern Recognition\nWebsite: https://cvpr.thecvf.com/Conferences/2027\nSou rce URL: https://cvpr.thecvf.com/Conferences/2027/CallForPapers\nLocation : Seattle\, Washington\, USA\nTopics: Computer Vision & Pattern Recogniti on\, Deep Representation Learning\, Machine Learning\nSize: XXL\nSubmissi on type: Paper-based / OpenReview\nConfidence: confirmed\nLast checked da te: 2026-10-07\nNotes: Official 2027 homepage and CFP confirm Seattle and AoE submission dates. Mandatory registration gates paper submission. XXL is supported by the organizer's description of more than 10\,000 annual attendees. Historical acceptance statistics refer to the main technical p rogram\, not workshops.\nScope: Broad computer vision and pattern recogni tion: visual representations\, recognition and segmentation\, 3D reconstr uction\, computational imaging\, image and video generation\, motion and tracking\, and vision-language learning. Graphics\, multimodal learning\, human face/body understanding\, and reliable vision are substantial recu rring research areas. Peripheral application fields are not tagged merely because a long CFP mentions them.\nAdditional topics: Computer Graphics & Visualization\, Multimedia Learning & Retrieval\, Natural Language Proc essing & LLMs\, Biometrics & Human Sensing\, Robustness & Safety\nScope s ources (2027): https://cvpr.thecvf.com/Conferences/2027/CallForPapers\nSc ope last checked: 2026-10-07 URL:https://cvpr.thecvf.com/Conferences/2027/CallForPapers END:VEVENT BEGIN:VEVENT UID:icdm-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261112 DTEND;VALUE=DATE:20261116 SUMMARY:[Data Mining & Data Science][Time Series & Sequential Data] ICDM 20 26 - Conference DESCRIPTION:Conference title: IEEE International Conference on Data Mining\ nWebsite: https://icdm2026.neu.edu.cn/\nSource URL: https://icdm2026.neu. edu.cn/\nLocation: Shenyang\, China\nTopics: Data Mining & Data Science\, Time Series & Sequential Data\, Machine Learning\nSize: L\nSubmission ty pe: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nNo tes: Official ICDM 2026 page lists conference dates\, location\, and main conference deadline. URL:https://icdm2026.neu.edu.cn/ LOCATION:Shenyang\, China END:VEVENT BEGIN:VEVENT UID:nice-2027-deadline-regular-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261112T115900Z DTEND:20261112T125900Z SUMMARY:[Neuromorphic & Brain-inspired Computing][Computational Neuroscienc e] NICE 2027 - Regular research paper submission deadline DESCRIPTION:Conference title: Neuro Inspired Computational Elements Confere nce\nWebsite: https://niceworkshop.org/nice-2027/\nSource URL: https://ea sychair.org/cfp/nice2027\nLocation: Brighton\, United Kingdom\nTopics: Ne uromorphic & Brain-inspired Computing\, Computational Neuroscience\, Mach ine Learning\, BCI & Neurotechnology\nSize: M\nSubmission type: Research papers + late-breaking abstracts\nConfidence: confirmed\nLast checked dat e: 2026-10-08\nNotes: Main conference April 6-8\; dedicated tutorials Apr il 9. Accepted proceedings research papers are published through IEEE\; l ate-breaking abstracts are non-archival\, and some poster contributions m ay not enter the proceedings. Neither a scheduled opening nor a live subm ission portal has been verified. Size is an editorial estimate.\nScope: N euromorphic and brain-inspired computing at the intersection of neuroscie nce\, algorithms and hardware. Characteristic work includes spiking neura l networks\, learning in neural systems\, event-driven computation\, neur omorphic processors and embodied applications. Research papers and late-b reaking abstracts are different contribution routes.\nAdditional topics: ML Systems & Infrastructure\, Deep Representation Learning\, Control & Ro botics\nScope sources (2027): https://easychair.org/cfp/nice2027\nScope l ast checked: 2026-10-08 URL:https://easychair.org/cfp/nice2027 END:VEVENT BEGIN:VEVENT UID:adma-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261113 DTEND;VALUE=DATE:20261116 SUMMARY:[Data Mining & Data Science][Machine Learning] ADMA 2026 - Conferen ce DESCRIPTION:Conference title: International Conference on Advanced Data Min ing and Applications\nWebsite: https://adma2026.github.io/\nSource URL: h ttps://adma2026.github.io/\nLocation: Hong Kong\, China\nTopics: Data Min ing & Data Science\, Machine Learning\, Time Series & Sequential Data\, E xplainability & Interpretability\nSize: M\nSubmission type: Paper-based / special sessions\nConfidence: confirmed\nLast checked date: 2026-08-20\n Notes: Official ADMA 2026 page lists Hong Kong\, Nov 13-15\, and the exte nded industry/special-session deadline. URL:https://adma2026.github.io/ LOCATION:Hong Kong\, China END:VEVENT BEGIN:VEVENT UID:aamas-2027-deadline-short-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261113T115900Z DTEND:20261113T125900Z SUMMARY:[Machine Learning][Reinforcement Learning] AAMAS 2027 - Blue Sky Id eas paper submission deadline DESCRIPTION:Conference title: International Conference on Autonomous Agents and Multiagent Systems\nWebsite: https://warwick.ac.uk/fac/sci/dcs/aamas 2027/\nSource URL: https://warwick.ac.uk/fac/sci/dcs/aamas2027/calls/call -for-blue-sky-ideas/\nLocation: Hanoi\, Vietnam\nTopics: Machine Learning \, Reinforcement Learning\, Autonomous Agents & Multiagent Systems\, Huma n-AI Interaction & Deployment\nSize: XL\nSubmission type: Paper-based / B lue Sky Ideas short papers\nConfidence: confirmed\nLast checked date: 202 6-10-07\nNotes: Annual flagship meeting in Hanoi. New main-track submissi ons are closed because the Oct 1 abstract gate has passed\, even before t he Oct 8 paper cutoff. The separate four-page Blue Sky Ideas track remain s a forthcoming opportunity\; author registration is announced for Oct 20 but no exact opening hour is given. Its Nov 5 gate only controls its Nov 12 short papers. AAAI fast-track and already published JAAMAS presentati ons are not general new-paper routes. Size XL is an editorial estimate. H istorical acceptance covers main full papers only\, not Blue Sky Ideas or the newly introduced 2027 Findings track.\nScope: Autonomous agents and multi-agent systems: learning and adaptation\, coordination\, game theory \, planning\, reasoning\, agent engineering\, and agent-based simulation. Also covers human-agent interaction\, robot teams\, norms and governance \, and generative agents. The contribution should concern agents or their interaction\; generic language-model or learning results are not automat ically in scope.\nAdditional topics: Deep Representation Learning\, Proba bilistic\, Causal & Uncertainty ML\, Control & Robotics\, Complex Systems & Network Science\, Ethics & Governance\, Explainability & Interpretabil ity\nScope sources (2027): https://warwick.ac.uk/fac/sci/dcs/aamas2027/ca lls/call-for-main-track/\nScope last checked: 2026-10-07 URL:https://warwick.ac.uk/fac/sci/dcs/aamas2027/calls/call-for-blue-sky-ide as/ END:VEVENT BEGIN:VEVENT UID:sfn-neuroscience-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261114 DTEND;VALUE=DATE:20261119 SUMMARY:[Systems & Experimental Neuroscience][Computational Neuroscience] S fN Neuroscience 2026 - Conference DESCRIPTION:Conference title: Society for Neuroscience Annual Meeting\nWebs ite: https://www.sfn.org/meetings/neuroscience-2026\nSource URL: https:// www.sfn.org/meetings/neuroscience-2026\nLocation: Washington\, DC\, USA\n Topics: Systems & Experimental Neuroscience\, Computational Neuroscience\ , Cognitive Science & Computational Cognition\, Neuroimaging & Brain Mapp ing\nSize: XXL\nSubmission type: Abstract-based\nConfidence: confirmed\nL ast checked date: 2026-10-08\nNotes: Annual broad neuroscience meeting. R esearch abstracts are archived\, not peer-reviewed full-paper proceedings . Late-breaking submissions opened September 8 and were capped at 2\,500\ , so could close early. Membership and presenter requirements apply. The late-breaking cutoff hour was not verified. Size is an editorial estimate .\nScope: Broad neuroscience annual meeting spanning molecular and cellul ar neuroscience\, neural circuits\, systems and behavioral neuroscience\, cognition\, development and disease. Computational neuroscience\, neuroi maging and neurotechnology are relevant parts of this broad remit\, not i ts exclusive identity. Research abstracts are presented and archived\; th ey are not standard full-paper conference proceedings.\nAdditional topics : EEG/MEG & Neural Signals\, BCI & Neurotechnology\nScope sources (2026): https://www.sfn.org/cfa\, https://www.sfn.org/meetings\nScope last check ed: 2026-10-08 URL:https://www.sfn.org/meetings/neuroscience-2026 LOCATION:Washington\, DC\, USA END:VEVENT BEGIN:VEVENT UID:l4dc-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261113 DTEND;VALUE=DATE:20261114 SUMMARY:[Machine Learning][Control & Robotics] L4DC 2027 - Paper submission deadline (cutoff time unannounced) DESCRIPTION:Conference title: Learning for Dynamics and Control\nWebsite: h ttps://l4dc2027.control.ee.ethz.ch/home\nSource URL: https://l4dc2027.con trol.ee.ethz.ch/home\nLocation: Stockholm\, Sweden\nTopics: Machine Learn ing\, Control & Robotics\, System Identification & Data-driven Dynamics\, Reinforcement Learning\nSize: M\nSubmission type: Paper-based\nConfidenc e: confirmed\nLast checked date: 2026-10-06\nNotes: Annual conference at the ML/control interface\, hosted by KTH. Official days are published\; c utoff hours are unannounced and represented using estimated end-of-day Ao E timing. Late-breaking results are a separate presentation route\, not r egular proceedings papers. Size is an editorial scale category\, not a ve rified attendance count.\nScope: The interface of learning\, dynamics\, c ontrol\, and optimization for physical and dynamical systems. Emphasizes foundations and methods for data-driven control and dynamical modeling\, including theoretical\, empirical\, and applied contributions. Pure patte rn recognition without a meaningful connection to dynamics or control is not the defining focus.\nAdditional topics: Learning Theory & Statistical Foundations\nScope sources (2027): https://l4dc2027.control.ee.ethz.ch/h ome\nScope last checked: 2026-10-07\nOfficial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://l4dc2027.control.ee.ethz.ch/home END:VEVENT BEGIN:VEVENT UID:ieee-bigdata-2026-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261115T065900Z DTEND:20261115T075900Z SUMMARY:[Data Mining & Data Science][Machine Learning] IEEE BigData 2026 - Camera-ready deadline DESCRIPTION:Conference title: IEEE International Conference on Big Data\nWe bsite: https://bigdataieee.org/BigData2026/\nSource URL: https://bigdatai eee.org/BigData2026/important-dates/\nLocation: Phoenix\, Arizona\, USA\n Topics: Data Mining & Data Science\, Machine Learning\, Time Series & Seq uential Data\, Federated & Distributed Learning\nSize: L\nSubmission type : Paper-based / mixed tracks\nConfidence: confirmed\nLast checked date: 2 026-09-14\nNotes: Official IEEE BigData 2026 CFP confirms Phoenix\, Dec 1 4-17\, the Aug 21 full-paper deadline\, and the Nov 14 camera-ready deadl ine. URL:https://bigdataieee.org/BigData2026/important-dates/ END:VEVENT BEGIN:VEVENT UID:nolta-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261117 DTEND;VALUE=DATE:20261121 SUMMARY:[Nonlinear Dynamics & Chaos][Complex Systems & Network Science] NOL TA 2026 - Conference DESCRIPTION:Conference title: International Symposium on Nonlinear Theory a nd Its Applications\nWebsite: https://nolta2026.org/\nSource URL: https:/ /nolta2026.org/\nLocation: Grenoble\, France\nTopics: Nonlinear Dynamics & Chaos\, Complex Systems & Network Science\, Deep Representation Learnin g\, Control & Robotics\nSize: M\nSubmission type: Paper-based\nConfidence : confirmed\nLast checked date: 2026-10-06\nNotes: Annual IEICE NOLTA sym posium\; official final extensions supersede older April/July dates. Proc eedings papers\, with neural networks and deep AI explicitly in scope. De adline hours use estimated end-of-day AoE. Size is an editorial category. \nScope: Nonlinear theory and its applications\, centered on chaos\, bifu rcations\, oscillations\, synchronization\, nonlinear circuits\, and comp lex networks. Neural computation\, evolutionary algorithms\, control\, an d signal processing connect to this nonlinear-systems focus. Individual a pplication examples are not taken as additional specialist identities.\nA dditional topics: Signal Processing\, Evolutionary Computation & Optimiza tion\nScope sources (2026): https://nolta2026.org/\nScope last checked: 2 026-10-07 URL:https://nolta2026.org/ LOCATION:Grenoble\, France END:VEVENT BEGIN:VEVENT UID:cvpr-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261117T115900Z DTEND:20261117T125900Z SUMMARY:[Computer Vision & Pattern Recognition][Deep Representation Learnin g] CVPR 2027 - Paper submission deadline DESCRIPTION:Conference title: IEEE/CVF Conference on Computer Vision and Pa ttern Recognition\nWebsite: https://cvpr.thecvf.com/Conferences/2027\nSou rce URL: https://cvpr.thecvf.com/Conferences/2027/CallForPapers\nLocation : Seattle\, Washington\, USA\nTopics: Computer Vision & Pattern Recogniti on\, Deep Representation Learning\, Machine Learning\nSize: XXL\nSubmissi on type: Paper-based / OpenReview\nConfidence: confirmed\nLast checked da te: 2026-10-07\nNotes: Official 2027 homepage and CFP confirm Seattle and AoE submission dates. Mandatory registration gates paper submission. XXL is supported by the organizer's description of more than 10\,000 annual attendees. Historical acceptance statistics refer to the main technical p rogram\, not workshops.\nScope: Broad computer vision and pattern recogni tion: visual representations\, recognition and segmentation\, 3D reconstr uction\, computational imaging\, image and video generation\, motion and tracking\, and vision-language learning. Graphics\, multimodal learning\, human face/body understanding\, and reliable vision are substantial recu rring research areas. Peripheral application fields are not tagged merely because a long CFP mentions them.\nAdditional topics: Computer Graphics & Visualization\, Multimedia Learning & Retrieval\, Natural Language Proc essing & LLMs\, Biometrics & Human Sensing\, Robustness & Safety\nScope s ources (2027): https://cvpr.thecvf.com/Conferences/2027/CallForPapers\nSc ope last checked: 2026-10-07 URL:https://cvpr.thecvf.com/Conferences/2027/CallForPapers END:VEVENT BEGIN:VEVENT UID:www-2027-deadline-short-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261117T115900Z DTEND:20261117T125900Z SUMMARY:[Information Retrieval & Search][Recommender Systems] WWW 2027 - Sh ort paper submission deadline DESCRIPTION:Conference title: ACM Web Conference (formerly International Wo rld Wide Web Conference)\nWebsite: https://www2027.thewebconf.org/\nSourc e URL: https://www2027.thewebconf.org/\nLocation: Dublin\, Ireland\nTopic s: Information Retrieval & Search\, Recommender Systems\, Graphs & Graph Learning\, LLM Agents & Tool Use\nSize: XL\nSubmission type: Paper-based\ nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official ho mepage states full and short paper portals are open\; separate mandatory abstract gates. Research must substantively address the Web\, not merely use a web dataset. Preserve WWW as the stable series alias. Size is an ed itorial estimate.\nScope: Research on the Web as infrastructure and a soc io-technical ecosystem. Characteristic ML-facing tracks include search an d recommendation\, retrieval-augmented and agentic information access\, g raph learning\, and semantic knowledge. Responsible Web and privacy resea rch are substantive strands. Merely using a web dataset or API is explici tly insufficient topical relevance.\nAdditional topics: Knowledge Represe ntation & Reasoning\, Data Mining & Data Science\, Fairness & Responsible AI\, Privacy-preserving ML\, Ethics & Governance\nScope sources (2027): https://www2027.thewebconf.org/research-track-papers/\nScope last checked : 2026-10-07 URL:https://www2027.thewebconf.org/ END:VEVENT BEGIN:VEVENT UID:esann-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261118T225900Z DTEND:20261118T235900Z SUMMARY:[Machine Learning][Deep Representation Learning] ESANN 2027 - Paper submission deadline DESCRIPTION:Conference title: European Symposium on Artificial Neural Netwo rks\, Computational Intelligence and Machine Learning\nWebsite: https://w ww.esann.org/\nSource URL: https://www.esann.org/\nLocation: Bruges\, Bel gium\nTopics: Machine Learning\, Deep Representation Learning\, Learning Theory & Statistical Foundations\, Signal Processing\nSize: M\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-31\ nNotes: Official ESANN 2027 pages confirm Bruges\, Apr 21-23\, 2027\, and the Nov 18\, 2026 submission deadline. URL:https://www.esann.org/ END:VEVENT BEGIN:VEVENT UID:ideal-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261119 DTEND;VALUE=DATE:20261122 SUMMARY:[Machine Learning][Data Mining & Data Science] IDEAL 2026 - Confere nce DESCRIPTION:Conference title: International Conference on Intelligent Data Engineering and Automated Learning\nWebsite: https://www.ideal2026.org/\n Source URL: https://www.ideal2026.org/\nLocation: Manchester\, United Kin gdom\nTopics: Machine Learning\, Data Mining & Data Science\, Deep Repres entation Learning\, Learning Theory & Statistical Foundations\nSize: M\nS ubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 20 26-08-31\nNotes: Official IDEAL 2026 pages confirm Manchester\, Nov 19-21 \, and the Jul 1 paper-submission deadline. URL:https://www.ideal2026.org/ LOCATION:Manchester\, United Kingdom END:VEVENT BEGIN:VEVENT UID:sdm-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261119 DTEND;VALUE=DATE:20261121 SUMMARY:[Data Mining & Data Science][Time Series & Sequential Data] SDM 202 6 - Conference DESCRIPTION:Conference title: SIAM International Conference on Data Mining\ nWebsite: https://www.siam.org/conferences-events/siam-conferences/sdm26/ \nSource URL: https://www.siam.org/conferences-events/siam-conferences/sd m26/\nLocation: Salt Lake City\, Utah\, USA\nTopics: Data Mining & Data S cience\, Time Series & Sequential Data\, Explainability & Interpretabilit y\, Machine Learning\nSize: M\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official SIAM SDM26 page lists event details and submission deadlines. URL:https://www.siam.org/conferences-events/siam-conferences/sdm26/ LOCATION:Salt Lake City\, Utah\, USA END:VEVENT BEGIN:VEVENT UID:log-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261120 DTEND;VALUE=DATE:20261123 SUMMARY:[Machine Learning][Deep Representation Learning] LoG 2026 - Confere nce DESCRIPTION:Conference title: Learning on Graphs Conference\nWebsite: https ://logconference.org/\nSource URL: https://logconference.org/\nLocation: Boston\, Massachusetts\, USA\nTopics: Machine Learning\, Deep Representat ion Learning\, Graphs & Graph Learning\, Learning Theory & Statistical Fo undations\nSize: M\nSubmission type: Paper-based / non-archival extended abstracts\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: F ifth annual edition\, in person at Northeastern University. Extended Aug 5/7 deadlines replace the struck-through July 29/Aug 1 dates. Proceedings papers and non-archival extended abstracts share the registration and fi nal submission cutoffs\, represented as one route. The TMLR presentation track requires an already published paper\, so it is not a new-paper oppo rtunity. LoG is distinct from LOD/AIS. Size M is an editorial estimate.\n Scope: Learning on graphs and geometry: graph neural networks\, equivaria nt models\, graph kernels\, geometric and graph generative models\, and s tatistical theory for structured data. Graph signal processing\, causal g raph models\, robustness\, and scalable graph-learning infrastructure are meaningful extensions. A graph or geometric contribution should remain c entral\, even in an application such as language or molecular modeling.\n Additional topics: Complex Systems & Network Science\, Probabilistic\, Ca usal & Uncertainty ML\, Signal Processing\, Robustness & Safety\, ML Syst ems & Infrastructure\nScope sources (2026): https://logconference.org/cfp /\nScope last checked: 2026-10-07 URL:https://logconference.org/ LOCATION:Boston\, Massachusetts\, USA END:VEVENT BEGIN:VEVENT UID:complenet-2027-deadline-notification@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261120 DTEND;VALUE=DATE:20261121 SUMMARY:[Complex Systems & Network Science][Graphs & Graph Learning] Comple Net 2027 - Acceptance notification (cutoff time unannounced) DESCRIPTION:Conference title: International Conference on Complex Networks\ nWebsite: https://complenet.github.io/\nSource URL: https://complenet.git hub.io/cfp.html\nLocation: Rochester\, New York\, USA\nTopics: Complex Sy stems & Network Science\, Graphs & Graph Learning\, Nonlinear Dynamics & Chaos\, Computational Neuroscience\nSize: M\nSubmission type: Full/short papers + extended abstracts\nConfidence: confirmed\nLast checked date: 20 26-10-08\nNotes: University of Rochester host. Reviewed long and short pa pers appear in Springer Complexity\; the abstract-only route does not pro duce a proceedings paper. All three routes share the AoE deadline\, with no mandatory abstract-registration gate. Size is an editorial estimate.\n Scope: Network science across mathematical\, biological\, technological a nd social systems\, with characteristic interests in network dynamics\, c ommunity structure\, temporal and multilayer networks\, network neuroscie nce and learning on networks. Long and short reviewed papers are distinct from abstract-only presentations.\nAdditional topics: Time Series & Sequ ential Data\, Data Mining & Data Science\, Machine Learning\nScope source s (2027): https://complenet.github.io/cfp.html\nScope last checked: 2026- 10-08\nOfficial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://complenet.github.io/cfp.html END:VEVENT BEGIN:VEVENT UID:pakdd-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261121T115900Z DTEND:20261121T125900Z SUMMARY:[Data Mining & Data Science][Machine Learning] PAKDD 2027 - Paper s ubmission deadline DESCRIPTION:Conference title: Pacific-Asia Conference on Knowledge Discover y and Data Mining\nWebsite: https://pakdd2027.org/\nSource URL: https://p akdd2027.org/pages/calls/research\nLocation: Wellington\, New Zealand\nTo pics: Data Mining & Data Science\, Machine Learning\, Time Series & Seque ntial Data\, Learning Theory & Statistical Foundations\nSize: L\nSubmissi on type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-10-0 5\nNotes: Official PAKDD 2027 site confirms Wellington\, Jun 29-Jul 2\, a nd Nov 20 research-track submission and Mar 19 camera-ready deadlines\, a ll AoE. URL:https://pakdd2027.org/pages/calls/research END:VEVENT BEGIN:VEVENT UID:ida-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261121T115959Z DTEND:20261121T125959Z SUMMARY:[Data Mining & Data Science][Machine Learning] IDA 2027 - Abstract submission deadline (estimated) DESCRIPTION:Conference title: International Symposium on Intelligent Data A nalysis\nWebsite: https://www.ida-society.org/\nSource URL: https://ida20 26.org/regular-paper-track/\nLocation: Pisa\, Italy\nTopics: Data Mining & Data Science\, Machine Learning\, Probabilistic\, Causal & Uncertainty ML\, Time Series & Sequential Data\nSize: M\nSubmission type: Paper-based / interdisciplinary\nConfidence: estimated\nLast checked date: 2026-10-0 6\nNotes: The official IDA Society site confirms Pisa\, Italy\, in April 2027\, but does not yet give exact days or a CFP. Apr 21-23 is a provisio nal calendar placeholder. Submission dates are estimates preserving the 2 026 CFP lead time and weekday\; verify against the 2027 CFP. URL:https://ida2026.org/regular-paper-track/ END:VEVENT BEGIN:VEVENT UID:bmvc-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261123 DTEND;VALUE=DATE:20261127 SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] BMVC 2026 - Conference DESCRIPTION:Conference title: British Machine Vision Conference\nWebsite: h ttps://bmvc2026.bmva.org/\nSource URL: https://bmvc2026.bmva.org/\nLocati on: Lancaster\, United Kingdom\nTopics: Computer Vision & Pattern Recogni tion\, Machine Learning\, Deep Representation Learning\nSize: L\nSubmissi on type: Paper-based / BMVA proceedings\nConfidence: confirmed\nLast chec ked date: 2026-10-07\nNotes: Official BMVA pages confirm Lancaster and 23 :59 AoE deadlines. The October poster/video upload is for accepted papers \, not a fresh poster submission. L is an editorial size estimate.\nScope : Computer vision\, image processing\, and visual pattern recognition\, i ncluding visual learning\, recognition and segmentation\, reconstruction\ , motion and video analysis\, and evaluation of vision methods. The singl e-track BMVA conference combines methodological and applied vision resear ch. It is an established broad vision venue\, not a specialist biomedical -imaging meeting.\nAdditional topics: Signal Processing\nScope sources (2 026): https://bmvc2026.bmva.org/calls/call-for-papers/\nScope last checke d: 2026-10-07 URL:https://bmvc2026.bmva.org/ LOCATION:Lancaster\, United Kingdom END:VEVENT BEGIN:VEVENT UID:iconip-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261123 DTEND;VALUE=DATE:20261128 SUMMARY:[Machine Learning][Deep Representation Learning] ICONIP 2026 - Conf erence DESCRIPTION:Conference title: International Conference on Neural Informatio n Processing\nWebsite: https://www.iconip2026.org/\nSource URL: https://w ww.iconip2026.org/\nLocation: Melbourne\, Australia\nTopics: Machine Lear ning\, Deep Representation Learning\, Computational Neuroscience\, Signal Processing\nSize: L\nSubmission type: Paper-based\nConfidence: confirmed \nLast checked date: 2026-08-20\nNotes: Official ICONIP 2026 site lists M elbourne\, Nov 23-27\, and the extended paper deadline. URL:https://www.iconip2026.org/ LOCATION:Melbourne\, Australia END:VEVENT BEGIN:VEVENT UID:dynamics-days-us-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261122 DTEND;VALUE=DATE:20261123 SUMMARY:[Nonlinear Dynamics & Chaos][Complex Systems & Network Science] Dyn amics Days US 2027 - Contributed talk/poster abstract submission deadline (cutoff time unannounced) DESCRIPTION:Conference title: Dynamics Days US\nWebsite: https://www.ddays. org/2027/\nSource URL: https://www.ddays.org/2027/abstract-submission/\nL ocation: La Jolla\, California\, USA\nTopics: Nonlinear Dynamics & Chaos\ , Complex Systems & Network Science\, System Identification & Data-driven Dynamics\nSize: M\nSubmission type: Abstract-based\nConfidence: confirme d\nLast checked date: 2026-10-08\nNotes: Official banner confirms January 4-6 at Scripps Seaside Forum. A selection of abstracts becomes single-tr ack talks\; poster contributions are also expected. No archival full-pape r proceedings verified. The November 22 deadline falls in 2026\, before t he January 2027 meeting\; exact cutoff hour is unannounced. Size is an ed itorial estimate.\nScope: Single-track nonlinear science meeting on chaos \, dynamical systems and their interdisciplinary applications. Contribute d abstract selection and poster discussion connect mathematical methods w ith physical\, biological and neural systems. It is an abstract-based mee ting\, not a routine archival full-paper proceedings venue.\nAdditional t opics: Computational Neuroscience\, Time Series & Sequential Data\nScope sources (2027): https://www.ddays.org/2027/\, https://www.ddays.org/2027/ abstract-submission/\nScope last checked: 2026-10-08\nOfficial deadline d ay\; exact cutoff hour/timezone is unannounced. Verify the organizer's su bmission portal. URL:https://www.ddays.org/2027/abstract-submission/ END:VEVENT BEGIN:VEVENT UID:siam-ds-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261124T045900Z DTEND:20261124T055900Z SUMMARY:[Nonlinear Dynamics & Chaos][Complex Systems & Network Science] SIA M DS 2027 - Contributed lecture and poster abstracts DESCRIPTION:Conference title: SIAM Conference on Applications of Dynamical Systems\nWebsite: https://www.siam.org/conferences-events/siam-conference s/ds27/\nSource URL: https://www.siam.org/conferences-events/siam-confere nces/ds27/submissions/\nLocation: Atlanta\, Georgia\, USA\nTopics: Nonlin ear Dynamics & Chaos\, Complex Systems & Network Science\, System Identif ication & Data-driven Dynamics\, Machine Learning\nSize: L\nSubmission ty pe: Abstract-based\nConfidence: confirmed\nLast checked date: 2026-10-06\ nNotes: Biennial SIAM dynamical-systems meeting. Submissions are presenta tion abstracts\, not archival full papers. Official deadlines specify 11: 59 pm Eastern Time\, accounting for daylight saving. Size is an editorial category. URL:https://www.siam.org/conferences-events/siam-conferences/ds27/submissio ns/ END:VEVENT BEGIN:VEVENT UID:cvpr-2027-deadline-supplementary@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261124T115900Z DTEND:20261124T125900Z SUMMARY:[Computer Vision & Pattern Recognition][Deep Representation Learnin g] CVPR 2027 - Supplementary material deadline DESCRIPTION:Conference title: IEEE/CVF Conference on Computer Vision and Pa ttern Recognition\nWebsite: https://cvpr.thecvf.com/Conferences/2027\nSou rce URL: https://cvpr.thecvf.com/Conferences/2027/CallForPapers\nLocation : Seattle\, Washington\, USA\nTopics: Computer Vision & Pattern Recogniti on\, Deep Representation Learning\, Machine Learning\nSize: XXL\nSubmissi on type: Paper-based / OpenReview\nConfidence: confirmed\nLast checked da te: 2026-10-07\nNotes: Official 2027 homepage and CFP confirm Seattle and AoE submission dates. Mandatory registration gates paper submission. XXL is supported by the organizer's description of more than 10\,000 annual attendees. Historical acceptance statistics refer to the main technical p rogram\, not workshops.\nScope: Broad computer vision and pattern recogni tion: visual representations\, recognition and segmentation\, 3D reconstr uction\, computational imaging\, image and video generation\, motion and tracking\, and vision-language learning. Graphics\, multimodal learning\, human face/body understanding\, and reliable vision are substantial recu rring research areas. Peripheral application fields are not tagged merely because a long CFP mentions them.\nAdditional topics: Computer Graphics & Visualization\, Multimedia Learning & Retrieval\, Natural Language Proc essing & LLMs\, Biometrics & Human Sensing\, Robustness & Safety\nScope s ources (2027): https://cvpr.thecvf.com/Conferences/2027/CallForPapers\nSc ope last checked: 2026-10-07 URL:https://cvpr.thecvf.com/Conferences/2027/CallForPapers END:VEVENT BEGIN:VEVENT UID:ida-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261128T115959Z DTEND:20261128T125959Z SUMMARY:[Data Mining & Data Science][Machine Learning] IDA 2027 - Paper sub mission deadline (estimated) DESCRIPTION:Conference title: International Symposium on Intelligent Data A nalysis\nWebsite: https://www.ida-society.org/\nSource URL: https://ida20 26.org/regular-paper-track/\nLocation: Pisa\, Italy\nTopics: Data Mining & Data Science\, Machine Learning\, Probabilistic\, Causal & Uncertainty ML\, Time Series & Sequential Data\nSize: M\nSubmission type: Paper-based / interdisciplinary\nConfidence: estimated\nLast checked date: 2026-10-0 6\nNotes: The official IDA Society site confirms Pisa\, Italy\, in April 2027\, but does not yet give exact days or a CFP. Apr 21-23 is a provisio nal calendar placeholder. Submission dates are estimates preserving the 2 026 CFP lead time and weekday\; verify against the 2027 CFP. URL:https://ida2026.org/regular-paper-track/ END:VEVENT BEGIN:VEVENT UID:acml-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261201 DTEND;VALUE=DATE:20261205 SUMMARY:[Machine Learning][Learning Theory & Statistical Foundations] ACML 2026 - Conference DESCRIPTION:Conference title: Asian Conference on Machine Learning\nWebsite : https://www.acml-conf.org/2026/\nSource URL: https://www.acml-conf.org/ 2026/\nLocation: Melbourne\, Australia\nTopics: Machine Learning\, Learni ng Theory & Statistical Foundations\, Explainability & Interpretability\, Robustness & Safety\nSize: L\nSubmission type: Paper-based / OpenReview\ nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official AC ML 2026 pages list Melbourne\, Dec 1-4\, and the revised conference-track submission deadline.\nScope: Theory and practice of machine learning\, i ncluding probabilistic methods\, representation learning\, transfer and m eta-learning\, reinforcement learning\, and learning theory. Generative m odels\, language models\, and trustworthy learning extend this core. The broad applications list is not treated as evidence that every application field defines the conference.\nAdditional topics: Deep Representation Le arning\, Probabilistic\, Causal & Uncertainty ML\, Reinforcement Learning \, Natural Language Processing & LLMs\, Fairness & Responsible AI\, Priva cy-preserving ML\nScope sources (2026): https://www.acml-conf.org/2026/ca lls/papers/\nScope last checked: 2026-10-07 URL:https://www.acml-conf.org/2026/ LOCATION:Melbourne\, Australia END:VEVENT BEGIN:VEVENT UID:midl-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261201T115900Z DTEND:20261201T125900Z SUMMARY:[Biomedical Imaging][Deep Representation Learning] MIDL 2027 - Full paper registration deadline DESCRIPTION:Conference title: Medical Imaging with Deep Learning\nWebsite: https://2027.midl.io/\nSource URL: https://2027.midl.io/important-dates\n Location: Porto\, Portugal\nTopics: Biomedical Imaging\, Deep Representat ion Learning\, Healthcare & Clinical AI\nSize: M\nSubmission type: Paper- based\nConfidence: confirmed\nLast checked date: 2026-10-06\nNotes: Offic ial 2027 dates page confirms the July meeting\, full-paper registration a nd submission\, and camera-ready dates. Short-paper submission is still T BD.\nScope: Deep learning for biomedical image analysis\, especially segm entation\, detection\, reconstruction\, registration\, generative imaging \, and learning from limited labels. Uncertainty\, interpretability\, mul ti-site learning\, robustness\, and clinical validation extend that imagi ng core. Multimodal foundation models are relevant when grounded in medic al imaging.\nAdditional topics: Computer Vision & Pattern Recognition\, P robabilistic\, Causal & Uncertainty ML\, Explainability & Interpretabilit y\, Robustness & Safety\, Federated & Distributed Learning\nScope sources (2026): https://2026.midl.io/call-for-papers\nScope last checked: 2026-1 0-07 URL:https://2027.midl.io/important-dates END:VEVENT BEGIN:VEVENT UID:complex-networks-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261202 DTEND;VALUE=DATE:20261205 SUMMARY:[Complex Systems & Network Science][Graphs & Graph Learning] COMPLE X NETWORKS 2026 - Conference DESCRIPTION:Conference title: International Conference on Complex Networks and Their Applications\nWebsite: https://complexnetworks.org/\nSource URL : https://complexnetworks.org/\nLocation: Granada\, Spain\nTopics: Comple x Systems & Network Science\, Graphs & Graph Learning\, Nonlinear Dynamic s & Chaos\, Data Mining & Data Science\nSize: L\nSubmission type: Paper-b ased + extended abstracts\nConfidence: confirmed\nLast checked date: 2026 -10-08\nNotes: Main conference December 2-4\; tutorials December 1. Full papers appear in Springer Studies in Computational Intelligence\; extende d abstracts in a separate abstract book. Abstracts are an independent con tribution\, not a prerequisite for full papers. Production cutoff hours a re unannounced. Size is an editorial estimate.\nScope: Structure\, infere nce and dynamics of complex networks\, including community structure\, mu ltilayer and temporal networks\, spreading processes\, graph learning and network neuroscience. Network methods\, rather than a broad inventory of every application\, characterize the meeting. Full papers and extended a bstracts have separate publication outcomes.\nAdditional topics: Time Ser ies & Sequential Data\, Machine Learning\, Computational Neuroscience\nSc ope sources (2026): https://complexnetworks.org/submission/\nScope last c hecked: 2026-10-08 URL:https://complexnetworks.org/ LOCATION:Granada\, Spain END:VEVENT BEGIN:VEVENT UID:dynamics-days-us-2027-deadline-registration@scientific-conference-calen dar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261201 DTEND;VALUE=DATE:20261202 SUMMARY:[Nonlinear Dynamics & Chaos][Complex Systems & Network Science] Dyn amics Days US 2027 - Early registration deadline (cutoff time unannounced ) DESCRIPTION:Conference title: Dynamics Days US\nWebsite: https://www.ddays. org/2027/\nSource URL: https://www.ddays.org/2027/registration/\nLocation : La Jolla\, California\, USA\nTopics: Nonlinear Dynamics & Chaos\, Compl ex Systems & Network Science\, System Identification & Data-driven Dynami cs\nSize: M\nSubmission type: Abstract-based\nConfidence: confirmed\nLast checked date: 2026-10-08\nNotes: Official banner confirms January 4-6 at Scripps Seaside Forum. A selection of abstracts becomes single-track tal ks\; poster contributions are also expected. No archival full-paper proce edings verified. The November 22 deadline falls in 2026\, before the Janu ary 2027 meeting\; exact cutoff hour is unannounced. Size is an editorial estimate.\nScope: Single-track nonlinear science meeting on chaos\, dyna mical systems and their interdisciplinary applications. Contributed abstr act selection and poster discussion connect mathematical methods with phy sical\, biological and neural systems. It is an abstract-based meeting\, not a routine archival full-paper proceedings venue.\nAdditional topics: Computational Neuroscience\, Time Series & Sequential Data\nScope sources (2027): https://www.ddays.org/2027/\, https://www.ddays.org/2027/abstrac t-submission/\nScope last checked: 2026-10-08\nOfficial deadline day\; ex act cutoff hour/timezone is unannounced. Verify the organizer's submissio n portal. URL:https://www.ddays.org/2027/registration/ END:VEVENT BEGIN:VEVENT UID:midl-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261205T115900Z DTEND:20261205T125900Z SUMMARY:[Biomedical Imaging][Deep Representation Learning] MIDL 2027 - Full paper submission deadline DESCRIPTION:Conference title: Medical Imaging with Deep Learning\nWebsite: https://2027.midl.io/\nSource URL: https://2027.midl.io/important-dates\n Location: Porto\, Portugal\nTopics: Biomedical Imaging\, Deep Representat ion Learning\, Healthcare & Clinical AI\nSize: M\nSubmission type: Paper- based\nConfidence: confirmed\nLast checked date: 2026-10-06\nNotes: Offic ial 2027 dates page confirms the July meeting\, full-paper registration a nd submission\, and camera-ready dates. Short-paper submission is still T BD.\nScope: Deep learning for biomedical image analysis\, especially segm entation\, detection\, reconstruction\, registration\, generative imaging \, and learning from limited labels. Uncertainty\, interpretability\, mul ti-site learning\, robustness\, and clinical validation extend that imagi ng core. Multimodal foundation models are relevant when grounded in medic al imaging.\nAdditional topics: Computer Vision & Pattern Recognition\, P robabilistic\, Causal & Uncertainty ML\, Explainability & Interpretabilit y\, Robustness & Safety\, Federated & Distributed Learning\nScope sources (2026): https://2026.midl.io/call-for-papers\nScope last checked: 2026-1 0-07 URL:https://2027.midl.io/important-dates END:VEVENT BEGIN:VEVENT UID:rss-2027-deadline-extended-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261205T115900Z DTEND:20261205T125900Z SUMMARY:[Control & Robotics][Reinforcement Learning] RSS 2027 - Stage 1 ext ended abstract submission deadline DESCRIPTION:Conference title: Robotics: Science and Systems\nWebsite: https ://roboticsconference.org/\nSource URL: https://roboticsconference.org/in formation/cfp/\nLocation: Athens\, Greece\nTopics: Control & Robotics\, R einforcement Learning\, System Identification & Data-driven Dynamics\, Co mputer Vision & Pattern Recognition\nSize: M\nSubmission type: Paper-base d\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: New two-s tage 2027 process requires a six-page initial submission by December 4\, 2026. Only authors invited after review may submit the April final paper\ ; it is not a fresh-paper route after stage 1 closes. Size is an editoria l estimate.\nScope: Focused robotics research linking perception\, learni ng\, planning\, control\, manipulation\, and robot-system science. Reinfo rcement and imitation learning\, model-based behavior\, and reliable auto nomous systems are characteristic intersections. The 2027 review process emphasizes a scientifically developed robotic hypothesis through gated in itial and invited final submissions.\nAdditional topics: Planning & Searc h\, Deep Representation Learning\, Probabilistic\, Causal & Uncertainty M L\, Robustness & Safety\nScope sources (2027): https://roboticsconference .org/information/cfp/\nScope last checked: 2026-10-07 URL:https://roboticsconference.org/information/cfp/ END:VEVENT BEGIN:VEVENT UID:dynamics-days-lac-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261206 DTEND;VALUE=DATE:20261212 SUMMARY:[Nonlinear Dynamics & Chaos][Complex Systems & Network Science] Dyn amics Days LAC 2026 - Conference DESCRIPTION:Conference title: Dynamics Days Latin America and the Caribbean \nWebsite: https://fisica.ufpr.br/DDaysLAC2026/index.html\nSource URL: ht tps://fisica.ufpr.br/DDaysLAC2026/index.html\nLocation: Curitiba\, Brazil \nTopics: Nonlinear Dynamics & Chaos\, Complex Systems & Network Science\ , Time Series & Sequential Data\, Computational Neuroscience\nSize: M\nSu bmission type: Abstract-based\nConfidence: confirmed\nLast checked date: 2026-10-08\nNotes: Latest organizer cutoff is October 10. Biennial meetin g resumed in 2024 after the pandemic gap. Contributions are talk/poster a bstracts\; no current full-paper proceedings commitment verified. Exact c utoff hour is unannounced. Size is an editorial estimate.\nScope: Nonline ar and complex systems across disciplines\, including chaos\, synchroniza tion\, networks\, time series\, neurodynamics and learning-based modeling . The Latin American and Caribbean meeting supports contributed scientifi c talks and posters through abstracts\, with an explicit interest in cros s-disciplinary nonlinear science.\nAdditional topics: Machine Learning\, Graphs & Graph Learning\, Control & Robotics\nScope sources (2026): https ://fisica.ufpr.br/DDaysLAC2026/page1.html\nScope last checked: 2026-10-08 URL:https://fisica.ufpr.br/DDaysLAC2026/index.html LOCATION:Curitiba\, Brazil END:VEVENT BEGIN:VEVENT UID:ml4h-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261206 DTEND;VALUE=DATE:20261208 SUMMARY:[Healthcare & Clinical AI][Machine Learning] ML4H 2026 - Conference DESCRIPTION:Conference title: Machine Learning for Health Symposium\nWebsit e: https://ml4h.ahli.cc/\nSource URL: https://ml4h.ahli.cc/\nLocation: Sy dney\, Australia\nTopics: Healthcare & Clinical AI\, Machine Learning\, T ime Series & Sequential Data\, Deep Representation Learning\nSize: M\nSub mission type: Proceedings + findings tracks\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official ML4H 2026 pages list symposium dates\, location\, and paper deadline. URL:https://ml4h.ahli.cc/ LOCATION:Sydney\, Australia END:VEVENT BEGIN:VEVENT UID:neurips-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261206 DTEND;VALUE=DATE:20261213 SUMMARY:[Machine Learning][Deep Representation Learning] NeurIPS 2026 - Con ference DESCRIPTION:Conference title: Conference on Neural Information Processing S ystems\nWebsite: https://neurips.cc/Conferences/2026\nSource URL: https:/ /neurips.cc/Conferences/2026/Dates\nLocation: Sydney\, Australia\nTopics: Machine Learning\, Deep Representation Learning\, Time Series & Sequenti al Data\, Explainability & Interpretability\nSize: XXL\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official NeurIPS 2026 dates page lists meeting dates and main paper subm ission deadlines.\nScope: Broad research in machine learning\, especially deep and generative models\, statistical foundations\, optimization\, pr obabilistic inference\, and learning for decision-making. Language\, visi on\, and scalable ML systems are important research communities. Interdis ciplinary applications should contribute insight of wider interest to the machine-learning community.\nAdditional topics: Learning Theory & Statis tical Foundations\, Probabilistic\, Causal & Uncertainty ML\, Reinforceme nt Learning\, Natural Language Processing & LLMs\, Computer Vision & Patt ern Recognition\, ML Systems & Infrastructure\nScope sources (2026): http s://neurips.cc/Conferences/2026/CallForPapers\nScope last checked: 2026-1 0-07 URL:https://neurips.cc/Conferences/2026/Dates LOCATION:Sydney\, Australia END:VEVENT BEGIN:VEVENT UID:icaps-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261208T115900Z DTEND:20261208T125900Z SUMMARY:[Planning & Search][Knowledge Representation & Reasoning] ICAPS 202 7 - Paper abstract registration deadline DESCRIPTION:Conference title: International Conference on Automated Plannin g and Scheduling\nWebsite: https://icaps27.icaps-conference.org/\nSource URL: https://icaps27.icaps-conference.org/calls/cfp/\nLocation: Columbia\ , South Carolina\, USA\nTopics: Planning & Search\, Knowledge Representat ion & Reasoning\, Machine Learning\, Control & Robotics\nSize: M\nSubmiss ion type: Long and short papers / automated planning\nConfidence: confirm ed\nLast checked date: 2026-10-07\nNotes: Official CFP confirms the meeti ng and 23:59 UTC-12 abstract/paper deadlines. Learning and foundation-mod el papers require a substantive planning or scheduling contribution\; rei nforcement learning alone is explicitly outside the main-track scope. M i s an editorial size estimate.\nScope: Automated planning and scheduling\, heuristic search\, constraint-based reasoning\, temporal and hierarchica l planning\, and planning under uncertainty. Learning and foundation mode ls fit when they substantially advance planning or scheduling\, including model acquisition and search guidance. The main CFP explicitly excludes reinforcement-learning papers without a substantive planning contribution \; general reward-based learning is not a blanket tag.\nAdditional topics : Probabilistic\, Causal & Uncertainty ML\nScope sources (2027): https:// icaps27.icaps-conference.org/calls/cfp/\nScope last checked: 2026-10-07 URL:https://icaps27.icaps-conference.org/calls/cfp/ END:VEVENT BEGIN:VEVENT UID:fmts-neurips-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261211 DTEND;VALUE=DATE:20261212 SUMMARY:[Time Series & Sequential Data][Machine Learning] FMTS @ NeurIPS 20 26 (day TBA) - Conference (estimated) DESCRIPTION:Conference title: Foundation Models for Temporal Systems: From Forecasting to World Modeling\nWebsite: https://fmts-workshop.github.io/\ nSource URL: https://fmts-workshop.github.io/\nLocation: Sydney\, Austral ia\nTopics: Time Series & Sequential Data\, Machine Learning\, Deep Repre sentation Learning\, Probabilistic\, Causal & Uncertainty ML\nSize: S\nSu bmission type: Workshop / non-archival short paper\nConfidence: estimated \nLast checked date: 2026-10-05\nNotes: Confirmed one-day NeurIPS 2026 wo rkshop. NeurIPS will assign either Dec 11 or Dec 12\; Dec 11 is a calenda r placeholder\, not a confirmed workshop day. The Nov 6 camera-ready date is tentative and is not listed as a deadline.\nScope: Foundation models for temporal systems\, centered on long-horizon and probabilistic forecas ting\, temporal pretraining\, generative simulation\, irregularly sampled and multimodal sequences\, and state-space architectures. Reliability is a defining theme: distribution shift\, calibrated uncertainty\, leakage- aware benchmarks\, and consistency of simulated trajectories.\nAdditional topics: System Identification & Data-driven Dynamics\, Robustness & Safe ty\nScope sources (2026): https://fmts-workshop.github.io/cfp.html\nScope last checked: 2026-10-07 URL:https://fmts-workshop.github.io/ LOCATION:Sydney\, Australia END:VEVENT BEGIN:VEVENT UID:ieee-bhi-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261212 DTEND;VALUE=DATE:20261216 SUMMARY:[Healthcare & Clinical AI][Data Mining & Data Science] IEEE BHI 202 6 - Conference DESCRIPTION:Conference title: IEEE EMBS International Conference on Biomedi cal and Health Informatics\nWebsite: https://bhi.embs.org/2026/\nSource U RL: https://bhi.embs.org/2026/\nLocation: Hong Kong\, China\nTopics: Heal thcare & Clinical AI\, Data Mining & Data Science\, Machine Learning\, Hu man-AI Interaction & Deployment\nSize: M\nSubmission type: Paper-based\nC onfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official BHI 2026 pages list conference dates\, location\, and submission deadlines. URL:https://bhi.embs.org/2026/ LOCATION:Hong Kong\, China END:VEVENT BEGIN:VEVENT UID:ieee-bigdata-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261214 DTEND;VALUE=DATE:20261218 SUMMARY:[Data Mining & Data Science][Machine Learning] IEEE BigData 2026 - Conference DESCRIPTION:Conference title: IEEE International Conference on Big Data\nWe bsite: https://bigdataieee.org/BigData2026/\nSource URL: https://bigdatai eee.org/BigData2026/\nLocation: Phoenix\, Arizona\, USA\nTopics: Data Min ing & Data Science\, Machine Learning\, Time Series & Sequential Data\, F ederated & Distributed Learning\nSize: L\nSubmission type: Paper-based / mixed tracks\nConfidence: confirmed\nLast checked date: 2026-09-14\nNotes : Official IEEE BigData 2026 CFP confirms Phoenix\, Dec 14-17\, the Aug 2 1 full-paper deadline\, and the Nov 14 camera-ready deadline. URL:https://bigdataieee.org/BigData2026/ LOCATION:Phoenix\, Arizona\, USA END:VEVENT BEGIN:VEVENT UID:ieee-cdc-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261215 DTEND;VALUE=DATE:20261219 SUMMARY:[Control & Robotics][System Identification & Data-driven Dynamics] IEEE CDC 2026 - Conference DESCRIPTION:Conference title: IEEE Conference on Decision and Control\nWebs ite: https://cdc2026.ieeecss.org/\nSource URL: https://cdc2026.ieeecss.or g/\nLocation: Honolulu\, Hawaii\, USA\nTopics: Control & Robotics\, Syste m Identification & Data-driven Dynamics\, Nonlinear Dynamics & Chaos\, Re inforcement Learning\nSize: XL\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-10-06\nNotes: Annual IEEE CSS confere nce. Main meeting excludes December 14 workshops. No current ICORE rank i s inferred from the removed CORE2018 listing. Deadline cutoff hours use e stimated end-of-day AoE. Size is an editorial category. URL:https://cdc2026.ieeecss.org/ LOCATION:Honolulu\, Hawaii\, USA END:VEVENT BEGIN:VEVENT UID:aaai-2027-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261215T115900Z DTEND:20261215T125900Z SUMMARY:[Machine Learning][Deep Representation Learning] AAAI 2027 - Camera -ready deadline DESCRIPTION:Conference title: AAAI Conference on Artificial Intelligence\nW ebsite: https://aaai.org/conference/aaai/aaai-27/\nSource URL: https://aa ai.org/conference/aaai/aaai-27/\nLocation: Montreal\, Canada\nTopics: Mac hine Learning\, Deep Representation Learning\, Data Mining & Data Science \, Fairness & Responsible AI\nSize: XXL\nSubmission type: Paper-based / O penReview\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: O fficial AAAI-27 pages list the conference dates\, OpenReview timetable\, and main technical track deadlines. URL:https://aaai.org/conference/aaai/aaai-27/ END:VEVENT BEGIN:VEVENT UID:icaps-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261215T115900Z DTEND:20261215T125900Z SUMMARY:[Planning & Search][Knowledge Representation & Reasoning] ICAPS 202 7 - Long and short paper submission deadline DESCRIPTION:Conference title: International Conference on Automated Plannin g and Scheduling\nWebsite: https://icaps27.icaps-conference.org/\nSource URL: https://icaps27.icaps-conference.org/calls/cfp/\nLocation: Columbia\ , South Carolina\, USA\nTopics: Planning & Search\, Knowledge Representat ion & Reasoning\, Machine Learning\, Control & Robotics\nSize: M\nSubmiss ion type: Long and short papers / automated planning\nConfidence: confirm ed\nLast checked date: 2026-10-07\nNotes: Official CFP confirms the meeti ng and 23:59 UTC-12 abstract/paper deadlines. Learning and foundation-mod el papers require a substantive planning or scheduling contribution\; rei nforcement learning alone is explicitly outside the main-track scope. M i s an editorial size estimate.\nScope: Automated planning and scheduling\, heuristic search\, constraint-based reasoning\, temporal and hierarchica l planning\, and planning under uncertainty. Learning and foundation mode ls fit when they substantially advance planning or scheduling\, including model acquisition and search guidance. The main CFP explicitly excludes reinforcement-learning papers without a substantive planning contribution \; general reward-based learning is not a blanket tag.\nAdditional topics : Probabilistic\, Causal & Uncertainty ML\nScope sources (2027): https:// icaps27.icaps-conference.org/calls/cfp/\nScope last checked: 2026-10-07 URL:https://icaps27.icaps-conference.org/calls/cfp/ END:VEVENT BEGIN:VEVENT UID:bci-winter-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261215 DTEND;VALUE=DATE:20261216 SUMMARY:[BCI & Neurotechnology][EEG/MEG & Neural Signals] BCI Winter 2027 - Estimated paper submission deadline (estimated) (cutoff time unannounced ) DESCRIPTION:Conference title: International Winter Conference on Brain-Comp uter Interface\nWebsite: https://brain.korea.ac.kr/bci2027/\nSource URL: https://brain.korea.ac.kr/bci2026/authorinstructions.php\nLocation: Jeong seon\, South Korea\nTopics: BCI & Neurotechnology\, EEG/MEG & Neural Sign als\, Signal Processing\, Machine Learning\nSize: M\nSubmission type: Pap er-based\nConfidence: estimated\nLast checked date: 2026-10-08\nNotes: Co -organizer confirms February 22-24\, 2027 at High1 Resort\, Jeongseon. Th e 2027 deadline is unannounced\; December 15 is a one-year proxy from the final 2026 author instructions and CFP\, which supersede an older Octobe r date. Prior six-page papers use IEEE proceedings subject to IEEE qualit y review\; the 2027 publication details await the final CFP. The exact cu toff hour is unknown. Size is an editorial estimate.\nScope: Brain-comput er interfaces\, neural signal decoding\, multimodal brain measurements\, neurofeedback and adaptive interfaces. Machine learning is central to bio signal classification and decoding\; neurorehabilitation and interaction with real or virtual environments are characteristic applications. IEEE-s tyle reviewed research papers are the established publication route.\nAdd itional topics: Healthcare & Clinical AI\, Neuroimaging & Brain Mapping\n Scope sources (2027): https://brain.korea.ac.kr/bci2027/callforpaper.php\ , https://brain.korea.ac.kr/bci2026/assets/CFP_BCI2026.pdf\nScope last ch ecked: 2026-10-08\nOfficial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://brain.korea.ac.kr/bci2026/authorinstructions.php END:VEVENT BEGIN:VEVENT UID:ohbm-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261216T115900Z DTEND:20261216T125900Z SUMMARY:[Neuroimaging & Brain Mapping][EEG/MEG & Neural Signals] OHBM 2027 - Abstract submission deadline (estimated) DESCRIPTION:Conference title: Organization for Human Brain Mapping Annual M eeting\nWebsite: https://humanbrainmapping.org/ohbm-2027/\nSource URL: ht tps://humanbrainmapping.org/ohbm-2027/\nLocation: Toronto\, Canada\nTopic s: Neuroimaging & Brain Mapping\, EEG/MEG & Neural Signals\, Healthcare & Clinical AI\, Computational Neuroscience\nSize: XL\nSubmission type: Abs tract-based / talks selective\nConfidence: estimated\nLast checked date: 2026-10-05\nNotes: Official OHBM 2027 page confirms Toronto and Jun 26-30 \, 2027\; it publishes the abstract window only as December 2026\, so the exact deadline remains estimated. URL:https://humanbrainmapping.org/ohbm-2027/ END:VEVENT BEGIN:VEVENT UID:icmr-2027-deadline-workshop@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261216T115959Z DTEND:20261216T125959Z SUMMARY:[Multimedia Learning & Retrieval][Computer Vision & Pattern Recogni tion] ICMR 2027 - Workshop proposal deadline DESCRIPTION:Conference title: ACM SIGMM International Conference on Multime dia Retrieval\nWebsite: https://www.icmr2027.org/\nSource URL: https://ww w.icmr2027.org/date\nLocation: Singapore\nTopics: Multimedia Learning & R etrieval\, Computer Vision & Pattern Recognition\, Machine Learning\, Dee p Representation Learning\nSize: M\nSubmission type: Full and short paper s / multimedia retrieval\nConfidence: confirmed\nLast checked date: 2026- 10-07\nNotes: Official dates explicitly use 23:59:59 AoE and confirm Sing apore\, June 7-10. Full/short and Brave New Ideas papers share January 31 \; separate reproducibility/demo dates are not generalized to unrestricte d main papers. The regular-paper submission portal is not yet announced. M is an editorial size estimate.\nScope: Search and retrieval of multimed ia and multimodal content. Characteristic work studies indexing\, content understanding\, query representations\, cross-modal matching\, relevance feedback\, recommendation\, and evaluation\, with deep learning and mult imodal models as important methods. Privacy-aware retrieval and knowledge discovery extend this core. The long applications list is not used to ch aracterize ICMR as a medicine\, finance\, or travel venue.\nAdditional to pics: Data Mining & Data Science\, Natural Language Processing & LLMs\, P rivacy-preserving ML\nScope sources (2027): https://www.icmr2027.org/cfc\ nScope last checked: 2026-10-07 URL:https://www.icmr2027.org/date END:VEVENT BEGIN:VEVENT UID:satml-2027-deadline-notification@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261217T115900Z DTEND:20261217T125900Z SUMMARY:[Robustness & Safety][Privacy-preserving ML] SaTML 2027 - Decision notification DESCRIPTION:Conference title: IEEE Conference on Secure and Trustworthy Mac hine Learning\nWebsite: https://satml.org/\nSource URL: https://satml.org /call-for-papers/\nLocation: Reykjavik\, Iceland\nTopics: Robustness & Sa fety\, Privacy-preserving ML\, Fairness & Responsible AI\, Explainability & Interpretability\nSize: M\nSubmission type: Paper-based / systematizat ion of knowledge / position papers\nConfidence: confirmed\nLast checked d ate: 2026-10-07\nNotes: Fifth annual edition. Main meeting May 4-6\; work shops May 3. The mandatory registration and new-paper deadlines have pass ed. Revisions are restricted to existing submissions and do not reopen ne w-paper opportunities. Camera-ready is only announced as mid-February\, e xact date TBC\, so no exact camera-ready event is invented. Size M is an editorial estimate.\nScope: Security\, safety\, and trustworthiness of ma chine learning. Characteristic work studies attacks and defenses\, privac y\, verification\, ML-system security\, fairness\, interpretability\, and trustworthy data curation. Theoretical\, empirical\, and applied papers must engage substantively with a safety or trustworthiness question\; mer ely using an ML model is insufficient.\nAdditional topics: Machine Learni ng\, ML Systems & Infrastructure\nScope sources (2027): https://satml.org /call-for-papers/\nScope last checked: 2026-10-07 URL:https://satml.org/call-for-papers/ END:VEVENT BEGIN:VEVENT UID:nice-2027-deadline-notification@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20261220 DTEND;VALUE=DATE:20261221 SUMMARY:[Neuromorphic & Brain-inspired Computing][Computational Neuroscienc e] NICE 2027 - Regular paper acceptance notification (cutoff time unannou nced) DESCRIPTION:Conference title: Neuro Inspired Computational Elements Confere nce\nWebsite: https://niceworkshop.org/nice-2027/\nSource URL: https://ea sychair.org/cfp/nice2027\nLocation: Brighton\, United Kingdom\nTopics: Ne uromorphic & Brain-inspired Computing\, Computational Neuroscience\, Mach ine Learning\, BCI & Neurotechnology\nSize: M\nSubmission type: Research papers + late-breaking abstracts\nConfidence: confirmed\nLast checked dat e: 2026-10-08\nNotes: Main conference April 6-8\; dedicated tutorials Apr il 9. Accepted proceedings research papers are published through IEEE\; l ate-breaking abstracts are non-archival\, and some poster contributions m ay not enter the proceedings. Neither a scheduled opening nor a live subm ission portal has been verified. Size is an editorial estimate.\nScope: N euromorphic and brain-inspired computing at the intersection of neuroscie nce\, algorithms and hardware. Characteristic work includes spiking neura l networks\, learning in neural systems\, event-driven computation\, neur omorphic processors and embodied applications. Research papers and late-b reaking abstracts are different contribution routes.\nAdditional topics: ML Systems & Infrastructure\, Deep Representation Learning\, Control & Ro botics\nScope sources (2027): https://easychair.org/cfp/nice2027\nScope l ast checked: 2026-10-08\nOfficial deadline day\; exact cutoff hour/timezo ne is unannounced. Verify the organizer's submission portal. URL:https://easychair.org/cfp/nice2027 END:VEVENT BEGIN:VEVENT UID:coling-2027-deadline-commitment@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261224T115900Z DTEND:20261224T125900Z SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] COLING 2027 - Commitment of ARR-reviewed papers DESCRIPTION:Conference title: International Conference on Computational Lin guistics\nWebsite: https://2027.coling-iccl.org/\nSource URL: https://202 7.coling-iccl.org/calls/main_conference_papers/\nLocation: Macau\, China\ nTopics: Natural Language Processing & LLMs\, Deep Representation Learnin g\, Knowledge Representation & Reasoning\, LLM Agents & Tool Use\nSize: X L\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date : 2026-10-07\nNotes: Main in-person window May 9-14\; separate virtual se ssions May 6-7. Shared ARR cycle with NAACL does not permit dual commitme nt. Recent COLING cadence is irregular\; no automatic annual forecast. Si ze is an editorial estimate.\nScope: Computational linguistics and langua ge processing spanning linguistic theory\, multilinguality\, semantics an d structured prediction\, language models\, dialogue\, and empirical eval uation. Agentic language systems and knowledge-grounded NLP are relevant\ ; the defining contribution should concern language\, not a peripheral ap plication domain.\nAdditional topics: Information Retrieval & Search\, Co gnitive Science & Computational Cognition\, Explainability & Interpretabi lity\, Fairness & Responsible AI\nScope sources (2027): https://2027.coli ng-iccl.org/calls/main_conference_papers/\nScope last checked: 2026-10-07 URL:https://2027.coling-iccl.org/calls/main_conference_papers/ END:VEVENT BEGIN:VEVENT UID:naacl-2027-deadline-commitment@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20261224T115900Z DTEND:20261224T125900Z SUMMARY:[Natural Language Processing & LLMs][LLM Agents & Tool Use] NAACL 2 027 - Commitment of ARR-reviewed papers DESCRIPTION:Conference title: Conference of the Nations of the Americas Cha pter of the Association for Computational Linguistics\nWebsite: https://2 027.naacl.org/\nSource URL: https://2027.naacl.org/calls/main_conference_ papers/\nLocation: San Francisco\, California\, USA\nTopics: Natural Lang uage Processing & LLMs\, LLM Agents & Tool Use\, Information Retrieval & Search\, Deep Representation Learning\nSize: XL\nSubmission type: Paper-b ased\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Former ly North American Chapter\; retains NAACL acronym. Shares October ARR cyc le with COLING\, but authors may commit to only one primary venue. Commit ment is not a fresh-paper route. Size is an editorial estimate.\nScope: L anguage technologies and computational linguistics across the Americas co mmunity\, covering multilingual and low-resource NLP\, language models\, dialogue\, retrieval\, evaluation\, and linguistic analysis. The 2027 the me concerns language as a medium for agentic communication\, not merely r unning multiple models. General application domains are not standalone sp ecialist tags.\nAdditional topics: Autonomous Agents & Multiagent Systems \, Cognitive Science & Computational Cognition\, Fairness & Responsible A I\, Robustness & Safety\, Human-AI Interaction & Deployment\nScope source s (2027): https://2027.naacl.org/calls/main_conference_papers/\nScope las t checked: 2026-10-07 URL:https://2027.naacl.org/calls/main_conference_papers/ END:VEVENT BEGIN:VEVENT UID:dynamics-days-us-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270104 DTEND;VALUE=DATE:20270107 SUMMARY:[Nonlinear Dynamics & Chaos][Complex Systems & Network Science] Dyn amics Days US 2027 - Conference DESCRIPTION:Conference title: Dynamics Days US\nWebsite: https://www.ddays. org/2027/\nSource URL: https://www.ddays.org/2027/\nLocation: La Jolla\, California\, USA\nTopics: Nonlinear Dynamics & Chaos\, Complex Systems & Network Science\, System Identification & Data-driven Dynamics\nSize: M\n Submission type: Abstract-based\nConfidence: confirmed\nLast checked date : 2026-10-08\nNotes: Official banner confirms January 4-6 at Scripps Seas ide Forum. A selection of abstracts becomes single-track talks\; poster c ontributions are also expected. No archival full-paper proceedings verifi ed. The November 22 deadline falls in 2026\, before the January 2027 meet ing\; exact cutoff hour is unannounced. Size is an editorial estimate.\nS cope: Single-track nonlinear science meeting on chaos\, dynamical systems and their interdisciplinary applications. Contributed abstract selection and poster discussion connect mathematical methods with physical\, biolo gical and neural systems. It is an abstract-based meeting\, not a routine archival full-paper proceedings venue.\nAdditional topics: Computational Neuroscience\, Time Series & Sequential Data\nScope sources (2027): http s://www.ddays.org/2027/\, https://www.ddays.org/2027/abstract-submission/ \nScope last checked: 2026-10-08 URL:https://www.ddays.org/2027/ LOCATION:La Jolla\, California\, USA END:VEVENT BEGIN:VEVENT UID:acl-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270105T115900Z DTEND:20270105T125900Z SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] ACL 2027 - ARR paper submission deadline DESCRIPTION:Conference title: Annual Meeting of the Association for Computa tional Linguistics\nWebsite: https://2027.aclweb.org/\nSource URL: https: //2027.aclweb.org/calls/main/\nLocation: Kyoto\, Japan\nTopics: Natural L anguage Processing & LLMs\, Deep Representation Learning\, LLM Agents & T ool Use\, Information Retrieval & Search\nSize: XXL\nSubmission type: Pap er-based\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Of ficial site confirms Kyoto\, August 17-22 and January 4 ARR cutoff at 23: 59 AoE. Main sessions August 20-22\; tutorials/workshops earlier. Commitm ent dates are unannounced. Size is an editorial estimate.\nScope: Computa tional linguistics and language processing: language modeling\, linguisti c structure\, multilinguality and translation\, generation\, dialogue\, r esources\, and evaluation. Language-grounded agent and retrieval work is relevant. The 2027 theme examines homogenization and knowledge collapse i n LLMs. A language contribution remains central\; general medical or robo tics applications do not make this a specialist venue.\nAdditional topics : Cognitive Science & Computational Cognition\, Explainability & Interpre tability\, Fairness & Responsible AI\, Human-AI Interaction & Deployment\ , Knowledge Representation & Reasoning\nScope sources (2027): https://202 7.aclweb.org/calls/main/\nScope last checked: 2026-10-07 URL:https://2027.aclweb.org/calls/main/ END:VEVENT BEGIN:VEVENT UID:ijcai-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270105T115900Z DTEND:20270105T125900Z SUMMARY:[Machine Learning][Deep Representation Learning] IJCAI 2027 - Abstr act submission deadline DESCRIPTION:Conference title: International Joint Conference on Artificial Intelligence\nWebsite: https://2027.ijcai.org/\nSource URL: https://2027. ijcai.org/\nLocation: Kyoto\, Japan\nTopics: Machine Learning\, Deep Repr esentation Learning\, Learning Theory & Statistical Foundations\, Fairnes s & Responsible AI\nSize: XL\nSubmission type: Paper-based\nConfidence: c onfirmed\nLast checked date: 2026-10-06\nNotes: Official IJCAI 2027 site confirms the Kyoto main meeting Aug 7-13 and Jan 4 abstract/Jan 11 paper deadlines\, all 23:59 AoE. A separate Hengqin satellite event is not dupl icated as a main conference. URL:https://2027.ijcai.org/ END:VEVENT BEGIN:VEVENT UID:wacv-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270106 DTEND;VALUE=DATE:20270109 SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] WACV 2027 - Conference DESCRIPTION:Conference title: IEEE/CVF Winter Conference on Applications of Computer Vision\nWebsite: https://wacv.thecvf.com/Conferences/2027\nSour ce URL: https://wacv.thecvf.com/Conferences/2027\nLocation: Lake Buena Vi sta\, Florida\, USA\nTopics: Computer Vision & Pattern Recognition\, Mach ine Learning\, Deep Representation Learning\nSize: XL\nSubmission type: P aper-based / two independent submission rounds\nConfidence: confirmed\nLa st checked date: 2026-10-07\nNotes: Official CFP confirms separate enroll ment gates for both new-paper rounds at 23:59 AoE. Both are already close d despite the future camera-ready deadline. Main conference is January 6- 8 at Disney Springs\; workshops run January 4-5. XL is an editorial estim ate\, not an acceptance-rate proxy.\nScope: Applied computer vision and v isual learning\, with an emphasis on practical recognition\, detection\, segmentation\, image/video analysis\, 3D perception\, and deployable visu al systems. Human analysis and multimodal visual methods are established areas. Compared with the flagship trio\, WACV particularly welcomes meani ngful application-driven contributions supported by sound evaluation\; it s two submission rounds are routes\, not different fields.\nAdditional to pics: Signal Processing\, Biometrics & Human Sensing\, Multimedia Learnin g & Retrieval\nScope sources (2027): https://wacv.thecvf.com/Conferences/ 2027/CallForPapers\nScope last checked: 2026-10-07 URL:https://wacv.thecvf.com/Conferences/2027 LOCATION:Lake Buena Vista\, Florida\, USA END:VEVENT BEGIN:VEVENT UID:netsci-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270110T115900Z DTEND:20270110T125900Z SUMMARY:[Complex Systems & Network Science][Data Mining & Data Science] Net Sci 2027 - Presentation abstracts (estimated) DESCRIPTION:Conference title: International School and Conference on Networ k Science\nWebsite: https://netsci2027.github.io/\nSource URL: https://ww w.netsci2026.com/\nLocation: Dresden\, Germany\nTopics: Complex Systems & Network Science\, Data Mining & Data Science\, Nonlinear Dynamics & Chao s\nSize: L\nSubmission type: Abstract-based\nConfidence: estimated\nLast checked date: 2026-10-06\nNotes: Official annual NetSci school/conference in Dresden\, distinct from NetSciX. 2027 CFP not yet published\; January abstract timing is a prior-edition proxy\, not confirmation. Presentatio n route rather than assumed archival proceedings. Size is an editorial ca tegory. URL:https://www.netsci2026.com/ END:VEVENT BEGIN:VEVENT UID:fg-2027-deadline-workshop-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270112T115900Z DTEND:20270112T125900Z SUMMARY:[Biometrics & Human Sensing][Computer Vision & Pattern Recognition] FG 2027 - Workshop paper submission deadline DESCRIPTION:Conference title: IEEE International Conference on Automatic Fa ce and Gesture Recognition\nWebsite: https://fg2027.ieee-biometrics.org/\ nSource URL: https://fg2027.ieee-biometrics.org/dates/\nLocation: Marrake sh\, Morocco\nTopics: Biometrics & Human Sensing\, Computer Vision & Patt ern Recognition\, Deep Representation Learning\, Machine Learning\nSize: M\nSubmission type: Long and short papers / face\, gesture\, and body rec ognition\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Of ficial CFP and dates page updated October 5 extend the abstract and paper deadlines to October 23 and 30\, replacing October 9 and 16. Cutoffs are AoE. Full event includes April 26/30 workshops\; main sessions are April 27-29. CMT opening is announced for September 25 without an exact hour\; no portal-open observation is fabricated. M is an editorial estimate.\nS cope: Face\, gesture\, body movement\, and human behavior from images and video\, including detection\, tracking\, recognition\, facial expression and affect\, pose and action analysis\, and soft biometrics. Characteris tic methods include advanced visual learning\, generative modeling and ne ural rendering\, multimodal fusion\, and evaluation across demographic an d acquisition conditions. Bias\, interpretability\, and robust recognitio n are directly tied to human sensing rather than generic application tags .\nAdditional topics: Robustness & Safety\, Fairness & Responsible AI\, C omputer Graphics & Visualization\, Explainability & Interpretability\nSco pe sources (2027): https://fg2027.ieee-biometrics.org/call-for-papers/\nS cope last checked: 2026-10-07 URL:https://fg2027.ieee-biometrics.org/dates/ END:VEVENT BEGIN:VEVENT UID:ijcai-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270112T115900Z DTEND:20270112T125900Z SUMMARY:[Machine Learning][Deep Representation Learning] IJCAI 2027 - Full paper submission deadline DESCRIPTION:Conference title: International Joint Conference on Artificial Intelligence\nWebsite: https://2027.ijcai.org/\nSource URL: https://2027. ijcai.org/\nLocation: Kyoto\, Japan\nTopics: Machine Learning\, Deep Repr esentation Learning\, Learning Theory & Statistical Foundations\, Fairnes s & Responsible AI\nSize: XL\nSubmission type: Paper-based\nConfidence: c onfirmed\nLast checked date: 2026-10-06\nNotes: Official IJCAI 2027 site confirms the Kyoto main meeting Aug 7-13 and Jan 4 abstract/Jan 11 paper deadlines\, all 23:59 AoE. A separate Hengqin satellite event is not dupl icated as a main conference. URL:https://2027.ijcai.org/ END:VEVENT BEGIN:VEVENT UID:sigir-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270114 DTEND;VALUE=DATE:20270115 SUMMARY:[Information Retrieval & Search][Recommender Systems] SIGIR 2027 - Proposed full-paper abstract deadline (estimated) (cutoff time unannounce d) DESCRIPTION:Conference title: ACM International Conference on Research and Development in Information Retrieval\nWebsite: https://sigir2027.org/\nSo urce URL: https://sigir2027.org/pages/submit-full.html\nLocation: San Jos e\, California\, USA\nTopics: Information Retrieval & Search\, Recommende r Systems\, Natural Language Processing & LLMs\, Machine Learning\nSize: XL\nSubmission type: Paper-based\nConfidence: estimated\nLast checked dat e: 2026-10-07\nNotes: Homepage confirms July 18-24 conference week (title says July 19-24). CFP explicitly labels the deadline table PROPOSED\; re tain estimated deadlines rather than presenting these as finalized cutoff s. Mandatory abstract gate. Size is an editorial estimate.\nScope: Inform ation access\, search and ranking\, query and content understanding\, rec ommendation\, conversational and multimodal retrieval\, and evaluation of retrieval systems. Learning and language models are relevant through an information-retrieval contribution\, including retrieval-augmented genera tion. The 2027 detailed track pages contain organizer placeholders\; scop e should be rechecked when finalized.\nAdditional topics: Multimedia Lear ning & Retrieval\, Human-AI Interaction & Deployment\, Fairness & Respons ible AI\, ML Systems & Infrastructure\nScope sources (2027): https://sigi r2027.org/pages/submit-full.html\nScope last checked: 2026-10-07\nOfficia l deadline day\; exact cutoff hour/timezone is unannounced. Verify the or ganizer's submission portal. URL:https://sigir2027.org/pages/submit-full.html END:VEVENT BEGIN:VEVENT UID:acm-siggraph-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270115T220000Z DTEND:20270115T230000Z SUMMARY:[Computer Graphics & Visualization][Machine Learning] ACM SIGGRAPH 2027 - Technical-paper submission form deadline (estimated) DESCRIPTION:Conference title: ACM SIGGRAPH Annual Conference\nWebsite: http s://s2027.siggraph.org/\nSource URL: https://s2026.siggraph.org/program/t echnical-papers/\nLocation: Anaheim\, California\, USA\nTopics: Computer Graphics & Visualization\, Machine Learning\, Computer Vision & Pattern R ecognition\nSize: XXL\nSubmission type: Technical papers / conference and ACM TOG tracks\nConfidence: estimated\nLast checked date: 2026-10-07\nNo tes: ACM SIGGRAPH confirms Anaheim\, August 8-12\, 2027. The technical-pa per schedule remains an annual proxy from the 2026 CFP's explicit 22:00 U TC cutoffs. The later file upload is not a new paper route. This is SIGGR APH\, not SIGGRAPH Asia\; ranks refer to the conference series\, not the TOG journal. XXL is an editorial estimate for the overall conference and exhibition.\nScope: Computer graphics and interactive techniques\, center ed on rendering\, geometric modeling\, animation\, physical simulation\, imaging\, visualization\, and immersive visual experiences. Generative AI and machine learning are relevant when they advance visual computing\, s uch as neural rendering and learned animation. Technical papers use integ rated conference and ACM TOG journal tracks\; this profile does not descr ibe SIGGRAPH Asia or all of AI.\nAdditional topics: Deep Representation L earning\, Human-AI Interaction & Deployment\nScope sources (2026): https: //s2026.siggraph.org/program/technical-papers/\nScope last checked: 2026- 10-07 URL:https://s2026.siggraph.org/program/technical-papers/ END:VEVENT BEGIN:VEVENT UID:itise-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270115 DTEND;VALUE=DATE:20270116 SUMMARY:[Time Series & Sequential Data][Machine Learning] ITISE 2027 - Pape r or abstract submission deadline (estimated) (cutoff time unannounced) DESCRIPTION:Conference title: International Conference on Time Series and F orecasting\nWebsite: https://itise.ugr.es/index.html\nSource URL: https:/ /itise.ugr.es/index.html\nLocation: Gran Canaria\, Spain\nTopics: Time Se ries & Sequential Data\, Machine Learning\, Data Mining & Data Science\, Learning Theory & Statistical Foundations\nSize: M\nSubmission type: Pape r-based / forecasting-focused\nConfidence: estimated\nLast checked date: 2026-10-06\nNotes: Official ITISE 2027 page lists Gran Canaria\, Jul 14-1 6\, and Jan 15 paper/abstract submission. Its timeline is explicitly prov isional in the source and deadlines may be extended. The cutoff hour/time zone is unannounced\; 23:59 Canary time is only a calendar proxy. Retain estimated confidence pending a finalized CFP.\nOfficial deadline day\; ex act cutoff hour/timezone is unannounced. Verify the organizer's submissio n portal. URL:https://itise.ugr.es/index.html END:VEVENT BEGIN:VEVENT UID:ifac-sysid-2027-deadline-discussion-paper@scientific-conference-calenda r DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270115 DTEND;VALUE=DATE:20270116 SUMMARY:[System Identification & Data-driven Dynamics][Control & Robotics] IFAC SYSID 2027 - Discussion papers (non-archival) (cutoff time unannounc ed) DESCRIPTION:Conference title: IFAC Symposium on System Identification\nWebs ite: https://conferences.ifac-control.org/sysid2027/\nSource URL: https:/ /conferences.ifac-control.org/sysid2027/participate/\nLocation: Lyon\, Fr ance\nTopics: System Identification & Data-driven Dynamics\, Control & Ro botics\, Time Series & Sequential Data\, Machine Learning\nSize: M\nSubmi ssion type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-1 0-06\nNotes: Triennial TC 1.1 symposium. Regular papers\, joint journal p apers\, and dissemination/discussion routes have distinct requirements\; consult the call. Published deadline days are confirmed but cutoff hours use estimated end-of-day AoE. Size is an editorial category.\nScope: Syst em identification and data-driven modeling for dynamical systems and cont rol. Characteristic themes include nonlinear identification\, model reduc tion\, identification software and benchmarks\, learning across systems\, and dynamic networks. Application tracks remain grounded in identifying or learning dynamical models\, rather than becoming general-purpose domai n conferences.\nAdditional topics: Nonlinear Dynamics & Chaos\, Complex S ystems & Network Science\nScope sources (2027): https://conferences.ifac- control.org/sysid2027/participate/\nScope last checked: 2026-10-07\nOffic ial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://conferences.ifac-control.org/sysid2027/participate/ END:VEVENT BEGIN:VEVENT UID:ifac-sysid-2027-deadline-dissemination@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270115 DTEND;VALUE=DATE:20270116 SUMMARY:[System Identification & Data-driven Dynamics][Control & Robotics] IFAC SYSID 2027 - Published IFAC journal presentations (cutoff time unann ounced) DESCRIPTION:Conference title: IFAC Symposium on System Identification\nWebs ite: https://conferences.ifac-control.org/sysid2027/\nSource URL: https:/ /conferences.ifac-control.org/sysid2027/participate/\nLocation: Lyon\, Fr ance\nTopics: System Identification & Data-driven Dynamics\, Control & Ro botics\, Time Series & Sequential Data\, Machine Learning\nSize: M\nSubmi ssion type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-1 0-06\nNotes: Triennial TC 1.1 symposium. Regular papers\, joint journal p apers\, and dissemination/discussion routes have distinct requirements\; consult the call. Published deadline days are confirmed but cutoff hours use estimated end-of-day AoE. Size is an editorial category.\nScope: Syst em identification and data-driven modeling for dynamical systems and cont rol. Characteristic themes include nonlinear identification\, model reduc tion\, identification software and benchmarks\, learning across systems\, and dynamic networks. Application tracks remain grounded in identifying or learning dynamical models\, rather than becoming general-purpose domai n conferences.\nAdditional topics: Nonlinear Dynamics & Chaos\, Complex S ystems & Network Science\nScope sources (2027): https://conferences.ifac- control.org/sysid2027/participate/\nScope last checked: 2026-10-07\nOffic ial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://conferences.ifac-control.org/sysid2027/participate/ END:VEVENT BEGIN:VEVENT UID:international-bci-meeting-2027-deadline-abstract@scientific-conference- calendar DTSTAMP:19700101T000000Z DTSTART:20270116T115900Z DTEND:20270116T125900Z SUMMARY:[BCI & Neurotechnology][EEG/MEG & Neural Signals] International BCI Meeting 2027 - Abstract submission deadline DESCRIPTION:Conference title: International Brain-Computer Interface Meetin g\nWebsite: https://bcisociety.org/bci-meeting/\nSource URL: https://bcis ociety.org/bci-meeting/\nLocation: Sibenik\, Croatia\nTopics: BCI & Neuro technology\, EEG/MEG & Neural Signals\, Computational Neuroscience\, Huma n-AI Interaction & Deployment\nSize: M\nSubmission type: Abstract/communi ty-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Of ficial BCI Society page lists the 12th International BCI Meeting in Siben ik\, Croatia\, June 7-10\, 2027\, with poster/oral abstract submission du e Jan 15\, 2027. URL:https://bcisociety.org/bci-meeting/ END:VEVENT BEGIN:VEVENT UID:gecco-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270120T115900Z DTEND:20270120T125900Z SUMMARY:[Evolutionary Computation & Optimization][Machine Learning] GECCO 2 027 - Abstract registration for full papers (estimated) DESCRIPTION:Conference title: Genetic and Evolutionary Computation Conferen ce\nWebsite: https://gecco-2027.sigevo.org/HomePage\nSource URL: https:// gecco-2026.sigevo.org/Important+Dates\nLocation: Krakow\, Poland\nTopics: Evolutionary Computation & Optimization\, Machine Learning\, Complex Sys tems & Network Science\nSize: L\nSubmission type: Paper-based / poster pa pers\nConfidence: estimated\nLast checked date: 2026-10-07\nNotes: Organi zer confirms Krakow\, Jul 12-16\, in person. The 2027 CFP still contains copied 2026 venue/deadline text\; do not treat it as a confirmed 2027 sub mission schedule. Deadlines use 2026 timing as an estimated annual proxy. Poster-only submissions are separate from the gated full-paper route. Si ze L is an editorial estimate\; no attendance count is asserted.\nScope: Genetic and evolutionary computation\, including genetic algorithms\, gen etic programming\, swarm intelligence\, evolutionary multiobjective and c ombinatorial optimization\, metaheuristics\, and neuroevolution. Machine learning is relevant through evolutionary learning and optimization\, not as an unrestricted substitute for the conference's evolutionary-computat ion focus.\nAdditional topics: Deep Representation Learning\, Learning Th eory & Statistical Foundations\nScope sources (2026): https://gecco-2027. sigevo.org/Call+for+Papers\nScope last checked: 2026-10-07 URL:https://gecco-2026.sigevo.org/Important+Dates END:VEVENT BEGIN:VEVENT UID:satml-2027-deadline-revision@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270122T115900Z DTEND:20270122T125900Z SUMMARY:[Robustness & Safety][Privacy-preserving ML] SaTML 2027 - Invited p aper revision deadline DESCRIPTION:Conference title: IEEE Conference on Secure and Trustworthy Mac hine Learning\nWebsite: https://satml.org/\nSource URL: https://satml.org /call-for-papers/\nLocation: Reykjavik\, Iceland\nTopics: Robustness & Sa fety\, Privacy-preserving ML\, Fairness & Responsible AI\, Explainability & Interpretability\nSize: M\nSubmission type: Paper-based / systematizat ion of knowledge / position papers\nConfidence: confirmed\nLast checked d ate: 2026-10-07\nNotes: Fifth annual edition. Main meeting May 4-6\; work shops May 3. The mandatory registration and new-paper deadlines have pass ed. Revisions are restricted to existing submissions and do not reopen ne w-paper opportunities. Camera-ready is only announced as mid-February\, e xact date TBC\, so no exact camera-ready event is invented. Size M is an editorial estimate.\nScope: Security\, safety\, and trustworthiness of ma chine learning. Characteristic work studies attacks and defenses\, privac y\, verification\, ML-system security\, fairness\, interpretability\, and trustworthy data curation. Theoretical\, empirical\, and applied papers must engage substantively with a safety or trustworthiness question\; mer ely using an ML model is insufficient.\nAdditional topics: Machine Learni ng\, ML Systems & Infrastructure\nScope sources (2027): https://satml.org /call-for-papers/\nScope last checked: 2026-10-07 URL:https://satml.org/call-for-papers/ END:VEVENT BEGIN:VEVENT UID:sigir-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270121 DTEND;VALUE=DATE:20270122 SUMMARY:[Information Retrieval & Search][Recommender Systems] SIGIR 2027 - Proposed full paper submission deadline (estimated) (cutoff time unannoun ced) DESCRIPTION:Conference title: ACM International Conference on Research and Development in Information Retrieval\nWebsite: https://sigir2027.org/\nSo urce URL: https://sigir2027.org/pages/submit-full.html\nLocation: San Jos e\, California\, USA\nTopics: Information Retrieval & Search\, Recommende r Systems\, Natural Language Processing & LLMs\, Machine Learning\nSize: XL\nSubmission type: Paper-based\nConfidence: estimated\nLast checked dat e: 2026-10-07\nNotes: Homepage confirms July 18-24 conference week (title says July 19-24). CFP explicitly labels the deadline table PROPOSED\; re tain estimated deadlines rather than presenting these as finalized cutoff s. Mandatory abstract gate. Size is an editorial estimate.\nScope: Inform ation access\, search and ranking\, query and content understanding\, rec ommendation\, conversational and multimodal retrieval\, and evaluation of retrieval systems. Learning and language models are relevant through an information-retrieval contribution\, including retrieval-augmented genera tion. The 2027 detailed track pages contain organizer placeholders\; scop e should be rechecked when finalized.\nAdditional topics: Multimedia Lear ning & Retrieval\, Human-AI Interaction & Deployment\, Fairness & Respons ible AI\, ML Systems & Infrastructure\nScope sources (2027): https://sigi r2027.org/pages/submit-full.html\nScope last checked: 2026-10-07\nOfficia l deadline day\; exact cutoff hour/timezone is unannounced. Verify the or ganizer's submission portal. URL:https://sigir2027.org/pages/submit-full.html END:VEVENT BEGIN:VEVENT UID:acm-siggraph-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270122T220000Z DTEND:20270122T230000Z SUMMARY:[Computer Graphics & Visualization][Machine Learning] ACM SIGGRAPH 2027 - Technical-paper and checksum deadline (estimated) DESCRIPTION:Conference title: ACM SIGGRAPH Annual Conference\nWebsite: http s://s2027.siggraph.org/\nSource URL: https://s2026.siggraph.org/program/t echnical-papers/\nLocation: Anaheim\, California\, USA\nTopics: Computer Graphics & Visualization\, Machine Learning\, Computer Vision & Pattern R ecognition\nSize: XXL\nSubmission type: Technical papers / conference and ACM TOG tracks\nConfidence: estimated\nLast checked date: 2026-10-07\nNo tes: ACM SIGGRAPH confirms Anaheim\, August 8-12\, 2027. The technical-pa per schedule remains an annual proxy from the 2026 CFP's explicit 22:00 U TC cutoffs. The later file upload is not a new paper route. This is SIGGR APH\, not SIGGRAPH Asia\; ranks refer to the conference series\, not the TOG journal. XXL is an editorial estimate for the overall conference and exhibition.\nScope: Computer graphics and interactive techniques\, center ed on rendering\, geometric modeling\, animation\, physical simulation\, imaging\, visualization\, and immersive visual experiences. Generative AI and machine learning are relevant when they advance visual computing\, s uch as neural rendering and learned animation. Technical papers use integ rated conference and ACM TOG journal tracks\; this profile does not descr ibe SIGGRAPH Asia or all of AI.\nAdditional topics: Deep Representation L earning\, Human-AI Interaction & Deployment\nScope sources (2026): https: //s2026.siggraph.org/program/technical-papers/\nScope last checked: 2026- 10-07 URL:https://s2026.siggraph.org/program/technical-papers/ END:VEVENT BEGIN:VEVENT UID:acc-2027-deadline-notification@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270122 DTEND;VALUE=DATE:20270123 SUMMARY:[Control & Robotics][System Identification & Data-driven Dynamics] ACC 2027 - Acceptance notification (cutoff time unannounced) DESCRIPTION:Conference title: American Control Conference\nWebsite: https:/ /acc2027.a2c2.org/\nSource URL: https://acc2027.a2c2.org/\nLocation: Phil adelphia\, Pennsylvania\, USA\nTopics: Control & Robotics\, System Identi fication & Data-driven Dynamics\, Reinforcement Learning\nSize: XL\nSubmi ssion type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-1 0-06\nNotes: Annual AACC meeting. The firm regular-paper extension is Oct ober 2\, not the older September 25 CFP date. Later tutorial papers depen d on an accepted tutorial session and are not an unrestricted new-paper r oute. Cutoff hours use estimated end-of-day AoE. Size is an editorial cat egory.\nOfficial deadline day\; exact cutoff hour/timezone is unannounced . Verify the organizer's submission portal. URL:https://acc2027.a2c2.org/ END:VEVENT BEGIN:VEVENT UID:acm-siggraph-2027-deadline-paper-update@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270123T220000Z DTEND:20270123T230000Z SUMMARY:[Computer Graphics & Visualization][Machine Learning] ACM SIGGRAPH 2027 - Upload deadline for previously submitted checksums (estimated) DESCRIPTION:Conference title: ACM SIGGRAPH Annual Conference\nWebsite: http s://s2027.siggraph.org/\nSource URL: https://s2026.siggraph.org/program/t echnical-papers/\nLocation: Anaheim\, California\, USA\nTopics: Computer Graphics & Visualization\, Machine Learning\, Computer Vision & Pattern R ecognition\nSize: XXL\nSubmission type: Technical papers / conference and ACM TOG tracks\nConfidence: estimated\nLast checked date: 2026-10-07\nNo tes: ACM SIGGRAPH confirms Anaheim\, August 8-12\, 2027. The technical-pa per schedule remains an annual proxy from the 2026 CFP's explicit 22:00 U TC cutoffs. The later file upload is not a new paper route. This is SIGGR APH\, not SIGGRAPH Asia\; ranks refer to the conference series\, not the TOG journal. XXL is an editorial estimate for the overall conference and exhibition.\nScope: Computer graphics and interactive techniques\, center ed on rendering\, geometric modeling\, animation\, physical simulation\, imaging\, visualization\, and immersive visual experiences. Generative AI and machine learning are relevant when they advance visual computing\, s uch as neural rendering and learned animation. Technical papers use integ rated conference and ACM TOG journal tracks\; this profile does not descr ibe SIGGRAPH Asia or all of AI.\nAdditional topics: Deep Representation L earning\, Human-AI Interaction & Deployment\nScope sources (2026): https: //s2026.siggraph.org/program/technical-papers/\nScope last checked: 2026- 10-07 URL:https://s2026.siggraph.org/program/technical-papers/ END:VEVENT BEGIN:VEVENT UID:icml-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270124T115900Z DTEND:20270124T125900Z SUMMARY:[Machine Learning][Learning Theory & Statistical Foundations] ICML 2027 - Abstract submission deadline (estimated) DESCRIPTION:Conference title: International Conference on Machine Learning\ nWebsite: https://icml.cc/Conferences/FutureMeetings\nSource URL: https:/ /icml.cc/Conferences/2026/Dates\nLocation: South America (city to be anno unced)\nTopics: Machine Learning\, Learning Theory & Statistical Foundati ons\, Deep Representation Learning\, Time Series & Sequential Data\nSize: XXL\nSubmission type: Paper-based\nConfidence: estimated\nLast checked d ate: 2026-10-06\nNotes: ICML confirms the 2027 region as South America bu t has not published dates or deadlines. Dates use the 2026 edition as an annual-cadence proxy.\nScope: Methodological and theoretical machine lear ning\, including supervised and unsupervised learning\, deep generative m odels\, optimization\, statistical learning theory\, Bayesian methods\, a nd reinforcement learning. Scalable systems and trustworthy learning are established parts of the scope\; application papers should offer contribu tions of wider interest to ML.\nAdditional topics: Probabilistic\, Causal & Uncertainty ML\, Reinforcement Learning\, Explainability & Interpretab ility\, Robustness & Safety\, ML Systems & Infrastructure\, Federated & D istributed Learning\nScope sources (2026): https://icml.cc/Conferences/20 26/CallForPapers\nScope last checked: 2026-10-07 URL:https://icml.cc/Conferences/2026/Dates END:VEVENT BEGIN:VEVENT UID:eurogp-2027-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270124 DTEND;VALUE=DATE:20270125 SUMMARY:[Evolutionary Computation & Optimization][Machine Learning] EuroGP 2027 - Camera-ready deadline (cutoff time unannounced) DESCRIPTION:Conference title: European Conference on Genetic Programming\nW ebsite: https://www.evostar.org/2027/eurogp/\nSource URL: https://www.evo star.org/2027/important-dates/\nLocation: Mainz\, Germany\nTopics: Evolut ionary Computation & Optimization\, Machine Learning\, Explainability & I nterpretability\nSize: S\nSubmission type: Paper-based / Springer LNCS\nC onfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official EvoS tar pages confirm Mainz\, March 31-April 2\, in hybrid mode. Published de adline days have no exact cutoff hour or timezone\; AoE timestamps are pr ovisional and calendars use all-day events. The shared EvoStar late-break ing-abstract date is not yet a verified EuroGP-specific paper route. S is an editorial size estimate for EuroGP\, not the whole EvoStar event.\nSc ope: Genetic programming and evolutionary program synthesis\, including s ymbolic regression\, program representations and operators\, surrogate-as sisted search\, multi-objective evolution\, and interpretable learned pro grams. Evolutionary machine learning\, AutoML pipelines\, and neuroevolut ion connect this focused methodological community to ML. Application doma ins do not define its tags.\nAdditional topics: Learning Theory & Statist ical Foundations\, Deep Representation Learning\nScope sources (2027): ht tps://www.evostar.org/2027/eurogp/\nScope last checked: 2026-10-07\nOffic ial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://www.evostar.org/2027/important-dates/ END:VEVENT BEGIN:VEVENT UID:ieee-embc-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270124 DTEND;VALUE=DATE:20270125 SUMMARY:[Healthcare & Clinical AI][Signal Processing] IEEE EMBC 2027 - Full paper submission deadline (cutoff time unannounced) DESCRIPTION:Conference title: IEEE Engineering in Medicine and Biology Conf erence\nWebsite: https://embc.embs.org/2027/\nSource URL: https://embc.em bs.org/2027/important-dates/\nLocation: Singapore\nTopics: Healthcare & C linical AI\, Signal Processing\, EEG/MEG & Neural Signals\, BCI & Neurote chnology\nSize: XL\nSubmission type: Paper-based / broad applied venue\nC onfidence: confirmed\nLast checked date: 2026-10-06\nNotes: Organizer con firms Singapore\, Jul 11-15\, and Jan 24 full-paper/Apr 23 poster deadlin es. Cutoff hour/timezone is not specified\; 23:59 AoE is a provisional or dering time\; the official deadline days are confirmed.\nOfficial deadlin e day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://embc.embs.org/2027/important-dates/ END:VEVENT BEGIN:VEVENT UID:aamas-2027-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270126T115900Z DTEND:20270126T125900Z SUMMARY:[Machine Learning][Reinforcement Learning] AAMAS 2027 - Main-track camera-ready deadline DESCRIPTION:Conference title: International Conference on Autonomous Agents and Multiagent Systems\nWebsite: https://warwick.ac.uk/fac/sci/dcs/aamas 2027/\nSource URL: https://warwick.ac.uk/fac/sci/dcs/aamas2027/calls/call -for-main-track/\nLocation: Hanoi\, Vietnam\nTopics: Machine Learning\, R einforcement Learning\, Autonomous Agents & Multiagent Systems\, Human-AI Interaction & Deployment\nSize: XL\nSubmission type: Paper-based / Blue Sky Ideas short papers\nConfidence: confirmed\nLast checked date: 2026-10 -07\nNotes: Annual flagship meeting in Hanoi. New main-track submissions are closed because the Oct 1 abstract gate has passed\, even before the O ct 8 paper cutoff. The separate four-page Blue Sky Ideas track remains a forthcoming opportunity\; author registration is announced for Oct 20 but no exact opening hour is given. Its Nov 5 gate only controls its Nov 12 short papers. AAAI fast-track and already published JAAMAS presentations are not general new-paper routes. Size XL is an editorial estimate. Histo rical acceptance covers main full papers only\, not Blue Sky Ideas or the newly introduced 2027 Findings track.\nScope: Autonomous agents and mult i-agent systems: learning and adaptation\, coordination\, game theory\, p lanning\, reasoning\, agent engineering\, and agent-based simulation. Als o covers human-agent interaction\, robot teams\, norms and governance\, a nd generative agents. The contribution should concern agents or their int eraction\; generic language-model or learning results are not automatical ly in scope.\nAdditional topics: Deep Representation Learning\, Probabili stic\, Causal & Uncertainty ML\, Control & Robotics\, Complex Systems & N etwork Science\, Ethics & Governance\, Explainability & Interpretability\ nScope sources (2027): https://warwick.ac.uk/fac/sci/dcs/aamas2027/calls/ call-for-main-track/\nScope last checked: 2026-10-07 URL:https://warwick.ac.uk/fac/sci/dcs/aamas2027/calls/call-for-main-track/ END:VEVENT BEGIN:VEVENT UID:l4dc-2027-deadline-notification@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270125 DTEND;VALUE=DATE:20270126 SUMMARY:[Machine Learning][Control & Robotics] L4DC 2027 - Acceptance notif ication (cutoff time unannounced) DESCRIPTION:Conference title: Learning for Dynamics and Control\nWebsite: h ttps://l4dc2027.control.ee.ethz.ch/home\nSource URL: https://l4dc2027.con trol.ee.ethz.ch/home\nLocation: Stockholm\, Sweden\nTopics: Machine Learn ing\, Control & Robotics\, System Identification & Data-driven Dynamics\, Reinforcement Learning\nSize: M\nSubmission type: Paper-based\nConfidenc e: confirmed\nLast checked date: 2026-10-06\nNotes: Annual conference at the ML/control interface\, hosted by KTH. Official days are published\; c utoff hours are unannounced and represented using estimated end-of-day Ao E timing. Late-breaking results are a separate presentation route\, not r egular proceedings papers. Size is an editorial scale category\, not a ve rified attendance count.\nScope: The interface of learning\, dynamics\, c ontrol\, and optimization for physical and dynamical systems. Emphasizes foundations and methods for data-driven control and dynamical modeling\, including theoretical\, empirical\, and applied contributions. Pure patte rn recognition without a meaningful connection to dynamics or control is not the defining focus.\nAdditional topics: Learning Theory & Statistical Foundations\nScope sources (2027): https://l4dc2027.control.ee.ethz.ch/h ome\nScope last checked: 2026-10-07\nOfficial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://l4dc2027.control.ee.ethz.ch/home END:VEVENT BEGIN:VEVENT UID:fg-2027-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270127T115900Z DTEND:20270127T125900Z SUMMARY:[Biometrics & Human Sensing][Computer Vision & Pattern Recognition] FG 2027 - Main conference camera-ready deadline DESCRIPTION:Conference title: IEEE International Conference on Automatic Fa ce and Gesture Recognition\nWebsite: https://fg2027.ieee-biometrics.org/\ nSource URL: https://fg2027.ieee-biometrics.org/dates/\nLocation: Marrake sh\, Morocco\nTopics: Biometrics & Human Sensing\, Computer Vision & Patt ern Recognition\, Deep Representation Learning\, Machine Learning\nSize: M\nSubmission type: Long and short papers / face\, gesture\, and body rec ognition\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Of ficial CFP and dates page updated October 5 extend the abstract and paper deadlines to October 23 and 30\, replacing October 9 and 16. Cutoffs are AoE. Full event includes April 26/30 workshops\; main sessions are April 27-29. CMT opening is announced for September 25 without an exact hour\; no portal-open observation is fabricated. M is an editorial estimate.\nS cope: Face\, gesture\, body movement\, and human behavior from images and video\, including detection\, tracking\, recognition\, facial expression and affect\, pose and action analysis\, and soft biometrics. Characteris tic methods include advanced visual learning\, generative modeling and ne ural rendering\, multimodal fusion\, and evaluation across demographic an d acquisition conditions. Bias\, interpretability\, and robust recognitio n are directly tied to human sensing rather than generic application tags .\nAdditional topics: Robustness & Safety\, Fairness & Responsible AI\, C omputer Graphics & Visualization\, Explainability & Interpretability\nSco pe sources (2027): https://fg2027.ieee-biometrics.org/call-for-papers/\nS cope last checked: 2026-10-07 URL:https://fg2027.ieee-biometrics.org/dates/ END:VEVENT BEGIN:VEVENT UID:gecco-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270127T115900Z DTEND:20270127T125900Z SUMMARY:[Evolutionary Computation & Optimization][Machine Learning] GECCO 2 027 - Full paper submission deadline (estimated) DESCRIPTION:Conference title: Genetic and Evolutionary Computation Conferen ce\nWebsite: https://gecco-2027.sigevo.org/HomePage\nSource URL: https:// gecco-2026.sigevo.org/Important+Dates\nLocation: Krakow\, Poland\nTopics: Evolutionary Computation & Optimization\, Machine Learning\, Complex Sys tems & Network Science\nSize: L\nSubmission type: Paper-based / poster pa pers\nConfidence: estimated\nLast checked date: 2026-10-07\nNotes: Organi zer confirms Krakow\, Jul 12-16\, in person. The 2027 CFP still contains copied 2026 venue/deadline text\; do not treat it as a confirmed 2027 sub mission schedule. Deadlines use 2026 timing as an estimated annual proxy. Poster-only submissions are separate from the gated full-paper route. Si ze L is an editorial estimate\; no attendance count is asserted.\nScope: Genetic and evolutionary computation\, including genetic algorithms\, gen etic programming\, swarm intelligence\, evolutionary multiobjective and c ombinatorial optimization\, metaheuristics\, and neuroevolution. Machine learning is relevant through evolutionary learning and optimization\, not as an unrestricted substitute for the conference's evolutionary-computat ion focus.\nAdditional topics: Deep Representation Learning\, Learning Th eory & Statistical Foundations\nScope sources (2026): https://gecco-2027. sigevo.org/Call+for+Papers\nScope last checked: 2026-10-07 URL:https://gecco-2026.sigevo.org/Important+Dates END:VEVENT BEGIN:VEVENT UID:gecco-2027-deadline-poster@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270127T115900Z DTEND:20270127T125900Z SUMMARY:[Evolutionary Computation & Optimization][Machine Learning] GECCO 2 027 - Poster-only paper submission deadline (estimated) DESCRIPTION:Conference title: Genetic and Evolutionary Computation Conferen ce\nWebsite: https://gecco-2027.sigevo.org/HomePage\nSource URL: https:// gecco-2026.sigevo.org/Important+Dates\nLocation: Krakow\, Poland\nTopics: Evolutionary Computation & Optimization\, Machine Learning\, Complex Sys tems & Network Science\nSize: L\nSubmission type: Paper-based / poster pa pers\nConfidence: estimated\nLast checked date: 2026-10-07\nNotes: Organi zer confirms Krakow\, Jul 12-16\, in person. The 2027 CFP still contains copied 2026 venue/deadline text\; do not treat it as a confirmed 2027 sub mission schedule. Deadlines use 2026 timing as an estimated annual proxy. Poster-only submissions are separate from the gated full-paper route. Si ze L is an editorial estimate\; no attendance count is asserted.\nScope: Genetic and evolutionary computation\, including genetic algorithms\, gen etic programming\, swarm intelligence\, evolutionary multiobjective and c ombinatorial optimization\, metaheuristics\, and neuroevolution. Machine learning is relevant through evolutionary learning and optimization\, not as an unrestricted substitute for the conference's evolutionary-computat ion focus.\nAdditional topics: Deep Representation Learning\, Learning Th eory & Statistical Foundations\nScope sources (2026): https://gecco-2027. sigevo.org/Call+for+Papers\nScope last checked: 2026-10-07 URL:https://gecco-2026.sigevo.org/Important+Dates END:VEVENT BEGIN:VEVENT UID:icml-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270129T115900Z DTEND:20270129T125900Z SUMMARY:[Machine Learning][Learning Theory & Statistical Foundations] ICML 2027 - Full paper submission deadline (estimated) DESCRIPTION:Conference title: International Conference on Machine Learning\ nWebsite: https://icml.cc/Conferences/FutureMeetings\nSource URL: https:/ /icml.cc/Conferences/2026/Dates\nLocation: South America (city to be anno unced)\nTopics: Machine Learning\, Learning Theory & Statistical Foundati ons\, Deep Representation Learning\, Time Series & Sequential Data\nSize: XXL\nSubmission type: Paper-based\nConfidence: estimated\nLast checked d ate: 2026-10-06\nNotes: ICML confirms the 2027 region as South America bu t has not published dates or deadlines. Dates use the 2026 edition as an annual-cadence proxy.\nScope: Methodological and theoretical machine lear ning\, including supervised and unsupervised learning\, deep generative m odels\, optimization\, statistical learning theory\, Bayesian methods\, a nd reinforcement learning. Scalable systems and trustworthy learning are established parts of the scope\; application papers should offer contribu tions of wider interest to ML.\nAdditional topics: Probabilistic\, Causal & Uncertainty ML\, Reinforcement Learning\, Explainability & Interpretab ility\, Robustness & Safety\, ML Systems & Infrastructure\, Federated & D istributed Learning\nScope sources (2026): https://icml.cc/Conferences/20 26/CallForPapers\nScope last checked: 2026-10-07 URL:https://icml.cc/Conferences/2026/Dates END:VEVENT BEGIN:VEVENT UID:acc-2027-deadline-tutorial-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270129 DTEND;VALUE=DATE:20270130 SUMMARY:[Control & Robotics][System Identification & Data-driven Dynamics] ACC 2027 - Invited tutorial papers (cutoff time unannounced) DESCRIPTION:Conference title: American Control Conference\nWebsite: https:/ /acc2027.a2c2.org/\nSource URL: https://acc2027.a2c2.org/\nLocation: Phil adelphia\, Pennsylvania\, USA\nTopics: Control & Robotics\, System Identi fication & Data-driven Dynamics\, Reinforcement Learning\nSize: XL\nSubmi ssion type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-1 0-06\nNotes: Annual AACC meeting. The firm regular-paper extension is Oct ober 2\, not the older September 25 CFP date. Later tutorial papers depen d on an accepted tutorial session and are not an unrestricted new-paper r oute. Cutoff hours use estimated end-of-day AoE. Size is an editorial cat egory.\nOfficial deadline day\; exact cutoff hour/timezone is unannounced . Verify the organizer's submission portal. URL:https://acc2027.a2c2.org/ END:VEVENT BEGIN:VEVENT UID:aime-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270201T115900Z DTEND:20270201T125900Z SUMMARY:[Healthcare & Clinical AI][Machine Learning] AIME 2027 - Abstract s ubmission deadline DESCRIPTION:Conference title: International Conference on Artificial Intell igence in Medicine\nWebsite: https://aime27.aimedicine.info/\nSource URL: https://aime27.aimedicine.info/call-for-papers/\nLocation: Amsterdam\, N etherlands\nTopics: Healthcare & Clinical AI\, Machine Learning\, Biomedi cal Imaging\, Probabilistic\, Causal & Uncertainty ML\nSize: M\nSubmissio n type: Paper-based / clinical AI\nConfidence: confirmed\nLast checked da te: 2026-10-05\nNotes: Official AIME 2027 pages confirm Amsterdam\, Jul 5 -8 (main conference Jul 6-7)\, and the abstract\, paper\, and camera-read y dates\, all AoE. URL:https://aime27.aimedicine.info/call-for-papers/ END:VEVENT BEGIN:VEVENT UID:ijcnn-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270201T115900Z DTEND:20270201T125900Z SUMMARY:[Machine Learning][Deep Representation Learning] IJCNN 2027 - Regul ar paper submission deadline DESCRIPTION:Conference title: International Joint Conference on Neural Netw orks\nWebsite: https://ijcnn.org/2027\nSource URL: https://ijcnn.org/2027 \nLocation: Cape Town\, South Africa\nTopics: Machine Learning\, Deep Rep resentation Learning\, Learning Theory & Statistical Foundations\, Signal Processing\nSize: XL\nSubmission type: Paper-based\nConfidence: confirme d\nLast checked date: 2026-08-20\nNotes: Official IJCNN 2027 site lists C ape Town\, Jun 14-18\, and the regular-paper deadline. URL:https://ijcnn.org/2027 END:VEVENT BEGIN:VEVENT UID:www-2027-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270201T115900Z DTEND:20270201T125900Z SUMMARY:[Information Retrieval & Search][Recommender Systems] WWW 2027 - Re search-track final version deadline DESCRIPTION:Conference title: ACM Web Conference (formerly International Wo rld Wide Web Conference)\nWebsite: https://www2027.thewebconf.org/\nSourc e URL: https://www2027.thewebconf.org/research-track-papers/\nLocation: D ublin\, Ireland\nTopics: Information Retrieval & Search\, Recommender Sys tems\, Graphs & Graph Learning\, LLM Agents & Tool Use\nSize: XL\nSubmiss ion type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-10- 07\nNotes: Official homepage states full and short paper portals are open \; separate mandatory abstract gates. Research must substantively address the Web\, not merely use a web dataset. Preserve WWW as the stable serie s alias. Size is an editorial estimate.\nScope: Research on the Web as in frastructure and a socio-technical ecosystem. Characteristic ML-facing tr acks include search and recommendation\, retrieval-augmented and agentic information access\, graph learning\, and semantic knowledge. Responsible Web and privacy research are substantive strands. Merely using a web dat aset or API is explicitly insufficient topical relevance.\nAdditional top ics: Knowledge Representation & Reasoning\, Data Mining & Data Science\, Fairness & Responsible AI\, Privacy-preserving ML\, Ethics & Governance\n Scope sources (2027): https://www2027.thewebconf.org/research-track-paper s/\nScope last checked: 2026-10-07 URL:https://www2027.thewebconf.org/research-track-papers/ END:VEVENT BEGIN:VEVENT UID:icmr-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270201T115959Z DTEND:20270201T125959Z SUMMARY:[Multimedia Learning & Retrieval][Computer Vision & Pattern Recogni tion] ICMR 2027 - Regular full and short paper submission deadline DESCRIPTION:Conference title: ACM SIGMM International Conference on Multime dia Retrieval\nWebsite: https://www.icmr2027.org/\nSource URL: https://ww w.icmr2027.org/date\nLocation: Singapore\nTopics: Multimedia Learning & R etrieval\, Computer Vision & Pattern Recognition\, Machine Learning\, Dee p Representation Learning\nSize: M\nSubmission type: Full and short paper s / multimedia retrieval\nConfidence: confirmed\nLast checked date: 2026- 10-07\nNotes: Official dates explicitly use 23:59:59 AoE and confirm Sing apore\, June 7-10. Full/short and Brave New Ideas papers share January 31 \; separate reproducibility/demo dates are not generalized to unrestricte d main papers. The regular-paper submission portal is not yet announced. M is an editorial size estimate.\nScope: Search and retrieval of multimed ia and multimodal content. Characteristic work studies indexing\, content understanding\, query representations\, cross-modal matching\, relevance feedback\, recommendation\, and evaluation\, with deep learning and mult imodal models as important methods. Privacy-aware retrieval and knowledge discovery extend this core. The long applications list is not used to ch aracterize ICMR as a medicine\, finance\, or travel venue.\nAdditional to pics: Data Mining & Data Science\, Natural Language Processing & LLMs\, P rivacy-preserving ML\nScope sources (2027): https://www.icmr2027.org/cfc\ nScope last checked: 2026-10-07 URL:https://www.icmr2027.org/date END:VEVENT BEGIN:VEVENT UID:isbi-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270202T045900Z DTEND:20270202T055900Z SUMMARY:[Biomedical Imaging][Signal Processing] ISBI 2027 - 1-page abstract submission deadline DESCRIPTION:Conference title: IEEE International Symposium on Biomedical Im aging\nWebsite: https://biomedicalimaging.org/2027/\nSource URL: https:// biomedicalimaging.org/2027/\nLocation: Lausanne\, Switzerland\nTopics: Bi omedical Imaging\, Signal Processing\, Healthcare & Clinical AI\, Machine Learning\nSize: L\nSubmission type: Paper-based\nConfidence: confirmed\n Last checked date: 2026-10-06\nNotes: Official ISBI 2027 page lists Lausa nne\, May 25-28\, and the four-page paper and one-page abstract deadlines . The paper submission link was live on Oct 6. URL:https://biomedicalimaging.org/2027/ END:VEVENT BEGIN:VEVENT UID:kdd-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270202T115900Z DTEND:20270202T125900Z SUMMARY:[Data Mining & Data Science][Machine Learning] KDD 2027 - Abstract submission deadline (estimated) DESCRIPTION:Conference title: ACM SIGKDD Conference on Knowledge Discovery and Data Mining\nWebsite: https://kdd2027.kdd.org/\nSource URL: https://k dd2026.kdd.org/research-track-call-for-papers/\nLocation: San Jose\, Cali fornia\, USA\nTopics: Data Mining & Data Science\, Machine Learning\, Tim e Series & Sequential Data\, Federated & Distributed Learning\nSize: XL\n Submission type: Paper-based / mixed tracks\nConfidence: estimated\nLast checked date: 2026-10-06\nNotes: Official site confirms San Jose\, Aug 1- 5. The first research-track cycle closed in July 2026. A February 2027 cy cle is announced but exact dates are still TBA\; the February abstract/pa per dates here are estimated from 2026.\nScope: Knowledge discovery and d ata science\, centered on extracting useful structure from large\, hetero geneous data. Characteristic areas include clustering\, structured and re lational learning\, graph and text mining\, recommender systems\, scalabl e data analysis\, and responsible data use. Generative AI is relevant whe n it advances data science\, not simply because a paper uses an LLM.\nAdd itional topics: Deep Representation Learning\, Natural Language Processin g & LLMs\, Explainability & Interpretability\, Privacy-preserving ML\, ML Systems & Infrastructure\nScope sources (2027): https://kdd2027.kdd.org/ research-track-call-for-papers/\nScope last checked: 2026-10-07 URL:https://kdd2026.kdd.org/research-track-call-for-papers/ END:VEVENT BEGIN:VEVENT UID:nice-2027-deadline-late-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270202T115900Z DTEND:20270202T125900Z SUMMARY:[Neuromorphic & Brain-inspired Computing][Computational Neuroscienc e] NICE 2027 - Late-breaking abstract submission deadline DESCRIPTION:Conference title: Neuro Inspired Computational Elements Confere nce\nWebsite: https://niceworkshop.org/nice-2027/\nSource URL: https://ea sychair.org/cfp/nice2027\nLocation: Brighton\, United Kingdom\nTopics: Ne uromorphic & Brain-inspired Computing\, Computational Neuroscience\, Mach ine Learning\, BCI & Neurotechnology\nSize: M\nSubmission type: Research papers + late-breaking abstracts\nConfidence: confirmed\nLast checked dat e: 2026-10-08\nNotes: Main conference April 6-8\; dedicated tutorials Apr il 9. Accepted proceedings research papers are published through IEEE\; l ate-breaking abstracts are non-archival\, and some poster contributions m ay not enter the proceedings. Neither a scheduled opening nor a live subm ission portal has been verified. Size is an editorial estimate.\nScope: N euromorphic and brain-inspired computing at the intersection of neuroscie nce\, algorithms and hardware. Characteristic work includes spiking neura l networks\, learning in neural systems\, event-driven computation\, neur omorphic processors and embodied applications. Research papers and late-b reaking abstracts are different contribution routes.\nAdditional topics: ML Systems & Infrastructure\, Deep Representation Learning\, Control & Ro botics\nScope sources (2027): https://easychair.org/cfp/nice2027\nScope l ast checked: 2026-10-08 URL:https://easychair.org/cfp/nice2027 END:VEVENT BEGIN:VEVENT UID:cogsci-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270203T115900Z DTEND:20270203T125900Z SUMMARY:[Cognitive Science & Computational Cognition][Computational Neurosc ience] CogSci 2027 - Contributed paper submission deadline (estimated) DESCRIPTION:Conference title: Annual Meeting of the Cognitive Science Socie ty\nWebsite: https://cognitivesciencesociety.org/cogsci-2027/\nSource URL : https://cognitivesciencesociety.org/cogsci-2026/\nLocation: Bilbao\, Sp ain\nTopics: Cognitive Science & Computational Cognition\, Computational Neuroscience\, Machine Learning\, Natural Language Processing & LLMs\nSiz e: L\nSubmission type: Paper-based / abstract presentations\nConfidence: estimated\nLast checked date: 2026-10-07\nNotes: Society confirms Bilbao\ , Euskalduna Convention Centre\, Jul 28-31. No 2027 submission timetable found. The paper deadline is a Feb 2 proxy from the prior annual meeting\ ; the cutoff hour and submission tracks need reconfirmation. Size L is an editorial estimate.\nScope: Interdisciplinary study of cognition and the mind\, connecting psychology\, linguistics\, artificial intelligence\, n euroscience\, philosophy\, anthropology\, and education. Computational mo dels and experiments should illuminate cognitive processes and behavior. An AI paper belongs here through its contribution to understanding cognit ion\, not solely through a predictive performance improvement.\nAdditiona l topics: \nScope sources (2026): https://cognitivesciencesociety.org/sub missions-faq/\, https://cognitivesciencesociety.org/\nScope last checked: 2026-10-07 URL:https://cognitivesciencesociety.org/cogsci-2026/ END:VEVENT BEGIN:VEVENT UID:colt-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270204T115900Z DTEND:20270204T125900Z SUMMARY:[Learning Theory & Statistical Foundations][Machine Learning] COLT 2027 - Submission deadline (estimated) DESCRIPTION:Conference title: Conference on Learning Theory\nWebsite: https ://learningtheory.org/colt2027/\nSource URL: https://learningtheory.org/c olt2027/\nLocation: Tokyo\, Japan\nTopics: Learning Theory & Statistical Foundations\, Machine Learning\nSize: M\nSubmission type: Paper-based / t heory-focused\nConfidence: estimated\nLast checked date: 2026-10-05\nNote s: Official COLT 2027 page confirms Tokyo and Jun 28-Jul 2\, 2027\; submi ssion milestones remain estimates until the current CFP publishes them.\n Scope: Theoretical foundations of learning at the intersection of compute r science\, statistics\, and applied mathematics. Characteristic work stu dies learnability\, sample and computational complexity\, online learning \, optimization\, bandits\, and generalization. Neural-network\, causal\, reinforcement-learning\, privacy\, and fairness papers belong here when the theoretical contribution is central.\nAdditional topics: Deep Represe ntation Learning\, Probabilistic\, Causal & Uncertainty ML\, Reinforcemen t Learning\, Privacy-preserving ML\, Fairness & Responsible AI\nScope sou rces (2026): https://learningtheory.org/colt2026/cfp.html\nScope last che cked: 2026-10-07 URL:https://learningtheory.org/colt2027/ END:VEVENT BEGIN:VEVENT UID:chil-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270205T115900Z DTEND:20270205T125900Z SUMMARY:[Healthcare & Clinical AI][Probabilistic\, Causal & Uncertainty ML] CHIL 2027 - Submissions due (estimated) DESCRIPTION:Conference title: Conference on Health\, Inference\, and Learni ng\nWebsite: https://chil.ahli.cc/\nSource URL: https://chil.ahli.cc/subm it/call-for-papers/\nLocation: To be announced\nTopics: Healthcare & Clin ical AI\, Probabilistic\, Causal & Uncertainty ML\, Fairness & Responsibl e AI\, Machine Learning\nSize: M\nSubmission type: Paper-based\nConfidenc e: estimated\nLast checked date: 2026-10-06\nNotes: Provisional 1-year ca dence projection from CHIL 2026. Meeting dates\, location\, and deadlines require organizer confirmation\; website and source links refer to the p rior edition.\nScope: Machine learning and inference for clinical\, publi c\, and population health. Distinguishing areas include causal inference\ , survival analysis\, multimodal health data\, generalization across popu lations\, interpretability\, and clinical evaluation and deployment. Rese arch may emphasize methods\, practical applications\, or societal impact. Health-focused inference and evaluation remain the common thread across these tracks.\nAdditional topics: Explainability & Interpretability\, Hum an-AI Interaction & Deployment\, Robustness & Safety\, Time Series & Sequ ential Data\nScope sources (2026): https://chil.ahli.cc/submit/call-for-p apers/\nScope last checked: 2026-10-07 URL:https://chil.ahli.cc/submit/call-for-papers/ END:VEVENT BEGIN:VEVENT UID:eusipco-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270206 DTEND;VALUE=DATE:20270207 SUMMARY:[Signal Processing][Machine Learning] EUSIPCO 2027 - Conference pap er submission deadline (cutoff time unannounced) DESCRIPTION:Conference title: European Signal Processing Conference\nWebsit e: https://eusipco2027.de/\nSource URL: https://eusipco2027.de/\nLocation : Darmstadt\, Germany\nTopics: Signal Processing\, Machine Learning\, Tim e Series & Sequential Data\, Computer Vision & Pattern Recognition\nSize: XL\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked da te: 2026-10-06\nNotes: EUSIPCO 2027 confirms Darmstadt\, Aug 30-Sep 3\, a nd Feb 6 paper deadline. The cutoff hour/timezone is unspecified\; 23:59 local is only a calendar proxy.\nOfficial deadline day\; exact cutoff hou r/timezone is unannounced. Verify the organizer's submission portal. URL:https://eusipco2027.de/ END:VEVENT BEGIN:VEVENT UID:ieee-ssp-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270207T225900Z DTEND:20270207T235900Z SUMMARY:[Signal Processing][Machine Learning] IEEE SSP 2027 - Paper submiss ion deadline DESCRIPTION:Conference title: IEEE Statistical Signal Processing Workshop\n Website: https://ssp27.ieeesps.org/\nSource URL: https://ssp27.ieeesps.or g/call-for-papers/\nLocation: Annecy\, France\nTopics: Signal Processing\ , Machine Learning\, Time Series & Sequential Data\, Probabilistic\, Caus al & Uncertainty ML\nSize: M\nSubmission type: Paper-based / specialist w orkshop\nConfidence: confirmed\nLast checked date: 2026-08-31\nNotes: Off icial IEEE SSP 2027 pages confirm Annecy\, Jun 28-Jul 1\, 2027\, and the Feb 7 paper-submission deadline. URL:https://ssp27.ieeesps.org/call-for-papers/ END:VEVENT BEGIN:VEVENT UID:aime-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270208T115900Z DTEND:20270208T125900Z SUMMARY:[Healthcare & Clinical AI][Machine Learning] AIME 2027 - Full paper submission deadline DESCRIPTION:Conference title: International Conference on Artificial Intell igence in Medicine\nWebsite: https://aime27.aimedicine.info/\nSource URL: https://aime27.aimedicine.info/call-for-papers/\nLocation: Amsterdam\, N etherlands\nTopics: Healthcare & Clinical AI\, Machine Learning\, Biomedi cal Imaging\, Probabilistic\, Causal & Uncertainty ML\nSize: M\nSubmissio n type: Paper-based / clinical AI\nConfidence: confirmed\nLast checked da te: 2026-10-05\nNotes: Official AIME 2027 pages confirm Amsterdam\, Jul 5 -8 (main conference Jul 6-7)\, and the abstract\, paper\, and camera-read y dates\, all AoE. URL:https://aime27.aimedicine.info/call-for-papers/ END:VEVENT BEGIN:VEVENT UID:kdd-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270209T115900Z DTEND:20270209T125900Z SUMMARY:[Data Mining & Data Science][Machine Learning] KDD 2027 - Paper sub mission deadline (estimated) DESCRIPTION:Conference title: ACM SIGKDD Conference on Knowledge Discovery and Data Mining\nWebsite: https://kdd2027.kdd.org/\nSource URL: https://k dd2026.kdd.org/research-track-call-for-papers/\nLocation: San Jose\, Cali fornia\, USA\nTopics: Data Mining & Data Science\, Machine Learning\, Tim e Series & Sequential Data\, Federated & Distributed Learning\nSize: XL\n Submission type: Paper-based / mixed tracks\nConfidence: estimated\nLast checked date: 2026-10-06\nNotes: Official site confirms San Jose\, Aug 1- 5. The first research-track cycle closed in July 2026. A February 2027 cy cle is announced but exact dates are still TBA\; the February abstract/pa per dates here are estimated from 2026.\nScope: Knowledge discovery and d ata science\, centered on extracting useful structure from large\, hetero geneous data. Characteristic areas include clustering\, structured and re lational learning\, graph and text mining\, recommender systems\, scalabl e data analysis\, and responsible data use. Generative AI is relevant whe n it advances data science\, not simply because a paper uses an LLM.\nAdd itional topics: Deep Representation Learning\, Natural Language Processin g & LLMs\, Explainability & Interpretability\, Privacy-preserving ML\, ML Systems & Infrastructure\nScope sources (2027): https://kdd2027.kdd.org/ research-track-call-for-papers/\nScope last checked: 2026-10-07 URL:https://kdd2026.kdd.org/research-track-call-for-papers/ END:VEVENT BEGIN:VEVENT UID:kr-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270209T115900Z DTEND:20270209T125900Z SUMMARY:[Knowledge Representation & Reasoning][Explainability & Interpretab ility] KR 2027 - Main-track abstract registration deadline (estimated) DESCRIPTION:Conference title: International Conference on Principles of Kno wledge Representation and Reasoning\nWebsite: https://kr.org/\nSource URL : https://kr.org/KR2026/call_main_track.html\nLocation: Buenos Aires\, Ar gentina\nTopics: Knowledge Representation & Reasoning\, Explainability & Interpretability\nSize: M\nSubmission type: Paper-based / formal and symb olic AI\nConfidence: estimated\nLast checked date: 2026-10-07\nNotes: KR Inc. announces Buenos Aires for its 2027 edition\, but no exact meeting o r submission dates were found. July meeting dates and February submission deadlines are annual proxies from KR 2026\, not organizer announcements. The 2026 ML and Explanation track informs the scope profile but is not a ssumed to be a confirmed 2027 track. M is an editorial estimate.\nScope: Formal and symbolic AI centered on representing knowledge and drawing jus tified conclusions: knowledge bases\, description and non-classical logic s\, ontologies\, non-monotonic reasoning\, argumentation\, belief revisio n\, and reasoning about actions. Learning\, uncertainty\, and explanation s matter when grounded in knowledge representation or reasoning. The last published CFP includes a KR Meets Machine Learning and Explanation track \; this is not a general-purpose ML conference or a confirmed promise of that 2027 track.\nAdditional topics: Machine Learning\, Probabilistic\, C ausal & Uncertainty ML\, Planning & Search\nScope sources (2026): https:/ /kr.org/KR2026/call_main_track.html\, https://kr.org/KR2026/\nScope last checked: 2026-10-07 URL:https://kr.org/KR2026/call_main_track.html END:VEVENT BEGIN:VEVENT UID:ccn-2027-deadline-full-paper-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270210T115900Z DTEND:20270210T125900Z SUMMARY:[Computational Neuroscience][Deep Representation Learning] CCN 2027 - 8-page paper abstract deadline (estimated) DESCRIPTION:Conference title: Conference on Cognitive Computational Neurosc ience\nWebsite: https://2027.ccneuro.org/\nSource URL: https://2026.ccneu ro.org/dates-and-deadlines/\nLocation: Edinburgh\, United Kingdom\nTopics : Computational Neuroscience\, Deep Representation Learning\, Neuroimagin g & Brain Mapping\, Machine Learning\nSize: M\nSubmission type: Mixed: pr oceedings + extended abstracts\nConfidence: estimated\nLast checked date: 2026-10-06\nNotes: CCN confirms Edinburgh\, Jul 26-29. Submission dates remain prior-edition timing estimates until the 2027 CFP is released.\nSc ope: Cognitive computational neuroscience\, connecting experiments and mo dels of brain computation with artificial intelligence. Characteristic wo rk compares biological and artificial representations\, models perception \, cognition and action\, studies neural connectivity and dynamics\, and uses mechanistic interpretability to understand neural-network models. Th e aim is understanding computation and behavior across brains and AI syst ems.\nAdditional topics: Cognitive Science & Computational Cognition\, Ex plainability & Interpretability\nScope sources (2027): https://2027.ccneu ro.org/\nScope last checked: 2026-10-07 URL:https://2026.ccneuro.org/dates-and-deadlines/ END:VEVENT BEGIN:VEVENT UID:interspeech-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270209 DTEND;VALUE=DATE:20270210 SUMMARY:[Signal Processing][Machine Learning] Interspeech 2027 - Conference paper submission deadline (cutoff time unannounced) DESCRIPTION:Conference title: Annual Conference of the International Speech Communication Association\nWebsite: https://interspeech2027.org/\nSource URL: https://interspeech2027.org/\nLocation: Sao Paulo\, Brazil\nTopics: Signal Processing\, Machine Learning\, Deep Representation Learning\, Na tural Language Processing & LLMs\nSize: XL\nSubmission type: Paper-based / interactive demonstration papers\nConfidence: confirmed\nLast checked d ate: 2026-10-07\nNotes: Organizer and ISCA confirm Sao Paulo\, Aug 29-Sep 2. Regular paper\, update\, and camera-ready days are announced without an exact cutoff\; AoE is provisional for those date-only events. Show & T ell explicitly uses 23:59 AoE and requires a two-page paper\, video\, and interactive demonstration. The Feb 16 update is not a fresh submission r oute. XL reflects the official description of more than 2\,000 annual att endees\; the ICORE rank and historical acceptance fields describe the mai n conference\, not its demonstration track.\nScope: Speech science and sp eech technology\, linking spoken-language research with computational met hods for speech recognition\, speech synthesis\, and speech communication . Machine learning and language models are relevant through speech and sp oken-language problems. The current 2027 overview emphasizes the relation ship between speech research and spoken-language technologies.\nAdditiona l topics: \nScope sources (2027): https://interspeech2027.org/\nScope las t checked: 2026-10-07\nOfficial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://interspeech2027.org/ END:VEVENT BEGIN:VEVENT UID:aamas-2027-deadline-blue-sky-camera-ready@scientific-conference-calenda r DTSTAMP:19700101T000000Z DTSTART:20270212T115900Z DTEND:20270212T125900Z SUMMARY:[Machine Learning][Reinforcement Learning] AAMAS 2027 - Blue Sky Id eas camera-ready deadline DESCRIPTION:Conference title: International Conference on Autonomous Agents and Multiagent Systems\nWebsite: https://warwick.ac.uk/fac/sci/dcs/aamas 2027/\nSource URL: https://warwick.ac.uk/fac/sci/dcs/aamas2027/calls/call -for-blue-sky-ideas/\nLocation: Hanoi\, Vietnam\nTopics: Machine Learning \, Reinforcement Learning\, Autonomous Agents & Multiagent Systems\, Huma n-AI Interaction & Deployment\nSize: XL\nSubmission type: Paper-based / B lue Sky Ideas short papers\nConfidence: confirmed\nLast checked date: 202 6-10-07\nNotes: Annual flagship meeting in Hanoi. New main-track submissi ons are closed because the Oct 1 abstract gate has passed\, even before t he Oct 8 paper cutoff. The separate four-page Blue Sky Ideas track remain s a forthcoming opportunity\; author registration is announced for Oct 20 but no exact opening hour is given. Its Nov 5 gate only controls its Nov 12 short papers. AAAI fast-track and already published JAAMAS presentati ons are not general new-paper routes. Size XL is an editorial estimate. H istorical acceptance covers main full papers only\, not Blue Sky Ideas or the newly introduced 2027 Findings track.\nScope: Autonomous agents and multi-agent systems: learning and adaptation\, coordination\, game theory \, planning\, reasoning\, agent engineering\, and agent-based simulation. Also covers human-agent interaction\, robot teams\, norms and governance \, and generative agents. The contribution should concern agents or their interaction\; generic language-model or learning results are not automat ically in scope.\nAdditional topics: Deep Representation Learning\, Proba bilistic\, Causal & Uncertainty ML\, Control & Robotics\, Complex Systems & Network Science\, Ethics & Governance\, Explainability & Interpretabil ity\nScope sources (2027): https://warwick.ac.uk/fac/sci/dcs/aamas2027/ca lls/call-for-main-track/\nScope last checked: 2026-10-07 URL:https://warwick.ac.uk/fac/sci/dcs/aamas2027/calls/call-for-blue-sky-ide as/ END:VEVENT BEGIN:VEVENT UID:ccn-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270213T115900Z DTEND:20270213T125900Z SUMMARY:[Computational Neuroscience][Deep Representation Learning] CCN 2027 - 8-page full paper submission deadline (estimated) DESCRIPTION:Conference title: Conference on Cognitive Computational Neurosc ience\nWebsite: https://2027.ccneuro.org/\nSource URL: https://2026.ccneu ro.org/dates-and-deadlines/\nLocation: Edinburgh\, United Kingdom\nTopics : Computational Neuroscience\, Deep Representation Learning\, Neuroimagin g & Brain Mapping\, Machine Learning\nSize: M\nSubmission type: Mixed: pr oceedings + extended abstracts\nConfidence: estimated\nLast checked date: 2026-10-06\nNotes: CCN confirms Edinburgh\, Jul 26-29. Submission dates remain prior-edition timing estimates until the 2027 CFP is released.\nSc ope: Cognitive computational neuroscience\, connecting experiments and mo dels of brain computation with artificial intelligence. Characteristic wo rk compares biological and artificial representations\, models perception \, cognition and action\, studies neural connectivity and dynamics\, and uses mechanistic interpretability to understand neural-network models. Th e aim is understanding computation and behavior across brains and AI syst ems.\nAdditional topics: Cognitive Science & Computational Cognition\, Ex plainability & Interpretability\nScope sources (2027): https://2027.ccneu ro.org/\nScope last checked: 2026-10-07 URL:https://2026.ccneuro.org/dates-and-deadlines/ END:VEVENT BEGIN:VEVENT UID:miccai-2027-deadline-registration@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270213T115900Z DTEND:20270213T125900Z SUMMARY:[Biomedical Imaging][Healthcare & Clinical AI] MICCAI 2027 - Paper registration deadline (estimated) DESCRIPTION:Conference title: International Conference on Medical Image Com puting and Computer Assisted Intervention\nWebsite: https://miccai.org/up coming-conferences/\nSource URL: https://conferences.miccai.org/2026/en/d efault.asp\nLocation: Auckland\, New Zealand\nTopics: Biomedical Imaging\ , Healthcare & Clinical AI\, Deep Representation Learning\, Neuroimaging & Brain Mapping\nSize: XL\nSubmission type: Paper-based\nConfidence: esti mated\nLast checked date: 2026-10-06\nNotes: The current MICCAI Society u pcoming-conferences page gives Auckland\, Sep 26-Oct 1. Paper dates are u nannounced\; February dates are prior-edition proxies. URL:https://conferences.miccai.org/2026/en/default.asp END:VEVENT BEGIN:VEVENT UID:ieee-ssci-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270214 DTEND;VALUE=DATE:20270218 SUMMARY:[Machine Learning][Deep Representation Learning] IEEE SSCI 2027 - C onference DESCRIPTION:Conference title: IEEE Symposium Series on Computational Intell igence\nWebsite: https://ssci2027generalchairs.github.io/ssci-2027/\nSour ce URL: https://ssci2027generalchairs.github.io/ssci-2027/submissions/ins tructions/\nLocation: Gold Coast\, Queensland\, Australia\nTopics: Machin e Learning\, Deep Representation Learning\, Reinforcement Learning\, Cont rol & Robotics\nSize: L\nSubmission type: Paper-based / symposium series\ nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official IE EE SSCI 2027 materials list the Gold Coast meeting\, Feb 14-17\, and the Aug 10 full/short-paper deadline. URL:https://ssci2027generalchairs.github.io/ssci-2027/submissions/instructi ons/ LOCATION:Gold Coast\, Queensland\, Australia END:VEVENT BEGIN:VEVENT UID:icml-2027-deadline-workshop@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270214T115900Z DTEND:20270214T125900Z SUMMARY:[Machine Learning][Learning Theory & Statistical Foundations] ICML 2027 - Workshop application deadline (estimated) DESCRIPTION:Conference title: International Conference on Machine Learning\ nWebsite: https://icml.cc/Conferences/FutureMeetings\nSource URL: https:/ /icml.cc/Conferences/2026/Dates\nLocation: South America (city to be anno unced)\nTopics: Machine Learning\, Learning Theory & Statistical Foundati ons\, Deep Representation Learning\, Time Series & Sequential Data\nSize: XXL\nSubmission type: Paper-based\nConfidence: estimated\nLast checked d ate: 2026-10-06\nNotes: ICML confirms the 2027 region as South America bu t has not published dates or deadlines. Dates use the 2026 edition as an annual-cadence proxy.\nScope: Methodological and theoretical machine lear ning\, including supervised and unsupervised learning\, deep generative m odels\, optimization\, statistical learning theory\, Bayesian methods\, a nd reinforcement learning. Scalable systems and trustworthy learning are established parts of the scope\; application papers should offer contribu tions of wider interest to ML.\nAdditional topics: Probabilistic\, Causal & Uncertainty ML\, Reinforcement Learning\, Explainability & Interpretab ility\, Robustness & Safety\, ML Systems & Infrastructure\, Federated & D istributed Learning\nScope sources (2026): https://icml.cc/Conferences/20 26/CallForPapers\nScope last checked: 2026-10-07 URL:https://icml.cc/Conferences/2026/Dates END:VEVENT BEGIN:VEVENT UID:kr-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270214T115900Z DTEND:20270214T125900Z SUMMARY:[Knowledge Representation & Reasoning][Explainability & Interpretab ility] KR 2027 - Main-track paper submission deadline (estimated) DESCRIPTION:Conference title: International Conference on Principles of Kno wledge Representation and Reasoning\nWebsite: https://kr.org/\nSource URL : https://kr.org/KR2026/call_main_track.html\nLocation: Buenos Aires\, Ar gentina\nTopics: Knowledge Representation & Reasoning\, Explainability & Interpretability\nSize: M\nSubmission type: Paper-based / formal and symb olic AI\nConfidence: estimated\nLast checked date: 2026-10-07\nNotes: KR Inc. announces Buenos Aires for its 2027 edition\, but no exact meeting o r submission dates were found. July meeting dates and February submission deadlines are annual proxies from KR 2026\, not organizer announcements. The 2026 ML and Explanation track informs the scope profile but is not a ssumed to be a confirmed 2027 track. M is an editorial estimate.\nScope: Formal and symbolic AI centered on representing knowledge and drawing jus tified conclusions: knowledge bases\, description and non-classical logic s\, ontologies\, non-monotonic reasoning\, argumentation\, belief revisio n\, and reasoning about actions. Learning\, uncertainty\, and explanation s matter when grounded in knowledge representation or reasoning. The last published CFP includes a KR Meets Machine Learning and Explanation track \; this is not a general-purpose ML conference or a confirmed promise of that 2027 track.\nAdditional topics: Machine Learning\, Probabilistic\, C ausal & Uncertainty ML\, Planning & Search\nScope sources (2026): https:/ /kr.org/KR2026/call_main_track.html\, https://kr.org/KR2026/\nScope last checked: 2026-10-07 URL:https://kr.org/KR2026/call_main_track.html END:VEVENT BEGIN:VEVENT UID:wsdm-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270215 DTEND;VALUE=DATE:20270220 SUMMARY:[Data Mining & Data Science][Machine Learning] WSDM 2027 - Conferen ce DESCRIPTION:Conference title: ACM International Conference on Web Search an d Data Mining\nWebsite: https://www.wsdm-conference.org/2027/\nSource URL : https://www.wsdm-conference.org/2027/\nLocation: Hong Kong\, China\nTop ics: Data Mining & Data Science\, Machine Learning\, Fairness & Responsib le AI\, Human-AI Interaction & Deployment\nSize: L\nSubmission type: Pape r-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Off icial WSDM 2027 pages list Hong Kong\, Feb 15-19\, and the abstract/paper deadlines.\nScope: Web search\, ranking\, recommendation and mining of w eb and social data. Characteristic extensions include large-scale graph a nalysis\, conversational retrieval\, foundation-model and agentic web sys tems\, and fairness and privacy in information access. The broad emerging -applications inventory is not treated as evidence that WSDM is a special ist healthcare or climate venue.\nAdditional topics: Information Retrieva l & Search\, Recommender Systems\, Graphs & Graph Learning\, LLM Agents & Tool Use\, Natural Language Processing & LLMs\nScope sources (2027): htt ps://www.wsdm-conference.org/2027/cffp.html\nScope last checked: 2026-10- 07 URL:https://www.wsdm-conference.org/2027/ LOCATION:Hong Kong\, China END:VEVENT BEGIN:VEVENT UID:aaai-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270216 DTEND;VALUE=DATE:20270224 SUMMARY:[Machine Learning][Deep Representation Learning] AAAI 2027 - Confer ence DESCRIPTION:Conference title: AAAI Conference on Artificial Intelligence\nW ebsite: https://aaai.org/conference/aaai/aaai-27/\nSource URL: https://aa ai.org/conference/aaai/aaai-27/\nLocation: Montreal\, Canada\nTopics: Mac hine Learning\, Deep Representation Learning\, Data Mining & Data Science \, Fairness & Responsible AI\nSize: XXL\nSubmission type: Paper-based / O penReview\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: O fficial AAAI-27 pages list the conference dates\, OpenReview timetable\, and main technical track deadlines. URL:https://aaai.org/conference/aaai/aaai-27/ LOCATION:Montreal\, Canada END:VEVENT BEGIN:VEVENT UID:ifac-sysid-2027-deadline-notification@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270215 DTEND;VALUE=DATE:20270216 SUMMARY:[System Identification & Data-driven Dynamics][Control & Robotics] IFAC SYSID 2027 - Acceptance notification (cutoff time unannounced) DESCRIPTION:Conference title: IFAC Symposium on System Identification\nWebs ite: https://conferences.ifac-control.org/sysid2027/\nSource URL: https:/ /conferences.ifac-control.org/sysid2027/participate/\nLocation: Lyon\, Fr ance\nTopics: System Identification & Data-driven Dynamics\, Control & Ro botics\, Time Series & Sequential Data\, Machine Learning\nSize: M\nSubmi ssion type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-1 0-06\nNotes: Triennial TC 1.1 symposium. Regular papers\, joint journal p apers\, and dissemination/discussion routes have distinct requirements\; consult the call. Published deadline days are confirmed but cutoff hours use estimated end-of-day AoE. Size is an editorial category.\nScope: Syst em identification and data-driven modeling for dynamical systems and cont rol. Characteristic themes include nonlinear identification\, model reduc tion\, identification software and benchmarks\, learning across systems\, and dynamic networks. Application tracks remain grounded in identifying or learning dynamical models\, rather than becoming general-purpose domai n conferences.\nAdditional topics: Nonlinear Dynamics & Chaos\, Complex S ystems & Network Science\nScope sources (2027): https://conferences.ifac- control.org/sysid2027/participate/\nScope last checked: 2026-10-07\nOffic ial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://conferences.ifac-control.org/sysid2027/participate/ END:VEVENT BEGIN:VEVENT UID:interspeech-2027-deadline-paper-update@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270216 DTEND;VALUE=DATE:20270217 SUMMARY:[Signal Processing][Machine Learning] Interspeech 2027 - Update dea dline for already submitted papers (cutoff time unannounced) DESCRIPTION:Conference title: Annual Conference of the International Speech Communication Association\nWebsite: https://interspeech2027.org/\nSource URL: https://interspeech2027.org/\nLocation: Sao Paulo\, Brazil\nTopics: Signal Processing\, Machine Learning\, Deep Representation Learning\, Na tural Language Processing & LLMs\nSize: XL\nSubmission type: Paper-based / interactive demonstration papers\nConfidence: confirmed\nLast checked d ate: 2026-10-07\nNotes: Organizer and ISCA confirm Sao Paulo\, Aug 29-Sep 2. Regular paper\, update\, and camera-ready days are announced without an exact cutoff\; AoE is provisional for those date-only events. Show & T ell explicitly uses 23:59 AoE and requires a two-page paper\, video\, and interactive demonstration. The Feb 16 update is not a fresh submission r oute. XL reflects the official description of more than 2\,000 annual att endees\; the ICORE rank and historical acceptance fields describe the mai n conference\, not its demonstration track.\nScope: Speech science and sp eech technology\, linking spoken-language research with computational met hods for speech recognition\, speech synthesis\, and speech communication . Machine learning and language models are relevant through speech and sp oken-language problems. The current 2027 overview emphasizes the relation ship between speech research and spoken-language technologies.\nAdditiona l topics: \nScope sources (2027): https://interspeech2027.org/\nScope las t checked: 2026-10-07\nOfficial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://interspeech2027.org/ END:VEVENT BEGIN:VEVENT UID:bci-winter-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270222 DTEND;VALUE=DATE:20270225 SUMMARY:[BCI & Neurotechnology][EEG/MEG & Neural Signals] BCI Winter 2027 - Conference DESCRIPTION:Conference title: International Winter Conference on Brain-Comp uter Interface\nWebsite: https://brain.korea.ac.kr/bci2027/\nSource URL: https://brain.korea.ac.kr/bci2027/\nLocation: Jeongseon\, South Korea\nTo pics: BCI & Neurotechnology\, EEG/MEG & Neural Signals\, Signal Processin g\, Machine Learning\nSize: M\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-10-08\nNotes: Co-organizer confirms Fe bruary 22-24\, 2027 at High1 Resort\, Jeongseon. The 2027 deadline is una nnounced\; December 15 is a one-year proxy from the final 2026 author ins tructions and CFP\, which supersede an older October date. Prior six-page papers use IEEE proceedings subject to IEEE quality review\; the 2027 pu blication details await the final CFP. The exact cutoff hour is unknown. Size is an editorial estimate.\nScope: Brain-computer interfaces\, neural signal decoding\, multimodal brain measurements\, neurofeedback and adap tive interfaces. Machine learning is central to biosignal classification and decoding\; neurorehabilitation and interaction with real or virtual e nvironments are characteristic applications. IEEE-style reviewed research papers are the established publication route.\nAdditional topics: Health care & Clinical AI\, Neuroimaging & Brain Mapping\nScope sources (2027): https://brain.korea.ac.kr/bci2027/callforpaper.php\, https://brain.korea. ac.kr/bci2026/assets/CFP_BCI2026.pdf\nScope last checked: 2026-10-08 URL:https://brain.korea.ac.kr/bci2027/ LOCATION:Jeongseon\, South Korea END:VEVENT BEGIN:VEVENT UID:uai-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270226T115900Z DTEND:20270226T125900Z SUMMARY:[Probabilistic\, Causal & Uncertainty ML][Machine Learning] UAI 202 7 - Paper submission deadline (estimated) DESCRIPTION:Conference title: Conference on Uncertainty in Artificial Intel ligence\nWebsite: https://www.auai.org/uai2026/\nSource URL: https://www. auai.org/uai2026/important_dates\nLocation: To be announced\nTopics: Prob abilistic\, Causal & Uncertainty ML\, Machine Learning\, Learning Theory & Statistical Foundations\nSize: L\nSubmission type: Paper-based\nConfide nce: estimated\nLast checked date: 2026-10-06\nNotes: Provisional 1-year cadence projection from UAI 2026. Meeting dates\, location\, and deadline s require organizer confirmation\; website and source links refer to the prior edition.\nScope: Learning and reasoning under uncertainty\, centere d on probabilistic and Bayesian modeling\, graphical models\, causal infe rence\, approximate inference\, and decision theory. Includes Monte Carlo and variational methods\, uncertainty quantification\, sequential models \, and principled analysis of learning algorithms. Uncertainty is the org anizing theme\, not just another application of general-purpose AI.\nAddi tional topics: Deep Representation Learning\, Reinforcement Learning\, Ti me Series & Sequential Data\, Explainability & Interpretability\, Robustn ess & Safety\nScope sources (2026): https://www.auai.org/uai2026/subject_ areas\, https://www.auai.org/uai2026/call_for_papers\nScope last checked: 2026-10-07 URL:https://www.auai.org/uai2026/important_dates END:VEVENT BEGIN:VEVENT UID:miccai-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270227T115900Z DTEND:20270227T125900Z SUMMARY:[Biomedical Imaging][Healthcare & Clinical AI] MICCAI 2027 - Full p aper submission deadline (estimated) DESCRIPTION:Conference title: International Conference on Medical Image Com puting and Computer Assisted Intervention\nWebsite: https://miccai.org/up coming-conferences/\nSource URL: https://conferences.miccai.org/2026/en/d efault.asp\nLocation: Auckland\, New Zealand\nTopics: Biomedical Imaging\ , Healthcare & Clinical AI\, Deep Representation Learning\, Neuroimaging & Brain Mapping\nSize: XL\nSubmission type: Paper-based\nConfidence: esti mated\nLast checked date: 2026-10-06\nNotes: The current MICCAI Society u pcoming-conferences page gives Auckland\, Sep 26-Oct 1. Paper dates are u nannounced\; February dates are prior-edition proxies. URL:https://conferences.miccai.org/2026/en/default.asp END:VEVENT BEGIN:VEVENT UID:iccv-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270304T095900Z DTEND:20270304T105900Z SUMMARY:[Computer Vision & Pattern Recognition][Deep Representation Learnin g] ICCV 2027 - Paper registration deadline (estimated) DESCRIPTION:Conference title: IEEE/CVF International Conference on Computer Vision\nWebsite: https://iccv.thecvf.com/Conferences/2027\nSource URL: h ttps://iccv.thecvf.com/Conferences/2025/CallForPapers\nLocation: Hong Kon g\, China\nTopics: Computer Vision & Pattern Recognition\, Deep Represent ation Learning\, Machine Learning\nSize: XXL\nSubmission type: Paper-base d / OpenReview\nConfidence: estimated\nLast checked date: 2026-10-07\nNot es: The 2027 homepage explicitly announces October 2-8 at the Hong Kong C onvention and Exhibition Centre. Its Dates page conflicts with a generic October 19-23 placeholder and blank venue\; the named-venue homepage take s precedence pending organizer reconciliation. Paper deadlines are bienni al proxies from 2025's explicit 23:59 Hawaii time\, not confirmed 2027 da tes. XXL is an editorial estimate for the overall flagship event.\nScope: Broad computer vision\, from geometry and computational imaging to visua l learning\, recognition\, segmentation\, generation\, and video understa nding. Vision-language and multimodal methods\, visual graphics\, face/bo dy/gesture analysis\, and reliable perception are substantial strands. It is a biennial flagship\, not a general AI applications conference. The c urrent scope is grounded in its 2025 CFP because the 2027 call is not yet published.\nAdditional topics: Computer Graphics & Visualization\, Multi media Learning & Retrieval\, Natural Language Processing & LLMs\, Biometr ics & Human Sensing\, Robustness & Safety\nScope sources (2025): https:// iccv.thecvf.com/Conferences/2025/CallForPapers\nScope last checked: 2026- 10-07 URL:https://iccv.thecvf.com/Conferences/2025/CallForPapers END:VEVENT BEGIN:VEVENT UID:naacl-2027-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270304T115900Z DTEND:20270304T125900Z SUMMARY:[Natural Language Processing & LLMs][LLM Agents & Tool Use] NAACL 2 027 - Camera-ready deadline DESCRIPTION:Conference title: Conference of the Nations of the Americas Cha pter of the Association for Computational Linguistics\nWebsite: https://2 027.naacl.org/\nSource URL: https://2027.naacl.org/calls/main_conference_ papers/\nLocation: San Francisco\, California\, USA\nTopics: Natural Lang uage Processing & LLMs\, LLM Agents & Tool Use\, Information Retrieval & Search\, Deep Representation Learning\nSize: XL\nSubmission type: Paper-b ased\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Former ly North American Chapter\; retains NAACL acronym. Shares October ARR cyc le with COLING\, but authors may commit to only one primary venue. Commit ment is not a fresh-paper route. Size is an editorial estimate.\nScope: L anguage technologies and computational linguistics across the Americas co mmunity\, covering multilingual and low-resource NLP\, language models\, dialogue\, retrieval\, evaluation\, and linguistic analysis. The 2027 the me concerns language as a medium for agentic communication\, not merely r unning multiple models. General application domains are not standalone sp ecialist tags.\nAdditional topics: Autonomous Agents & Multiagent Systems \, Cognitive Science & Computational Cognition\, Fairness & Responsible A I\, Robustness & Safety\, Human-AI Interaction & Deployment\nScope source s (2027): https://2027.naacl.org/calls/main_conference_papers/\nScope las t checked: 2026-10-07 URL:https://2027.naacl.org/calls/main_conference_papers/ END:VEVENT BEGIN:VEVENT UID:ecml-pkdd-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270306T115900Z DTEND:20270306T125900Z SUMMARY:[Machine Learning][Data Mining & Data Science] ECML PKDD 2027 - Abs tract submission deadline (estimated) DESCRIPTION:Conference title: European Conference on Machine Learning and P rinciples and Practice of Knowledge Discovery in Databases\nWebsite: http s://ecmlpkdd.org/2027/\nSource URL: https://ecmlpkdd.org/2026/submissions -research-track/\nLocation: Eindhoven\, Netherlands\nTopics: Machine Lear ning\, Data Mining & Data Science\, Time Series & Sequential Data\, Expla inability & Interpretability\nSize: L\nSubmission type: Paper-based / mix ed tracks\nConfidence: estimated\nLast checked date: 2026-10-06\nNotes: O fficial 2027 page confirms Eindhoven and Aug 30-Sep 3. Paper deadlines ar e provisional 2026 timing proxies and need CFP confirmation. URL:https://ecmlpkdd.org/2026/submissions-research-track/ END:VEVENT BEGIN:VEVENT UID:iccv-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270308T095900Z DTEND:20270308T105900Z SUMMARY:[Computer Vision & Pattern Recognition][Deep Representation Learnin g] ICCV 2027 - Paper submission deadline (estimated) DESCRIPTION:Conference title: IEEE/CVF International Conference on Computer Vision\nWebsite: https://iccv.thecvf.com/Conferences/2027\nSource URL: h ttps://iccv.thecvf.com/Conferences/2025/CallForPapers\nLocation: Hong Kon g\, China\nTopics: Computer Vision & Pattern Recognition\, Deep Represent ation Learning\, Machine Learning\nSize: XXL\nSubmission type: Paper-base d / OpenReview\nConfidence: estimated\nLast checked date: 2026-10-07\nNot es: The 2027 homepage explicitly announces October 2-8 at the Hong Kong C onvention and Exhibition Centre. Its Dates page conflicts with a generic October 19-23 placeholder and blank venue\; the named-venue homepage take s precedence pending organizer reconciliation. Paper deadlines are bienni al proxies from 2025's explicit 23:59 Hawaii time\, not confirmed 2027 da tes. XXL is an editorial estimate for the overall flagship event.\nScope: Broad computer vision\, from geometry and computational imaging to visua l learning\, recognition\, segmentation\, generation\, and video understa nding. Vision-language and multimodal methods\, visual graphics\, face/bo dy/gesture analysis\, and reliable perception are substantial strands. It is a biennial flagship\, not a general AI applications conference. The c urrent scope is grounded in its 2025 CFP because the 2027 call is not yet published.\nAdditional topics: Computer Graphics & Visualization\, Multi media Learning & Retrieval\, Natural Language Processing & LLMs\, Biometr ics & Human Sensing\, Robustness & Safety\nScope sources (2025): https:// iccv.thecvf.com/Conferences/2025/CallForPapers\nScope last checked: 2026- 10-07 URL:https://iccv.thecvf.com/Conferences/2025/CallForPapers END:VEVENT BEGIN:VEVENT UID:complenet-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270309 DTEND;VALUE=DATE:20270313 SUMMARY:[Complex Systems & Network Science][Graphs & Graph Learning] Comple Net 2027 - Conference DESCRIPTION:Conference title: International Conference on Complex Networks\ nWebsite: https://complenet.github.io/\nSource URL: https://complenet.git hub.io/\nLocation: Rochester\, New York\, USA\nTopics: Complex Systems & Network Science\, Graphs & Graph Learning\, Nonlinear Dynamics & Chaos\, Computational Neuroscience\nSize: M\nSubmission type: Full/short papers + extended abstracts\nConfidence: confirmed\nLast checked date: 2026-10-08 \nNotes: University of Rochester host. Reviewed long and short papers app ear in Springer Complexity\; the abstract-only route does not produce a p roceedings paper. All three routes share the AoE deadline\, with no manda tory abstract-registration gate. Size is an editorial estimate.\nScope: N etwork science across mathematical\, biological\, technological and socia l systems\, with characteristic interests in network dynamics\, community structure\, temporal and multilayer networks\, network neuroscience and learning on networks. Long and short reviewed papers are distinct from ab stract-only presentations.\nAdditional topics: Time Series & Sequential D ata\, Data Mining & Data Science\, Machine Learning\nScope sources (2027) : https://complenet.github.io/cfp.html\nScope last checked: 2026-10-08 URL:https://complenet.github.io/ LOCATION:Rochester\, New York\, USA END:VEVENT BEGIN:VEVENT UID:eacl-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270309 DTEND;VALUE=DATE:20270315 SUMMARY:[Natural Language Processing & LLMs][Machine Learning] EACL 2027 - Conference DESCRIPTION:Conference title: Conference of the European Chapter of the Ass ociation for Computational Linguistics\nWebsite: https://2027.eacl.org/\n Source URL: https://2027.eacl.org/\nLocation: Athens\, Greece\nTopics: Na tural Language Processing & LLMs\, Machine Learning\, Deep Representation Learning\, Human-AI Interaction & Deployment\nSize: XL\nSubmission type: Paper-based / ACL Rolling Review\nConfidence: confirmed\nLast checked da te: 2026-08-31\nNotes: Official EACL 2027 pages confirm the hybrid Athens meeting\, Mar 9-14\, and the ARR Aug 3 submission and Oct 11 commitment deadlines.\nScope: Computational linguistics and natural language process ing\, including language modeling\, multilingual processing\, translation \, dialogue\, information extraction\, semantics\, and linguistic analysi s. Human-centered evaluation\, interpretability\, and bias are relevant w ithin language research. The reviewed 2027 theme strengthens connections to psycholinguistics and cognitive modeling\; peripheral application doma ins are not extra tags.\nAdditional topics: Explainability & Interpretabi lity\, Fairness & Responsible AI\, Cognitive Science & Computational Cogn ition\nScope sources (2027): https://2027.eacl.org/calls/papers/\nScope l ast checked: 2026-10-07 URL:https://2027.eacl.org/ LOCATION:Athens\, Greece END:VEVENT BEGIN:VEVENT UID:interspeech-2027-deadline-short-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270310T115900Z DTEND:20270310T125900Z SUMMARY:[Signal Processing][Machine Learning] Interspeech 2027 - Show & Tel l paper and video submission deadline DESCRIPTION:Conference title: Annual Conference of the International Speech Communication Association\nWebsite: https://interspeech2027.org/\nSource URL: https://interspeech2027.org/calls/call_show_and_tell/\nLocation: Sa o Paulo\, Brazil\nTopics: Signal Processing\, Machine Learning\, Deep Rep resentation Learning\, Natural Language Processing & LLMs\nSize: XL\nSubm ission type: Paper-based / interactive demonstration papers\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Organizer and ISCA confi rm Sao Paulo\, Aug 29-Sep 2. Regular paper\, update\, and camera-ready da ys are announced without an exact cutoff\; AoE is provisional for those d ate-only events. Show & Tell explicitly uses 23:59 AoE and requires a two -page paper\, video\, and interactive demonstration. The Feb 16 update is not a fresh submission route. XL reflects the official description of mo re than 2\,000 annual attendees\; the ICORE rank and historical acceptanc e fields describe the main conference\, not its demonstration track.\nSco pe: Speech science and speech technology\, linking spoken-language resear ch with computational methods for speech recognition\, speech synthesis\, and speech communication. Machine learning and language models are relev ant through speech and spoken-language problems. The current 2027 overvie w emphasizes the relationship between speech research and spoken-language technologies.\nAdditional topics: \nScope sources (2027): https://inters peech2027.org/\nScope last checked: 2026-10-07 URL:https://interspeech2027.org/calls/call_show_and_tell/ END:VEVENT BEGIN:VEVENT UID:nice-2027-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270310T115900Z DTEND:20270310T125900Z SUMMARY:[Neuromorphic & Brain-inspired Computing][Computational Neuroscienc e] NICE 2027 - Camera-ready research paper deadline DESCRIPTION:Conference title: Neuro Inspired Computational Elements Confere nce\nWebsite: https://niceworkshop.org/nice-2027/\nSource URL: https://ea sychair.org/cfp/nice2027\nLocation: Brighton\, United Kingdom\nTopics: Ne uromorphic & Brain-inspired Computing\, Computational Neuroscience\, Mach ine Learning\, BCI & Neurotechnology\nSize: M\nSubmission type: Research papers + late-breaking abstracts\nConfidence: confirmed\nLast checked dat e: 2026-10-08\nNotes: Main conference April 6-8\; dedicated tutorials Apr il 9. Accepted proceedings research papers are published through IEEE\; l ate-breaking abstracts are non-archival\, and some poster contributions m ay not enter the proceedings. Neither a scheduled opening nor a live subm ission portal has been verified. Size is an editorial estimate.\nScope: N euromorphic and brain-inspired computing at the intersection of neuroscie nce\, algorithms and hardware. Characteristic work includes spiking neura l networks\, learning in neural systems\, event-driven computation\, neur omorphic processors and embodied applications. Research papers and late-b reaking abstracts are different contribution routes.\nAdditional topics: ML Systems & Infrastructure\, Deep Representation Learning\, Control & Ro botics\nScope sources (2027): https://easychair.org/cfp/nice2027\nScope l ast checked: 2026-10-08 URL:https://easychair.org/cfp/nice2027 END:VEVENT BEGIN:VEVENT UID:cosyne-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270311 DTEND;VALUE=DATE:20270317 SUMMARY:[Computational Neuroscience][EEG/MEG & Neural Signals] COSYNE 2027 - Conference DESCRIPTION:Conference title: Computational and Systems Neuroscience\nWebsi te: https://www.cosyne.org/\nSource URL: https://www.cosyne.org/\nLocatio n: Montreal\, Canada\nTopics: Computational Neuroscience\, EEG/MEG & Neur al Signals\, Machine Learning\, Deep Representation Learning\nSize: L\nSu bmission type: Abstract-based / talks highly selective\nConfidence: confi rmed\nLast checked date: 2026-10-06\nNotes: Official COSYNE 2027 pages co nfirm Montreal\, Mar 11-16\, and the Oct 18 abstract submission deadline. The abstract submission link was live on Oct 6. URL:https://www.cosyne.org/ LOCATION:Montreal\, Canada END:VEVENT BEGIN:VEVENT UID:acc-2027-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270312 DTEND;VALUE=DATE:20270313 SUMMARY:[Control & Robotics][System Identification & Data-driven Dynamics] ACC 2027 - Final manuscript submission (cutoff time unannounced) DESCRIPTION:Conference title: American Control Conference\nWebsite: https:/ /acc2027.a2c2.org/\nSource URL: https://acc2027.a2c2.org/\nLocation: Phil adelphia\, Pennsylvania\, USA\nTopics: Control & Robotics\, System Identi fication & Data-driven Dynamics\, Reinforcement Learning\nSize: XL\nSubmi ssion type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-1 0-06\nNotes: Annual AACC meeting. The firm regular-paper extension is Oct ober 2\, not the older September 25 CFP date. Later tutorial papers depen d on an accepted tutorial session and are not an unrestricted new-paper r oute. Cutoff hours use estimated end-of-day AoE. Size is an editorial cat egory.\nOfficial deadline day\; exact cutoff hour/timezone is unannounced . Verify the organizer's submission portal. URL:https://acc2027.a2c2.org/ END:VEVENT BEGIN:VEVENT UID:ecml-pkdd-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270313T115900Z DTEND:20270313T125900Z SUMMARY:[Machine Learning][Data Mining & Data Science] ECML PKDD 2027 - Ful l paper submission deadline (estimated) DESCRIPTION:Conference title: European Conference on Machine Learning and P rinciples and Practice of Knowledge Discovery in Databases\nWebsite: http s://ecmlpkdd.org/2027/\nSource URL: https://ecmlpkdd.org/2026/submissions -research-track/\nLocation: Eindhoven\, Netherlands\nTopics: Machine Lear ning\, Data Mining & Data Science\, Time Series & Sequential Data\, Expla inability & Interpretability\nSize: L\nSubmission type: Paper-based / mix ed tracks\nConfidence: estimated\nLast checked date: 2026-10-06\nNotes: O fficial 2027 page confirms Eindhoven and Aug 30-Sep 3. Paper deadlines ar e provisional 2026 timing proxies and need CFP confirmation. URL:https://ecmlpkdd.org/2026/submissions-research-track/ END:VEVENT BEGIN:VEVENT UID:midl-2027-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270313T115900Z DTEND:20270313T125900Z SUMMARY:[Biomedical Imaging][Deep Representation Learning] MIDL 2027 - Came ra-ready deadline DESCRIPTION:Conference title: Medical Imaging with Deep Learning\nWebsite: https://2027.midl.io/\nSource URL: https://2027.midl.io/important-dates\n Location: Porto\, Portugal\nTopics: Biomedical Imaging\, Deep Representat ion Learning\, Healthcare & Clinical AI\nSize: M\nSubmission type: Paper- based\nConfidence: confirmed\nLast checked date: 2026-10-06\nNotes: Offic ial 2027 dates page confirms the July meeting\, full-paper registration a nd submission\, and camera-ready dates. Short-paper submission is still T BD.\nScope: Deep learning for biomedical image analysis\, especially segm entation\, detection\, reconstruction\, registration\, generative imaging \, and learning from limited labels. Uncertainty\, interpretability\, mul ti-site learning\, robustness\, and clinical validation extend that imagi ng core. Multimodal foundation models are relevant when grounded in medic al imaging.\nAdditional topics: Computer Vision & Pattern Recognition\, P robabilistic\, Causal & Uncertainty ML\, Explainability & Interpretabilit y\, Robustness & Safety\, Federated & Distributed Learning\nScope sources (2026): https://2026.midl.io/call-for-papers\nScope last checked: 2026-1 0-07 URL:https://2027.midl.io/important-dates END:VEVENT BEGIN:VEVENT UID:chil-2027-deadline-doctoral-symposium@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270314T115900Z DTEND:20270314T125900Z SUMMARY:[Healthcare & Clinical AI][Probabilistic\, Causal & Uncertainty ML] CHIL 2027 - Doctoral symposium application (estimated) DESCRIPTION:Conference title: Conference on Health\, Inference\, and Learni ng\nWebsite: https://chil.ahli.cc/\nSource URL: https://chil.ahli.cc/\nLo cation: To be announced\nTopics: Healthcare & Clinical AI\, Probabilistic \, Causal & Uncertainty ML\, Fairness & Responsible AI\, Machine Learning \nSize: M\nSubmission type: Paper-based\nConfidence: estimated\nLast chec ked date: 2026-10-06\nNotes: Provisional 1-year cadence projection from C HIL 2026. Meeting dates\, location\, and deadlines require organizer conf irmation\; website and source links refer to the prior edition.\nScope: M achine learning and inference for clinical\, public\, and population heal th. Distinguishing areas include causal inference\, survival analysis\, m ultimodal health data\, generalization across populations\, interpretabil ity\, and clinical evaluation and deployment. Research may emphasize meth ods\, practical applications\, or societal impact. Health-focused inferen ce and evaluation remain the common thread across these tracks.\nAddition al topics: Explainability & Interpretability\, Human-AI Interaction & Dep loyment\, Robustness & Safety\, Time Series & Sequential Data\nScope sour ces (2026): https://chil.ahli.cc/submit/call-for-papers/\nScope last chec ked: 2026-10-07 URL:https://chil.ahli.cc/ END:VEVENT BEGIN:VEVENT UID:conll-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270315T115900Z DTEND:20270315T125900Z SUMMARY:[Natural Language Processing & LLMs][Cognitive Science & Computatio nal Cognition] CoNLL 2027 - Estimated direct paper submission deadline (e stimated) DESCRIPTION:Conference title: Conference on Computational Natural Language Learning\nWebsite: https://www.conll.org/\nSource URL: https://www.aclweb .org/portal/content/conll-2025-2nd-call-papers\nLocation: To be announced \nTopics: Natural Language Processing & LLMs\, Cognitive Science & Comput ational Cognition\, Computational Neuroscience\, Explainability & Interpr etability\nSize: S\nSubmission type: Paper-based\nConfidence: estimated\n Last checked date: 2026-10-07\nNotes: Annual series. Meeting is a one-yea r proxy from the confirmed 2026 meeting\; paper timing is a two-year prox y from the last retrievable 2025 direct-submission CFP\, not verified 202 6 timing. Host/co-location and submission mechanism require confirmation. Size is an editorial estimate.\nScope: Scientifically\, cognitively\, an d linguistically motivated computational language learning. Characteristi c work concerns language acquisition\, psycholinguistics\, grammars and m eaning\, multilinguality\, language and the brain\, and grounded language models. This is a focused scientific NLP venue rather than a generic emp irical language-model benchmark conference.\nAdditional topics: Deep Repr esentation Learning\, Multimedia Learning & Retrieval\nScope sources (202 6): https://www.conll.org/2026\nScope last checked: 2026-10-07 URL:https://www.aclweb.org/portal/content/conll-2025-2nd-call-papers END:VEVENT BEGIN:VEVENT UID:icann-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270317T115900Z DTEND:20270317T125900Z SUMMARY:[Machine Learning][Deep Representation Learning] ICANN 2027 - Full paper and abstract submission deadline (estimated) DESCRIPTION:Conference title: International Conference on Artificial Neural Networks\nWebsite: https://e-nns.org/icann2026/\nSource URL: https://e-n ns.org/icann2026/\nLocation: To be announced\nTopics: Machine Learning\, Deep Representation Learning\, Computational Neuroscience\, Signal Proces sing\nSize: L\nSubmission type: Paper-based\nConfidence: estimated\nLast checked date: 2026-10-06\nNotes: Provisional 1-year cadence projection fr om ICANN 2026. Meeting dates\, location\, and deadlines require organizer confirmation\; website and source links refer to the prior edition. URL:https://e-nns.org/icann2026/ END:VEVENT BEGIN:VEVENT UID:ieee-cdc-2027-deadline-journal-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270317 DTEND;VALUE=DATE:20270318 SUMMARY:[Control & Robotics][System Identification & Data-driven Dynamics] IEEE CDC 2027 - Joint L-CSS and CDC submission (cutoff time unannounced) DESCRIPTION:Conference title: IEEE Conference on Decision and Control\nWebs ite: https://cdc2027.ieeecss.org/\nSource URL: https://cdc2027.ieeecss.or g/authors/call-for-papers\nLocation: Lisbon\, Portugal\nTopics: Control & Robotics\, System Identification & Data-driven Dynamics\, Nonlinear Dyna mics & Chaos\, Reinforcement Learning\nSize: XL\nSubmission type: Paper-b ased\nConfidence: confirmed\nLast checked date: 2026-10-06\nNotes: Offici al future edition in Lisbon\; main meeting excludes December 13 workshops . Deadline days and opening day published\; exact cutoff hours use estima ted end-of-day AoE. Size is an editorial category.\nOfficial deadline day \; exact cutoff hour/timezone is unannounced. Verify the organizer's subm ission portal. URL:https://cdc2027.ieeecss.org/authors/call-for-papers END:VEVENT BEGIN:VEVENT UID:cns-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270319T115900Z DTEND:20270319T125900Z SUMMARY:[Computational Neuroscience][Time Series & Sequential Data] CNS* 20 27 - Abstract submission deadline (estimated) DESCRIPTION:Conference title: Computational Neuroscience Annual Meeting\nWe bsite: https://www.cnsorg.org/\nSource URL: https://www.cnsorg.org/cns-20 26-dates\nLocation: Gran Canaria\, Spain\nTopics: Computational Neuroscie nce\, Time Series & Sequential Data\, Machine Learning\nSize: M\nSubmissi on type: Abstract-based\nConfidence: estimated\nLast checked date: 2026-1 0-06\nNotes: OCNS confirms Gran Canaria\, Jul 10-14. Abstract deadline re mains a prior-edition timing estimate. URL:https://www.cnsorg.org/cns-2026-dates END:VEVENT BEGIN:VEVENT UID:pakdd-2027-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270320T115900Z DTEND:20270320T125900Z SUMMARY:[Data Mining & Data Science][Machine Learning] PAKDD 2027 - Camera- ready deadline DESCRIPTION:Conference title: Pacific-Asia Conference on Knowledge Discover y and Data Mining\nWebsite: https://pakdd2027.org/\nSource URL: https://p akdd2027.org/pages/dates\nLocation: Wellington\, New Zealand\nTopics: Dat a Mining & Data Science\, Machine Learning\, Time Series & Sequential Dat a\, Learning Theory & Statistical Foundations\nSize: L\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-10-05\nNotes: Official PAKDD 2027 site confirms Wellington\, Jun 29-Jul 2\, and Nov 20 research-track submission and Mar 19 camera-ready deadlines\, all AoE. URL:https://pakdd2027.org/pages/dates END:VEVENT BEGIN:VEVENT UID:ecir-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270321 DTEND;VALUE=DATE:20270326 SUMMARY:[Information Retrieval & Search][Recommender Systems] ECIR 2027 - C onference DESCRIPTION:Conference title: European Conference on Information Retrieval\ nWebsite: https://www.ecir2027.co.uk/\nSource URL: https://www.ecir2027.c o.uk/\nLocation: Southampton\, UK\nTopics: Information Retrieval & Search \, Recommender Systems\, Natural Language Processing & LLMs\, LLM Agents & Tool Use\nSize: L\nSubmission type: Paper-based\nConfidence: confirmed\ nLast checked date: 2026-10-07\nNotes: Track-specific calls confirm paper days but no exact cutoff hour. Full/short abstract gates are already clo sed\; replicability and resource papers remain independent opportunities. Resource papers report original research resources\, not camera-ready wo rk. Size is an editorial estimate.\nScope: Information retrieval and rank ing\, recommendation\, conversational search and RAG\, user information i nteraction\, system efficiency\, and rigorous evaluation. The 2027 call e xplicitly includes language models and agentic retrieval workflows. Repli cability and research-resource papers are distinct routes. Fairness and e xplainability concern information access rather than generic responsible- AI topics.\nAdditional topics: Human-AI Interaction & Deployment\, Explai nability & Interpretability\, Fairness & Responsible AI\, Multimedia Lear ning & Retrieval\nScope sources (2027): https://www.ecir2027.co.uk/call-f or-full-papers\nScope last checked: 2026-10-07 URL:https://www.ecir2027.co.uk/ LOCATION:Southampton\, UK END:VEVENT BEGIN:VEVENT UID:probml-2027-deadline-extended-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270321T115900Z DTEND:20270321T125900Z SUMMARY:[Probabilistic\, Causal & Uncertainty ML][Learning Theory & Statist ical Foundations] ProbML 2027 - Non-archival workshop submission deadline (estimated) DESCRIPTION:Conference title: Symposium on Probabilistic Machine Learning\n Website: https://probml.cc/\nSource URL: https://probml.cc/call/\nLocatio n: To be announced\nTopics: Probabilistic\, Causal & Uncertainty ML\, Lea rning Theory & Statistical Foundations\, Machine Learning\, Healthcare & Clinical AI\nSize: S\nSubmission type: Paper-based / non-archival extende d abstracts\nConfidence: estimated\nLast checked date: 2026-10-07\nNotes: Formerly AABI. Recent editions recur annually\, but no official 2027 sch edule was found. Meeting and submission dates project ProbML 2026 timing\ ; location\, ICML co-location\, and the 2026 healthcare/climate applicati on focus require reconfirmation. The prior fast track requires a paper ac cepted elsewhere\, so it is not treated as a fresh submission route. Size S is an editorial estimate for this specialist symposium.\nScope: Probab ilistic and Bayesian machine learning\, emphasizing approximate inference \, variational and Monte Carlo methods\, Gaussian processes\, graphical a nd state-space models\, calibration\, and decisions under uncertainty. In cludes Bayesian optimization and uncertainty-aware deep learning. The rev iewed 2026 application focus is healthcare and climate\; probabilistic re asoning remains essential to a suitable contribution.\nAdditional topics: Deep Representation Learning\, Reinforcement Learning\, Time Series & Se quential Data\, Robustness & Safety\nScope sources (2026): https://probml .cc/call/\nScope last checked: 2026-10-07 URL:https://probml.cc/call/ END:VEVENT BEGIN:VEVENT UID:probml-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270321T115900Z DTEND:20270321T125900Z SUMMARY:[Probabilistic\, Causal & Uncertainty ML][Learning Theory & Statist ical Foundations] ProbML 2027 - Proceedings paper submission deadline (es timated) DESCRIPTION:Conference title: Symposium on Probabilistic Machine Learning\n Website: https://probml.cc/\nSource URL: https://probml.cc/call/\nLocatio n: To be announced\nTopics: Probabilistic\, Causal & Uncertainty ML\, Lea rning Theory & Statistical Foundations\, Machine Learning\, Healthcare & Clinical AI\nSize: S\nSubmission type: Paper-based / non-archival extende d abstracts\nConfidence: estimated\nLast checked date: 2026-10-07\nNotes: Formerly AABI. Recent editions recur annually\, but no official 2027 sch edule was found. Meeting and submission dates project ProbML 2026 timing\ ; location\, ICML co-location\, and the 2026 healthcare/climate applicati on focus require reconfirmation. The prior fast track requires a paper ac cepted elsewhere\, so it is not treated as a fresh submission route. Size S is an editorial estimate for this specialist symposium.\nScope: Probab ilistic and Bayesian machine learning\, emphasizing approximate inference \, variational and Monte Carlo methods\, Gaussian processes\, graphical a nd state-space models\, calibration\, and decisions under uncertainty. In cludes Bayesian optimization and uncertainty-aware deep learning. The rev iewed 2026 application focus is healthcare and climate\; probabilistic re asoning remains essential to a suitable contribution.\nAdditional topics: Deep Representation Learning\, Reinforcement Learning\, Time Series & Se quential Data\, Robustness & Safety\nScope sources (2026): https://probml .cc/call/\nScope last checked: 2026-10-07 URL:https://probml.cc/call/ END:VEVENT BEGIN:VEVENT UID:ieee-ner-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270324T065900Z DTEND:20270324T075900Z SUMMARY:[BCI & Neurotechnology][EEG/MEG & Neural Signals] IEEE NER 2027 - F ull paper submission deadline (estimated) DESCRIPTION:Conference title: International IEEE EMBS Conference on Neural Engineering\nWebsite: https://ieee-ner.org/\nSource URL: https://neuro.em bs.org/2025/wp-content/uploads/sites/113/2025/04/NER-25-CFPv.6.pdf\nLocat ion: Milan\, Italy\nTopics: BCI & Neurotechnology\, EEG/MEG & Neural Sign als\, Signal Processing\, Healthcare & Clinical AI\nSize: M\nSubmission t ype: Paper-based / engineering-focused\nConfidence: estimated\nLast check ed date: 2026-10-06\nNotes: The official IEEE EMBS announcement confirms Milan\, Sep 7-10\, 2027. Submission dates are estimates using the 2025 CF P lead times before the meeting\; the 2027 CFP is not yet published. URL:https://neuro.embs.org/2025/wp-content/uploads/sites/113/2025/04/NER-25 -CFPv.6.pdf END:VEVENT BEGIN:VEVENT UID:acm-mm-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270325 DTEND;VALUE=DATE:20270326 SUMMARY:[Multimedia Learning & Retrieval][Computer Vision & Pattern Recogni tion] ACM MM 2027 - Main-track contribution registration deadline (estima ted) (cutoff time unannounced) DESCRIPTION:Conference title: ACM International Conference on Multimedia\nW ebsite: https://www.acmmm.org/\nSource URL: https://2026.acmmm.org/site/i mportant-dates.html\nLocation: Hong Kong\, China\nTopics: Multimedia Lear ning & Retrieval\, Computer Vision & Pattern Recognition\, Deep Represent ation Learning\, Signal Processing\nSize: XL\nSubmission type: Paper-base d / multimedia research\nConfidence: estimated\nLast checked date: 2026-1 0-07\nNotes: The steering committee announces Hong Kong for 2027 with dat es TBA. Meeting and main-paper timing are annual proxies from 2026\, not official 2027 dates. The location is announced\, but the estimated meetin g is excluded from the confirmed-conference map. XL is an editorial size estimate.\nScope: Multimedia understanding\, learning\, generation\, and retrieval across image\, video\, audio\, language\, and other modalities. Characteristic work includes multimodal fusion\, generative and foundati on models\, scalable indexing and search\, cross-modal alignment\, and hu man-centered multimedia experiences. The 2026 steering-committee scope al so emphasizes explainability. Healthcare\, education\, and entertainment are applications\, not blanket topical identities.\nAdditional topics: Ma chine Learning\, Natural Language Processing & LLMs\, Human-AI Interactio n & Deployment\, Data Mining & Data Science\, Explainability & Interpreta bility\nScope sources (2026): https://2026.acmmm.org/site/topics.html\, h ttps://2026.acmmm.org/\nScope last checked: 2026-10-07\nOfficial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://2026.acmmm.org/site/important-dates.html END:VEVENT BEGIN:VEVENT UID:colm-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270327T115900Z DTEND:20270327T125900Z SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] COLM 2027 - Estimated mandatory abstract deadline (estimated) DESCRIPTION:Conference title: Conference on Language Modeling\nWebsite: htt ps://colm.cc/\nSource URL: https://colm.cc/Conferences/2026/CallForPapers \nLocation: To be announced\nTopics: Natural Language Processing & LLMs\, Deep Representation Learning\, LLM Agents & Tool Use\, Information Retri eval & Search\nSize: L\nSubmission type: Paper-based\nConfidence: estimat ed\nLast checked date: 2026-10-07\nNotes: Annual 2024-2026 history suppor ts a provisional 2027 planning row. Exact meeting dates and mandatory abs tract/paper cutoffs are one-year proxies from 2026\; host and portal not announced. Size is an editorial estimate.\nScope: Language-model foundati ons and methods: training and architecture\, data and scaling\, inference and generation\, evaluation\, reasoning\, retrieval augmentation\, and t ool-using language agents. Alignment\, interpretability\, and multimodal language models are meaningful extensions. A central language-model contr ibution distinguishes the conference from generic AI applications.\nAddit ional topics: Learning Theory & Statistical Foundations\, Explainability & Interpretability\, Robustness & Safety\, Fairness & Responsible AI\, Mu ltimedia Learning & Retrieval\nScope sources (2026): https://colm.cc/Conf erences/2026/CallForPapers\nScope last checked: 2026-10-07 URL:https://colm.cc/Conferences/2026/CallForPapers END:VEVENT BEGIN:VEVENT UID:eurogp-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270331 DTEND;VALUE=DATE:20270403 SUMMARY:[Evolutionary Computation & Optimization][Machine Learning] EuroGP 2027 - Conference DESCRIPTION:Conference title: European Conference on Genetic Programming\nW ebsite: https://www.evostar.org/2027/eurogp/\nSource URL: https://www.evo star.org/2027/\nLocation: Mainz\, Germany\nTopics: Evolutionary Computati on & Optimization\, Machine Learning\, Explainability & Interpretability\ nSize: S\nSubmission type: Paper-based / Springer LNCS\nConfidence: confi rmed\nLast checked date: 2026-10-07\nNotes: Official EvoStar pages confir m Mainz\, March 31-April 2\, in hybrid mode. Published deadline days have no exact cutoff hour or timezone\; AoE timestamps are provisional and ca lendars use all-day events. The shared EvoStar late-breaking-abstract dat e is not yet a verified EuroGP-specific paper route. S is an editorial si ze estimate for EuroGP\, not the whole EvoStar event.\nScope: Genetic pro gramming and evolutionary program synthesis\, including symbolic regressi on\, program representations and operators\, surrogate-assisted search\, multi-objective evolution\, and interpretable learned programs. Evolution ary machine learning\, AutoML pipelines\, and neuroevolution connect this focused methodological community to ML. Application domains do not defin e its tags.\nAdditional topics: Learning Theory & Statistical Foundations \, Deep Representation Learning\nScope sources (2027): https://www.evosta r.org/2027/eurogp/\nScope last checked: 2026-10-07 URL:https://www.evostar.org/2027/ LOCATION:Mainz\, Germany END:VEVENT BEGIN:VEVENT UID:alife-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270331T115900Z DTEND:20270331T125900Z SUMMARY:[Artificial Life & Adaptive Systems][Complex Systems & Network Scie nce] ALIFE 2027 - Estimated full-paper submission deadline (estimated) DESCRIPTION:Conference title: International Conference on Artificial Life\n Website: https://alife.vscht.cz/\nSource URL: https://2026.alife.org/call -for-papers/\nLocation: Prague\, Czech Republic\nTopics: Artificial Life & Adaptive Systems\, Complex Systems & Network Science\, Evolutionary Com putation & Optimization\, Cognitive Science & Computational Cognition\nSi ze: L\nSubmission type: Full papers + non-archival abstracts\nConfidence: estimated\nLast checked date: 2026-10-08\nNotes: Organizer confirms July 19-23 in Prague\, but the 2027 call is not announced. The full-paper cut off is a one-year proxy from the original 2026 March 30 deadline\, not it s extension. No late-breaking abstract date is copied because the meeting has moved earlier. Size is an editorial estimate.\nScope: Artificial lif e and life-like processes in computational\, robotic and biological syste ms. Central questions concern emergence\, evolution\, adaptation\, embodi ed intelligence and cognition. Relevant ML work studies adaptive agents\, evolutionary learning and computational models of living systems\; it is not a general-purpose AI conference.\nAdditional topics: Autonomous Agen ts & Multiagent Systems\, Control & Robotics\, Machine Learning\nScope so urces (2026): https://2026.alife.org/call-for-papers/\, https://alife.org /conference/alife-2027/\nScope last checked: 2026-10-08 URL:https://2026.alife.org/call-for-papers/ END:VEVENT BEGIN:VEVENT UID:colm-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270401T115900Z DTEND:20270401T125900Z SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] COLM 2027 - Estimated paper submission deadline (estimated) DESCRIPTION:Conference title: Conference on Language Modeling\nWebsite: htt ps://colm.cc/\nSource URL: https://colm.cc/Conferences/2026/CallForPapers \nLocation: To be announced\nTopics: Natural Language Processing & LLMs\, Deep Representation Learning\, LLM Agents & Tool Use\, Information Retri eval & Search\nSize: L\nSubmission type: Paper-based\nConfidence: estimat ed\nLast checked date: 2026-10-07\nNotes: Annual 2024-2026 history suppor ts a provisional 2027 planning row. Exact meeting dates and mandatory abs tract/paper cutoffs are one-year proxies from 2026\; host and portal not announced. Size is an editorial estimate.\nScope: Language-model foundati ons and methods: training and architecture\, data and scaling\, inference and generation\, evaluation\, reasoning\, retrieval augmentation\, and t ool-using language agents. Alignment\, interpretability\, and multimodal language models are meaningful extensions. A central language-model contr ibution distinguishes the conference from generic AI applications.\nAddit ional topics: Learning Theory & Statistical Foundations\, Explainability & Interpretability\, Robustness & Safety\, Fairness & Responsible AI\, Mu ltimedia Learning & Retrieval\nScope sources (2026): https://colm.cc/Conf erences/2026/CallForPapers\nScope last checked: 2026-10-07 URL:https://colm.cc/Conferences/2026/CallForPapers END:VEVENT BEGIN:VEVENT UID:icip-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270331 DTEND;VALUE=DATE:20270401 SUMMARY:[Signal Processing][Computer Vision & Pattern Recognition] ICIP 202 7 - Conference paper submission deadline (cutoff time unannounced) DESCRIPTION:Conference title: IEEE International Conference on Image Proces sing\nWebsite: https://2027.ieeeicip.org/\nSource URL: https://signalproc essingsociety.org/events/2027-ieee-international-conference-image-process ing-icip\nLocation: Singapore\nTopics: Signal Processing\, Computer Visio n & Pattern Recognition\, Machine Learning\, Deep Representation Learning \nSize: XL\nSubmission type: Paper-based\nConfidence: confirmed\nLast che cked date: 2026-10-07\nNotes: IEEE Signal Processing Society confirms Sin gapore\, Nov 29-Dec 3\, and Mar 31 paper deadline. Exact submission hour/ timezone and opening are not announced\; 23:59 AoE is only an ordering pr oxy and ICS uses an all-day event. Topics reflect the continuing image-pr ocessing/learning scope in the prior CFP. Size XL is an editorial estimat e.\nScope: Image and video processing across theory\, algorithms\, and im aging systems. Characteristic problems include restoration\, enhancement\ , reconstruction\, registration\, compression\, quality assessment\, and visual analysis. Learning methods and generative models are relevant when they advance image or video processing. The long list of imaging applica tion domains is intentionally not converted into extra specialist-confere nce tags.\nAdditional topics: \nScope sources (2026): https://2026.ieeeic ip.org/topics/\nScope last checked: 2026-10-07\nOfficial deadline day\; e xact cutoff hour/timezone is unannounced. Verify the organizer's submissi on portal. URL:https://signalprocessingsociety.org/events/2027-ieee-international-conf erence-image-processing-icip END:VEVENT BEGIN:VEVENT UID:ieee-cdc-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270331 DTEND;VALUE=DATE:20270401 SUMMARY:[Control & Robotics][System Identification & Data-driven Dynamics] IEEE CDC 2027 - Regular paper submission (cutoff time unannounced) DESCRIPTION:Conference title: IEEE Conference on Decision and Control\nWebs ite: https://cdc2027.ieeecss.org/\nSource URL: https://cdc2027.ieeecss.or g/authors/call-for-papers\nLocation: Lisbon\, Portugal\nTopics: Control & Robotics\, System Identification & Data-driven Dynamics\, Nonlinear Dyna mics & Chaos\, Reinforcement Learning\nSize: XL\nSubmission type: Paper-b ased\nConfidence: confirmed\nLast checked date: 2026-10-06\nNotes: Offici al future edition in Lisbon\; main meeting excludes December 13 workshops . Deadline days and opening day published\; exact cutoff hours use estima ted end-of-day AoE. Size is an editorial category.\nOfficial deadline day \; exact cutoff hour/timezone is unannounced. Verify the organizer's subm ission portal. URL:https://cdc2027.ieeecss.org/authors/call-for-papers END:VEVENT BEGIN:VEVENT UID:acm-mm-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270401 DTEND;VALUE=DATE:20270402 SUMMARY:[Multimedia Learning & Retrieval][Computer Vision & Pattern Recogni tion] ACM MM 2027 - Main-track paper submission deadline (estimated) (cut off time unannounced) DESCRIPTION:Conference title: ACM International Conference on Multimedia\nW ebsite: https://www.acmmm.org/\nSource URL: https://2026.acmmm.org/site/i mportant-dates.html\nLocation: Hong Kong\, China\nTopics: Multimedia Lear ning & Retrieval\, Computer Vision & Pattern Recognition\, Deep Represent ation Learning\, Signal Processing\nSize: XL\nSubmission type: Paper-base d / multimedia research\nConfidence: estimated\nLast checked date: 2026-1 0-07\nNotes: The steering committee announces Hong Kong for 2027 with dat es TBA. Meeting and main-paper timing are annual proxies from 2026\, not official 2027 dates. The location is announced\, but the estimated meetin g is excluded from the confirmed-conference map. XL is an editorial size estimate.\nScope: Multimedia understanding\, learning\, generation\, and retrieval across image\, video\, audio\, language\, and other modalities. Characteristic work includes multimodal fusion\, generative and foundati on models\, scalable indexing and search\, cross-modal alignment\, and hu man-centered multimedia experiences. The 2026 steering-committee scope al so emphasizes explainability. Healthcare\, education\, and entertainment are applications\, not blanket topical identities.\nAdditional topics: Ma chine Learning\, Natural Language Processing & LLMs\, Human-AI Interactio n & Deployment\, Data Mining & Data Science\, Explainability & Interpreta bility\nScope sources (2026): https://2026.acmmm.org/site/topics.html\, h ttps://2026.acmmm.org/\nScope last checked: 2026-10-07\nOfficial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://2026.acmmm.org/site/important-dates.html END:VEVENT BEGIN:VEVENT UID:ccn-2027-deadline-extended-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270403T115900Z DTEND:20270403T125900Z SUMMARY:[Computational Neuroscience][Deep Representation Learning] CCN 2027 - 2-page extended abstract submission deadline (estimated) DESCRIPTION:Conference title: Conference on Cognitive Computational Neurosc ience\nWebsite: https://2027.ccneuro.org/\nSource URL: https://2026.ccneu ro.org/dates-and-deadlines/\nLocation: Edinburgh\, United Kingdom\nTopics : Computational Neuroscience\, Deep Representation Learning\, Neuroimagin g & Brain Mapping\, Machine Learning\nSize: M\nSubmission type: Mixed: pr oceedings + extended abstracts\nConfidence: estimated\nLast checked date: 2026-10-06\nNotes: CCN confirms Edinburgh\, Jul 26-29. Submission dates remain prior-edition timing estimates until the 2027 CFP is released.\nSc ope: Cognitive computational neuroscience\, connecting experiments and mo dels of brain computation with artificial intelligence. Characteristic wo rk compares biological and artificial representations\, models perception \, cognition and action\, studies neural connectivity and dynamics\, and uses mechanistic interpretability to understand neural-network models. Th e aim is understanding computation and behavior across brains and AI syst ems.\nAdditional topics: Cognitive Science & Computational Cognition\, Ex plainability & Interpretability\nScope sources (2027): https://2027.ccneu ro.org/\nScope last checked: 2026-10-07 URL:https://2026.ccneuro.org/dates-and-deadlines/ END:VEVENT BEGIN:VEVENT UID:3dv-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270406 DTEND;VALUE=DATE:20270410 SUMMARY:[Computer Vision & Pattern Recognition][Computer Graphics & Visuali zation] 3DV 2027 - Conference DESCRIPTION:Conference title: International Conference on 3D Vision\nWebsit e: https://3dvconf.github.io/2027/\nSource URL: https://3dvconf.github.io /2027/\nLocation: Thessaloniki\, Greece\nTopics: Computer Vision & Patter n Recognition\, Computer Graphics & Visualization\, Signal Processing\nSi ze: M\nSubmission type: Paper-based / OpenReview\nConfidence: confirmed\n Last checked date: 2026-10-07\nNotes: The official site confirms Thessalo niki and identical abstract/paper cutoffs at 23:59 AoE. Its archive docum ents recent annual editions. CCF has a direct 3DV entry\, but no direct I CORE2026 rank was found. M is an editorial size estimate\, not measured a ttendance.\nScope: Three-dimensional computer vision and graphics\, espec ially sensing\, geometric modeling and representations\, reconstruction\, analysis\, rendering\, and visualization. It is a focused venue for reco vering and understanding 3D structure rather than all of computer vision. Papers combine geometric\, imaging\, and computational methods\; unrelat ed applications and every possible ML technique are not added as separate scope tags.\nAdditional topics: \nScope sources (2027): https://3dvconf. github.io/2027/\, https://3dvconf.github.io/2027/author-guidelines/\nScop e last checked: 2026-10-07 URL:https://3dvconf.github.io/2027/ LOCATION:Thessaloniki\, Greece END:VEVENT BEGIN:VEVENT UID:nice-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270406 DTEND;VALUE=DATE:20270409 SUMMARY:[Neuromorphic & Brain-inspired Computing][Computational Neuroscienc e] NICE 2027 - Conference DESCRIPTION:Conference title: Neuro Inspired Computational Elements Confere nce\nWebsite: https://niceworkshop.org/nice-2027/\nSource URL: https://ni ceworkshop.org/nice-2027/\nLocation: Brighton\, United Kingdom\nTopics: N euromorphic & Brain-inspired Computing\, Computational Neuroscience\, Mac hine Learning\, BCI & Neurotechnology\nSize: M\nSubmission type: Research papers + late-breaking abstracts\nConfidence: confirmed\nLast checked da te: 2026-10-08\nNotes: Main conference April 6-8\; dedicated tutorials Ap ril 9. Accepted proceedings research papers are published through IEEE\; late-breaking abstracts are non-archival\, and some poster contributions may not enter the proceedings. Neither a scheduled opening nor a live sub mission portal has been verified. Size is an editorial estimate.\nScope: Neuromorphic and brain-inspired computing at the intersection of neurosci ence\, algorithms and hardware. Characteristic work includes spiking neur al networks\, learning in neural systems\, event-driven computation\, neu romorphic processors and embodied applications. Research papers and late- breaking abstracts are different contribution routes.\nAdditional topics: ML Systems & Infrastructure\, Deep Representation Learning\, Control & R obotics\nScope sources (2027): https://easychair.org/cfp/nice2027\nScope last checked: 2026-10-08 URL:https://niceworkshop.org/nice-2027/ LOCATION:Brighton\, United Kingdom END:VEVENT BEGIN:VEVENT UID:l4dc-2027-deadline-late-breaking@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270405 DTEND;VALUE=DATE:20270406 SUMMARY:[Machine Learning][Control & Robotics] L4DC 2027 - Late-breaking re sults (eligibility to be announced) (cutoff time unannounced) DESCRIPTION:Conference title: Learning for Dynamics and Control\nWebsite: h ttps://l4dc2027.control.ee.ethz.ch/home\nSource URL: https://l4dc2027.con trol.ee.ethz.ch/home\nLocation: Stockholm\, Sweden\nTopics: Machine Learn ing\, Control & Robotics\, System Identification & Data-driven Dynamics\, Reinforcement Learning\nSize: M\nSubmission type: Paper-based\nConfidenc e: confirmed\nLast checked date: 2026-10-06\nNotes: Annual conference at the ML/control interface\, hosted by KTH. Official days are published\; c utoff hours are unannounced and represented using estimated end-of-day Ao E timing. Late-breaking results are a separate presentation route\, not r egular proceedings papers. Size is an editorial scale category\, not a ve rified attendance count.\nScope: The interface of learning\, dynamics\, c ontrol\, and optimization for physical and dynamical systems. Emphasizes foundations and methods for data-driven control and dynamical modeling\, including theoretical\, empirical\, and applied contributions. Pure patte rn recognition without a meaningful connection to dynamics or control is not the defining focus.\nAdditional topics: Learning Theory & Statistical Foundations\nScope sources (2027): https://l4dc2027.control.ee.ethz.ch/h ome\nScope last checked: 2026-10-07\nOfficial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://l4dc2027.control.ee.ethz.ch/home END:VEVENT BEGIN:VEVENT UID:ijcb-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270410T115900Z DTEND:20270410T125900Z SUMMARY:[Biometrics & Human Sensing][Computer Vision & Pattern Recognition] IJCB 2027 - Full paper submission deadline DESCRIPTION:Conference title: IEEE/IAPR International Joint Conference on B iometrics\nWebsite: https://ijcb2027.ieee-biometrics.org/\nSource URL: ht tps://ijcb2027.ieee-biometrics.org/call-for-papers/\nLocation: Foz do Igu acu\, Brazil\nTopics: Biometrics & Human Sensing\, Computer Vision & Patt ern Recognition\, Deep Representation Learning\, Privacy-preserving ML\nS ize: M\nSubmission type: Paper-based / biometrics and identity science\nC onfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official 2027 CFP confirms Foz do Iguacu\, September 13-17\, March 15 submission openi ng\, and April 9 paper cutoff\; its date table specifies 23:59 AoE for al l dates. IJCB combines BTAS and ICB\; do not create duplicate rows or inh erit a distinct predecessor's rankings. M is an editorial estimate.\nScop e: Biometrics and identity science across face\, fingerprint\, iris\, voi ce\, gait\, and behavioral modalities. Defining concerns include recognit ion and verification\, multimodal fusion\, presentation-attack and deepfa ke detection\, biometric template security\, privacy\, demographic fairne ss\, and rigorous benchmarking. Learned representations and foundation mo dels are important methods\; federated learning belongs here through secu re biometric systems. Healthcare\, banking\, and robotics are application s\, not blanket scope tags.\nAdditional topics: Machine Learning\, Robust ness & Safety\, Fairness & Responsible AI\, Explainability & Interpretabi lity\, Federated & Distributed Learning\, Signal Processing\nScope source s (2027): https://ijcb2027.ieee-biometrics.org/call-for-papers/\nScope la st checked: 2026-10-07 URL:https://ijcb2027.ieee-biometrics.org/call-for-papers/ END:VEVENT BEGIN:VEVENT UID:gecco-2027-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270411T115900Z DTEND:20270411T125900Z SUMMARY:[Evolutionary Computation & Optimization][Machine Learning] GECCO 2 027 - Camera-ready deadline (estimated) DESCRIPTION:Conference title: Genetic and Evolutionary Computation Conferen ce\nWebsite: https://gecco-2027.sigevo.org/HomePage\nSource URL: https:// gecco-2026.sigevo.org/Important+Dates\nLocation: Krakow\, Poland\nTopics: Evolutionary Computation & Optimization\, Machine Learning\, Complex Sys tems & Network Science\nSize: L\nSubmission type: Paper-based / poster pa pers\nConfidence: estimated\nLast checked date: 2026-10-07\nNotes: Organi zer confirms Krakow\, Jul 12-16\, in person. The 2027 CFP still contains copied 2026 venue/deadline text\; do not treat it as a confirmed 2027 sub mission schedule. Deadlines use 2026 timing as an estimated annual proxy. Poster-only submissions are separate from the gated full-paper route. Si ze L is an editorial estimate\; no attendance count is asserted.\nScope: Genetic and evolutionary computation\, including genetic algorithms\, gen etic programming\, swarm intelligence\, evolutionary multiobjective and c ombinatorial optimization\, metaheuristics\, and neuroevolution. Machine learning is relevant through evolutionary learning and optimization\, not as an unrestricted substitute for the conference's evolutionary-computat ion focus.\nAdditional topics: Deep Representation Learning\, Learning Th eory & Statistical Foundations\nScope sources (2026): https://gecco-2027. sigevo.org/Call+for+Papers\nScope last checked: 2026-10-07 URL:https://gecco-2026.sigevo.org/Important+Dates END:VEVENT BEGIN:VEVENT UID:icmr-2027-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270411T115959Z DTEND:20270411T125959Z SUMMARY:[Multimedia Learning & Retrieval][Computer Vision & Pattern Recogni tion] ICMR 2027 - Camera-ready and author registration deadline DESCRIPTION:Conference title: ACM SIGMM International Conference on Multime dia Retrieval\nWebsite: https://www.icmr2027.org/\nSource URL: https://ww w.icmr2027.org/date\nLocation: Singapore\nTopics: Multimedia Learning & R etrieval\, Computer Vision & Pattern Recognition\, Machine Learning\, Dee p Representation Learning\nSize: M\nSubmission type: Full and short paper s / multimedia retrieval\nConfidence: confirmed\nLast checked date: 2026- 10-07\nNotes: Official dates explicitly use 23:59:59 AoE and confirm Sing apore\, June 7-10. Full/short and Brave New Ideas papers share January 31 \; separate reproducibility/demo dates are not generalized to unrestricte d main papers. The regular-paper submission portal is not yet announced. M is an editorial size estimate.\nScope: Search and retrieval of multimed ia and multimodal content. Characteristic work studies indexing\, content understanding\, query representations\, cross-modal matching\, relevance feedback\, recommendation\, and evaluation\, with deep learning and mult imodal models as important methods. Privacy-aware retrieval and knowledge discovery extend this core. The long applications list is not used to ch aracterize ICMR as a medicine\, finance\, or travel venue.\nAdditional to pics: Data Mining & Data Science\, Natural Language Processing & LLMs\, P rivacy-preserving ML\nScope sources (2027): https://www.icmr2027.org/cfc\ nScope last checked: 2026-10-07 URL:https://www.icmr2027.org/date END:VEVENT BEGIN:VEVENT UID:ecai-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270414 DTEND;VALUE=DATE:20270415 SUMMARY:[Machine Learning][Deep Representation Learning] ECAI 2027 - Full p aper submission deadline (cutoff time unannounced) DESCRIPTION:Conference title: European Conference on Artificial Intelligenc e\nWebsite: https://ecai2027.org/\nSource URL: https://ecai2027.org/\nLoc ation: Athens\, Greece\nTopics: Machine Learning\, Deep Representation Le arning\, Learning Theory & Statistical Foundations\, Fairness & Responsib le AI\nSize: XL\nSubmission type: Paper-based\nConfidence: confirmed\nLas t checked date: 2026-10-06\nNotes: Official ECAI 2027 site confirms Athen s\, Oct 2-7 (main conference Oct 4-7)\, and an Apr 14 full-paper submissi on date. The cutoff hour/time zone is not published\, so 23:59 AoE is an explicitly estimated placeholder.\nOfficial deadline day\; exact cutoff h our/timezone is unannounced. Verify the organizer's submission portal. URL:https://ecai2027.org/ END:VEVENT BEGIN:VEVENT UID:recsys-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270415T115900Z DTEND:20270415T125900Z SUMMARY:[Recommender Systems][Machine Learning] RecSys 2027 - Estimated mai n-track abstract deadline (estimated) DESCRIPTION:Conference title: ACM Conference on Recommender Systems\nWebsit e: https://recsys.acm.org/recsys27/\nSource URL: https://recsys.acm.org/r ecsys26/call/\nLocation: Honolulu\, Hawaii\, USA\nTopics: Recommender Sys tems\, Machine Learning\, Information Retrieval & Search\, Human-AI Inter action & Deployment\nSize: L\nSubmission type: Paper-based\nConfidence: e stimated\nLast checked date: 2026-10-07\nNotes: 2027 Hawaii meeting is co nfirmed. Main-track deadlines are one-year proxies from 2026\; long and s hort papers shared the same abstract gate in that edition. Do not infer a special twentieth-anniversary track for 2027. Size is an editorial estim ate.\nScope: Recommendation and personalization: user-item modeling\, col laborative and content-based methods\, sequential and conversational reco mmendation\, evaluation\, and deployed recommendation systems. Human and economic impacts matter alongside algorithms. Sequential data is relevant specifically through recommendation behavior\; this is not a general for ecasting conference.\nAdditional topics: Time Series & Sequential Data\, Natural Language Processing & LLMs\, Fairness & Responsible AI\, Explaina bility & Interpretability\nScope sources (2026): https://recsys.acm.org/r ecsys26/call/\nScope last checked: 2026-10-07 URL:https://recsys.acm.org/recsys26/call/ END:VEVENT BEGIN:VEVENT UID:ijcb-2027-deadline-supplementary@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270417T115900Z DTEND:20270417T125900Z SUMMARY:[Biometrics & Human Sensing][Computer Vision & Pattern Recognition] IJCB 2027 - Supplementary material deadline DESCRIPTION:Conference title: IEEE/IAPR International Joint Conference on B iometrics\nWebsite: https://ijcb2027.ieee-biometrics.org/\nSource URL: ht tps://ijcb2027.ieee-biometrics.org/call-for-papers/\nLocation: Foz do Igu acu\, Brazil\nTopics: Biometrics & Human Sensing\, Computer Vision & Patt ern Recognition\, Deep Representation Learning\, Privacy-preserving ML\nS ize: M\nSubmission type: Paper-based / biometrics and identity science\nC onfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official 2027 CFP confirms Foz do Iguacu\, September 13-17\, March 15 submission openi ng\, and April 9 paper cutoff\; its date table specifies 23:59 AoE for al l dates. IJCB combines BTAS and ICB\; do not create duplicate rows or inh erit a distinct predecessor's rankings. M is an editorial estimate.\nScop e: Biometrics and identity science across face\, fingerprint\, iris\, voi ce\, gait\, and behavioral modalities. Defining concerns include recognit ion and verification\, multimodal fusion\, presentation-attack and deepfa ke detection\, biometric template security\, privacy\, demographic fairne ss\, and rigorous benchmarking. Learned representations and foundation mo dels are important methods\; federated learning belongs here through secu re biometric systems. Healthcare\, banking\, and robotics are application s\, not blanket scope tags.\nAdditional topics: Machine Learning\, Robust ness & Safety\, Fairness & Responsible AI\, Explainability & Interpretabi lity\, Federated & Distributed Learning\, Signal Processing\nScope source s (2027): https://ijcb2027.ieee-biometrics.org/call-for-papers/\nScope la st checked: 2026-10-07 URL:https://ijcb2027.ieee-biometrics.org/call-for-papers/ END:VEVENT BEGIN:VEVENT UID:rss-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270417T115900Z DTEND:20270417T125900Z SUMMARY:[Control & Robotics][Reinforcement Learning] RSS 2027 - Stage 2 fin al paper deadline (invited authors only) DESCRIPTION:Conference title: Robotics: Science and Systems\nWebsite: https ://roboticsconference.org/\nSource URL: https://roboticsconference.org/in formation/cfp/\nLocation: Athens\, Greece\nTopics: Control & Robotics\, R einforcement Learning\, System Identification & Data-driven Dynamics\, Co mputer Vision & Pattern Recognition\nSize: M\nSubmission type: Paper-base d\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: New two-s tage 2027 process requires a six-page initial submission by December 4\, 2026. Only authors invited after review may submit the April final paper\ ; it is not a fresh-paper route after stage 1 closes. Size is an editoria l estimate.\nScope: Focused robotics research linking perception\, learni ng\, planning\, control\, manipulation\, and robot-system science. Reinfo rcement and imitation learning\, model-based behavior\, and reliable auto nomous systems are characteristic intersections. The 2027 review process emphasizes a scientifically developed robotic hypothesis through gated in itial and invited final submissions.\nAdditional topics: Planning & Searc h\, Deep Representation Learning\, Probabilistic\, Causal & Uncertainty M L\, Robustness & Safety\nScope sources (2027): https://roboticsconference .org/information/cfp/\nScope last checked: 2026-10-07 URL:https://roboticsconference.org/information/cfp/ END:VEVENT BEGIN:VEVENT UID:mlhc-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270418T115900Z DTEND:20270418T125900Z SUMMARY:[Healthcare & Clinical AI][Machine Learning] MLHC 2027 - Full submi ssion deadline (estimated) DESCRIPTION:Conference title: Machine Learning for Healthcare Conference\nW ebsite: https://mlhc.org/\nSource URL: https://mlhc.org/\nLocation: Zuric h\, Switzerland\nTopics: Healthcare & Clinical AI\, Machine Learning\, Ti me Series & Sequential Data\, Explainability & Interpretability\nSize: M\ nSubmission type: Paper-based\nConfidence: estimated\nLast checked date: 2026-10-06\nNotes: MLHC confirms Aug 11-13 at ETH Zurich. Submission date remains a 2026 timing proxy until organizers publish the 2027 call. URL:https://mlhc.org/ END:VEVENT BEGIN:VEVENT UID:l4dc-2027-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270419 DTEND;VALUE=DATE:20270420 SUMMARY:[Machine Learning][Control & Robotics] L4DC 2027 - Camera-ready dea dline (cutoff time unannounced) DESCRIPTION:Conference title: Learning for Dynamics and Control\nWebsite: h ttps://l4dc2027.control.ee.ethz.ch/home\nSource URL: https://l4dc2027.con trol.ee.ethz.ch/home\nLocation: Stockholm\, Sweden\nTopics: Machine Learn ing\, Control & Robotics\, System Identification & Data-driven Dynamics\, Reinforcement Learning\nSize: M\nSubmission type: Paper-based\nConfidenc e: confirmed\nLast checked date: 2026-10-06\nNotes: Annual conference at the ML/control interface\, hosted by KTH. Official days are published\; c utoff hours are unannounced and represented using estimated end-of-day Ao E timing. Late-breaking results are a separate presentation route\, not r egular proceedings papers. Size is an editorial scale category\, not a ve rified attendance count.\nScope: The interface of learning\, dynamics\, c ontrol\, and optimization for physical and dynamical systems. Emphasizes foundations and methods for data-driven control and dynamical modeling\, including theoretical\, empirical\, and applied contributions. Pure patte rn recognition without a meaningful connection to dynamics or control is not the defining focus.\nAdditional topics: Learning Theory & Statistical Foundations\nScope sources (2027): https://l4dc2027.control.ee.ethz.ch/h ome\nScope last checked: 2026-10-07\nOfficial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://l4dc2027.control.ee.ethz.ch/home END:VEVENT BEGIN:VEVENT UID:esann-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270421 DTEND;VALUE=DATE:20270424 SUMMARY:[Machine Learning][Deep Representation Learning] ESANN 2027 - Confe rence DESCRIPTION:Conference title: European Symposium on Artificial Neural Netwo rks\, Computational Intelligence and Machine Learning\nWebsite: https://w ww.esann.org/\nSource URL: https://www.esann.org/\nLocation: Bruges\, Bel gium\nTopics: Machine Learning\, Deep Representation Learning\, Learning Theory & Statistical Foundations\, Signal Processing\nSize: M\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-08-31\ nNotes: Official ESANN 2027 pages confirm Bruges\, Apr 21-23\, 2027\, and the Nov 18\, 2026 submission deadline. URL:https://www.esann.org/ LOCATION:Bruges\, Belgium END:VEVENT BEGIN:VEVENT UID:ida-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270421 DTEND;VALUE=DATE:20270424 SUMMARY:[Data Mining & Data Science][Machine Learning] IDA 2027 - Conferenc e (estimated) DESCRIPTION:Conference title: International Symposium on Intelligent Data A nalysis\nWebsite: https://www.ida-society.org/\nSource URL: https://www.i da-society.org/\nLocation: Pisa\, Italy\nTopics: Data Mining & Data Scien ce\, Machine Learning\, Probabilistic\, Causal & Uncertainty ML\, Time Se ries & Sequential Data\nSize: M\nSubmission type: Paper-based / interdisc iplinary\nConfidence: estimated\nLast checked date: 2026-10-06\nNotes: Th e official IDA Society site confirms Pisa\, Italy\, in April 2027\, but d oes not yet give exact days or a CFP. Apr 21-23 is a provisional calendar placeholder. Submission dates are estimates preserving the 2026 CFP lead time and weekday\; verify against the 2027 CFP. URL:https://www.ida-society.org/ LOCATION:Pisa\, Italy END:VEVENT BEGIN:VEVENT UID:ccs-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270421T115900Z DTEND:20270421T125900Z SUMMARY:[Complex Systems & Network Science][Nonlinear Dynamics & Chaos] CCS 2027 - Presentation abstracts (estimated) DESCRIPTION:Conference title: Conference on Complex Systems\nWebsite: https ://cssociety.org/ccs/\nSource URL: https://ccs26.cssociety.org/\nLocation : Wroclaw\, Poland\nTopics: Complex Systems & Network Science\, Nonlinear Dynamics & Chaos\, Data Mining & Data Science\nSize: L\nSubmission type: Abstract-based\nConfidence: estimated\nLast checked date: 2026-10-06\nNo tes: Society announces Wroclaw and September 17-24\; detailed main/satell ite split is not yet available. Abstract deadline is estimated from the 2 026 main-meeting lead time\, not officially announced. Distinct from ACM CCS\; no inherited security-conference rank. Size is an editorial categor y. URL:https://ccs26.cssociety.org/ END:VEVENT BEGIN:VEVENT UID:recsys-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270422T115900Z DTEND:20270422T125900Z SUMMARY:[Recommender Systems][Machine Learning] RecSys 2027 - Estimated mai n-track paper deadline (estimated) DESCRIPTION:Conference title: ACM Conference on Recommender Systems\nWebsit e: https://recsys.acm.org/recsys27/\nSource URL: https://recsys.acm.org/r ecsys26/call/\nLocation: Honolulu\, Hawaii\, USA\nTopics: Recommender Sys tems\, Machine Learning\, Information Retrieval & Search\, Human-AI Inter action & Deployment\nSize: L\nSubmission type: Paper-based\nConfidence: e stimated\nLast checked date: 2026-10-07\nNotes: 2027 Hawaii meeting is co nfirmed. Main-track deadlines are one-year proxies from 2026\; long and s hort papers shared the same abstract gate in that edition. Do not infer a special twentieth-anniversary track for 2027. Size is an editorial estim ate.\nScope: Recommendation and personalization: user-item modeling\, col laborative and content-based methods\, sequential and conversational reco mmendation\, evaluation\, and deployed recommendation systems. Human and economic impacts matter alongside algorithms. Sequential data is relevant specifically through recommendation behavior\; this is not a general for ecasting conference.\nAdditional topics: Time Series & Sequential Data\, Natural Language Processing & LLMs\, Fairness & Responsible AI\, Explaina bility & Interpretability\nScope sources (2026): https://recsys.acm.org/r ecsys26/call/\nScope last checked: 2026-10-07 URL:https://recsys.acm.org/recsys26/call/ END:VEVENT BEGIN:VEVENT UID:ieee-embc-2027-deadline-poster@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270423 DTEND;VALUE=DATE:20270424 SUMMARY:[Healthcare & Clinical AI][Signal Processing] IEEE EMBC 2027 - 1-pa ge poster submission deadline (cutoff time unannounced) DESCRIPTION:Conference title: IEEE Engineering in Medicine and Biology Conf erence\nWebsite: https://embc.embs.org/2027/\nSource URL: https://embc.em bs.org/2027/important-dates/\nLocation: Singapore\nTopics: Healthcare & C linical AI\, Signal Processing\, EEG/MEG & Neural Signals\, BCI & Neurote chnology\nSize: XL\nSubmission type: Paper-based / broad applied venue\nC onfidence: confirmed\nLast checked date: 2026-10-06\nNotes: Organizer con firms Singapore\, Jul 11-15\, and Jan 24 full-paper/Apr 23 poster deadlin es. Cutoff hour/timezone is not specified\; 23:59 AoE is a provisional or dering time\; the official deadline days are confirmed.\nOfficial deadlin e day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://embc.embs.org/2027/important-dates/ END:VEVENT BEGIN:VEVENT UID:fg-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270426 DTEND;VALUE=DATE:20270501 SUMMARY:[Biometrics & Human Sensing][Computer Vision & Pattern Recognition] FG 2027 - Conference DESCRIPTION:Conference title: IEEE International Conference on Automatic Fa ce and Gesture Recognition\nWebsite: https://fg2027.ieee-biometrics.org/\ nSource URL: https://fg2027.ieee-biometrics.org/dates/\nLocation: Marrake sh\, Morocco\nTopics: Biometrics & Human Sensing\, Computer Vision & Patt ern Recognition\, Deep Representation Learning\, Machine Learning\nSize: M\nSubmission type: Long and short papers / face\, gesture\, and body rec ognition\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Of ficial CFP and dates page updated October 5 extend the abstract and paper deadlines to October 23 and 30\, replacing October 9 and 16. Cutoffs are AoE. Full event includes April 26/30 workshops\; main sessions are April 27-29. CMT opening is announced for September 25 without an exact hour\; no portal-open observation is fabricated. M is an editorial estimate.\nS cope: Face\, gesture\, body movement\, and human behavior from images and video\, including detection\, tracking\, recognition\, facial expression and affect\, pose and action analysis\, and soft biometrics. Characteris tic methods include advanced visual learning\, generative modeling and ne ural rendering\, multimodal fusion\, and evaluation across demographic an d acquisition conditions. Bias\, interpretability\, and robust recognitio n are directly tied to human sensing rather than generic application tags .\nAdditional topics: Robustness & Safety\, Fairness & Responsible AI\, C omputer Graphics & Visualization\, Explainability & Interpretability\nSco pe sources (2027): https://fg2027.ieee-biometrics.org/call-for-papers/\nS cope last checked: 2026-10-07 URL:https://fg2027.ieee-biometrics.org/dates/ LOCATION:Marrakesh\, Morocco END:VEVENT BEGIN:VEVENT UID:iclr-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270426 DTEND;VALUE=DATE:20270501 SUMMARY:[Deep Representation Learning][Machine Learning] ICLR 2027 - Confer ence DESCRIPTION:Conference title: International Conference on Learning Represen tations\nWebsite: https://iclr.cc/Conferences/2027\nSource URL: https://i clr.cc/Conferences/2027\nLocation: San Francisco\, California\, USA\nTopi cs: Deep Representation Learning\, Machine Learning\, Explainability & In terpretability\, Robustness & Safety\nSize: XXL\nSubmission type: Paper-b ased / OpenReview\nConfidence: confirmed\nLast checked date: 2026-08-20\n Notes: Official ICLR 2027 and OpenReview pages list San Francisco\, Apr 2 6-30\, 2027\, and the abstract/paper deadlines.\nScope: Learning represen tations and understanding deep learning\, with an emphasis on self-superv ised learning\, generative models\, transfer and meta-learning\, and the optimization and theory of learned representations. Language\, vision\, p robabilistic modeling\, and reinforcement learning are substantial areas\ , rather than unrelated application-domain tags.\nAdditional topics: Lear ning Theory & Statistical Foundations\, Probabilistic\, Causal & Uncertai nty ML\, Reinforcement Learning\, Natural Language Processing & LLMs\, Co mputer Vision & Pattern Recognition\, ML Systems & Infrastructure\nScope sources (2027): https://iclr.cc/Conferences/2027/CallForPapers\nScope las t checked: 2026-10-07 URL:https://iclr.cc/Conferences/2027 LOCATION:San Francisco\, California\, USA END:VEVENT BEGIN:VEVENT UID:dynamics-days-europe-2027-deadline-abstract@scientific-conference-calen dar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270427 DTEND;VALUE=DATE:20270428 SUMMARY:[Nonlinear Dynamics & Chaos][Complex Systems & Network Science] Dyn amics Days Europe 2027 - Estimated contributed talk/poster abstract submi ssion deadline (estimated) (cutoff time unannounced) DESCRIPTION:Conference title: Dynamics Days Europe\nWebsite: https://www.dy namicsdays.org/\nSource URL: https://dde-2026.sci-meet.net/important-date s\nLocation: To be announced\nTopics: Nonlinear Dynamics & Chaos\, Comple x Systems & Network Science\, Time Series & Sequential Data\, System Iden tification & Data-driven Dynamics\nSize: L\nSubmission type: Abstract-bas ed\nConfidence: estimated\nLast checked date: 2026-10-08\nNotes: Unannoun ced next annual edition. Meeting dates and the contributed abstract deadl ine are one-year proxies from 2026\, with no assumed host location. Size is an editorial estimate.\nScope: Theory and applications of nonlinear dy namics: chaos\, bifurcations\, synchronization\, pattern formation\, comp lex networks\, stochastic dynamics and time-series analysis. ML and neuro dynamics are characteristic interdisciplinary extensions. Contributed tal ks and posters use abstracts\, while minisymposium proposals are organize r activity.\nAdditional topics: Machine Learning\, Computational Neurosci ence\, Control & Robotics\, Graphs & Graph Learning\nScope sources (2026) : https://dde-2026.sci-meet.net/abstract-submission-2\nScope last checked : 2026-10-08\nOfficial deadline day\; exact cutoff hour/timezone is unann ounced. Verify the organizer's submission portal. URL:https://dde-2026.sci-meet.net/important-dates END:VEVENT BEGIN:VEVENT UID:ieee-cdc-2027-deadline-workshop@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270430 DTEND;VALUE=DATE:20270501 SUMMARY:[Control & Robotics][System Identification & Data-driven Dynamics] IEEE CDC 2027 - Workshop proposals (cutoff time unannounced) DESCRIPTION:Conference title: IEEE Conference on Decision and Control\nWebs ite: https://cdc2027.ieeecss.org/\nSource URL: https://cdc2027.ieeecss.or g/authors/call-for-papers\nLocation: Lisbon\, Portugal\nTopics: Control & Robotics\, System Identification & Data-driven Dynamics\, Nonlinear Dyna mics & Chaos\, Reinforcement Learning\nSize: XL\nSubmission type: Paper-b ased\nConfidence: confirmed\nLast checked date: 2026-10-06\nNotes: Offici al future edition in Lisbon\; main meeting excludes December 13 workshops . Deadline days and opening day published\; exact cutoff hours use estima ted end-of-day AoE. Size is an editorial category.\nOfficial deadline day \; exact cutoff hour/timezone is unannounced. Verify the organizer's subm ission portal. URL:https://cdc2027.ieeecss.org/authors/call-for-papers END:VEVENT BEGIN:VEVENT UID:sigir-2027-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270430 DTEND;VALUE=DATE:20270501 SUMMARY:[Information Retrieval & Search][Recommender Systems] SIGIR 2027 - Proposed camera-ready deadline (estimated) (cutoff time unannounced) DESCRIPTION:Conference title: ACM International Conference on Research and Development in Information Retrieval\nWebsite: https://sigir2027.org/\nSo urce URL: https://sigir2027.org/pages/submit-full.html\nLocation: San Jos e\, California\, USA\nTopics: Information Retrieval & Search\, Recommende r Systems\, Natural Language Processing & LLMs\, Machine Learning\nSize: XL\nSubmission type: Paper-based\nConfidence: estimated\nLast checked dat e: 2026-10-07\nNotes: Homepage confirms July 18-24 conference week (title says July 19-24). CFP explicitly labels the deadline table PROPOSED\; re tain estimated deadlines rather than presenting these as finalized cutoff s. Mandatory abstract gate. Size is an editorial estimate.\nScope: Inform ation access\, search and ranking\, query and content understanding\, rec ommendation\, conversational and multimodal retrieval\, and evaluation of retrieval systems. Learning and language models are relevant through an information-retrieval contribution\, including retrieval-augmented genera tion. The 2027 detailed track pages contain organizer placeholders\; scop e should be rechecked when finalized.\nAdditional topics: Multimedia Lear ning & Retrieval\, Human-AI Interaction & Deployment\, Fairness & Respons ible AI\, ML Systems & Infrastructure\nScope sources (2027): https://sigi r2027.org/pages/submit-full.html\nScope last checked: 2026-10-07\nOfficia l deadline day\; exact cutoff hour/timezone is unannounced. Verify the or ganizer's submission portal. URL:https://sigir2027.org/pages/submit-full.html END:VEVENT BEGIN:VEVENT UID:aamas-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270503 DTEND;VALUE=DATE:20270508 SUMMARY:[Machine Learning][Reinforcement Learning] AAMAS 2027 - Conference DESCRIPTION:Conference title: International Conference on Autonomous Agents and Multiagent Systems\nWebsite: https://warwick.ac.uk/fac/sci/dcs/aamas 2027/\nSource URL: https://warwick.ac.uk/fac/sci/dcs/aamas2027/\nLocation : Hanoi\, Vietnam\nTopics: Machine Learning\, Reinforcement Learning\, Au tonomous Agents & Multiagent Systems\, Human-AI Interaction & Deployment\ nSize: XL\nSubmission type: Paper-based / Blue Sky Ideas short papers\nCo nfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Annual flagshi p meeting in Hanoi. New main-track submissions are closed because the Oct 1 abstract gate has passed\, even before the Oct 8 paper cutoff. The sep arate four-page Blue Sky Ideas track remains a forthcoming opportunity\; author registration is announced for Oct 20 but no exact opening hour is given. Its Nov 5 gate only controls its Nov 12 short papers. AAAI fast-tr ack and already published JAAMAS presentations are not general new-paper routes. Size XL is an editorial estimate. Historical acceptance covers ma in full papers only\, not Blue Sky Ideas or the newly introduced 2027 Fin dings track.\nScope: Autonomous agents and multi-agent systems: learning and adaptation\, coordination\, game theory\, planning\, reasoning\, agen t engineering\, and agent-based simulation. Also covers human-agent inter action\, robot teams\, norms and governance\, and generative agents. The contribution should concern agents or their interaction\; generic languag e-model or learning results are not automatically in scope.\nAdditional t opics: Deep Representation Learning\, Probabilistic\, Causal & Uncertaint y ML\, Control & Robotics\, Complex Systems & Network Science\, Ethics & Governance\, Explainability & Interpretability\nScope sources (2027): htt ps://warwick.ac.uk/fac/sci/dcs/aamas2027/calls/call-for-main-track/\nScop e last checked: 2026-10-07 URL:https://warwick.ac.uk/fac/sci/dcs/aamas2027/ LOCATION:Hanoi\, Vietnam END:VEVENT BEGIN:VEVENT UID:aistats-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270503 DTEND;VALUE=DATE:20270507 SUMMARY:[Learning Theory & Statistical Foundations][Machine Learning] AISTA TS 2027 - Conference DESCRIPTION:Conference title: International Conference on Artificial Intell igence and Statistics\nWebsite: https://aistats.org/aistats2027/index.htm l\nSource URL: https://aistats.org/aistats2027/index.html\nLocation: Mont real\, Quebec\, Canada\nTopics: Learning Theory & Statistical Foundations \, Machine Learning\, Probabilistic\, Causal & Uncertainty ML\, Time Seri es & Sequential Data\nSize: L\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-09-14\nNotes: Official AISTATS 2027 pa ges confirm Montreal\, May 3-6\, 2027\, and the Sep 29 abstract and Oct 6 full-paper deadlines (AoE).\nScope: Research at the interface of artific ial intelligence\, machine learning\, and statistics. Its defining emphas is is on statistical foundations and methodology for learning and inferen ce\, rather than a particular application domain. Research bridges statis tical reasoning and learning algorithms\, with archival contributions to both communities.\nAdditional topics: \nScope sources (2027): https://ais tats.org/aistats2027/\, https://aistats.org/aistats2027/call-for-papers.h tml\nScope last checked: 2026-10-07 URL:https://aistats.org/aistats2027/index.html LOCATION:Montreal\, Quebec\, Canada END:VEVENT BEGIN:VEVENT UID:aime-2027-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270503T115900Z DTEND:20270503T125900Z SUMMARY:[Healthcare & Clinical AI][Machine Learning] AIME 2027 - Camera-rea dy submission deadline DESCRIPTION:Conference title: International Conference on Artificial Intell igence in Medicine\nWebsite: https://aime27.aimedicine.info/\nSource URL: https://aime27.aimedicine.info/call-for-papers/\nLocation: Amsterdam\, N etherlands\nTopics: Healthcare & Clinical AI\, Machine Learning\, Biomedi cal Imaging\, Probabilistic\, Causal & Uncertainty ML\nSize: M\nSubmissio n type: Paper-based / clinical AI\nConfidence: confirmed\nLast checked da te: 2026-10-05\nNotes: Official AIME 2027 pages confirm Amsterdam\, Jul 5 -8 (main conference Jul 6-7)\, and the abstract\, paper\, and camera-read y dates\, all AoE. URL:https://aime27.aimedicine.info/call-for-papers/ END:VEVENT BEGIN:VEVENT UID:iswc-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270503T115900Z DTEND:20270503T125900Z SUMMARY:[Knowledge Representation & Reasoning][Graphs & Graph Learning] ISW C 2027 - Estimated mandatory abstract deadline (estimated) DESCRIPTION:Conference title: International Semantic Web Conference\nWebsit e: https://swsa.semanticweb.org/conferences/\nSource URL: https://iswc202 6.semanticweb.org/importantdates\nLocation: To be announced\nTopics: Know ledge Representation & Reasoning\, Graphs & Graph Learning\, Data Mining & Data Science\, Information Retrieval & Search\nSize: M\nSubmission type : Paper-based\nConfidence: estimated\nLast checked date: 2026-10-07\nNote s: SWSA confirms an annual 2027 edition in October/November but not exact dates or location. October 25-29 and submission cutoffs are one-year pro xies from 2026. Size is an editorial estimate.\nScope: Semantic Web and l inked-data research: ontologies\, knowledge graphs\, representation and r easoning\, semantic integration\, querying\, and knowledge-supported AI. Graph learning is relevant through semantic data and knowledge structures \; this is not the IEEE wearable-computing symposium with the same acrony m.\nAdditional topics: Machine Learning\, Explainability & Interpretabili ty\nScope sources (2026): https://iswc2026.semanticweb.org/calls/research \nScope last checked: 2026-10-07 URL:https://iswc2026.semanticweb.org/importantdates END:VEVENT BEGIN:VEVENT UID:satml-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270504 DTEND;VALUE=DATE:20270507 SUMMARY:[Robustness & Safety][Privacy-preserving ML] SaTML 2027 - Conferenc e DESCRIPTION:Conference title: IEEE Conference on Secure and Trustworthy Mac hine Learning\nWebsite: https://satml.org/\nSource URL: https://satml.org /\nLocation: Reykjavik\, Iceland\nTopics: Robustness & Safety\, Privacy-p reserving ML\, Fairness & Responsible AI\, Explainability & Interpretabil ity\nSize: M\nSubmission type: Paper-based / systematization of knowledge / position papers\nConfidence: confirmed\nLast checked date: 2026-10-07\ nNotes: Fifth annual edition. Main meeting May 4-6\; workshops May 3. The mandatory registration and new-paper deadlines have passed. Revisions ar e restricted to existing submissions and do not reopen new-paper opportun ities. Camera-ready is only announced as mid-February\, exact date TBC\, so no exact camera-ready event is invented. Size M is an editorial estima te.\nScope: Security\, safety\, and trustworthiness of machine learning. Characteristic work studies attacks and defenses\, privacy\, verification \, ML-system security\, fairness\, interpretability\, and trustworthy dat a curation. Theoretical\, empirical\, and applied papers must engage subs tantively with a safety or trustworthiness question\; merely using an ML model is insufficient.\nAdditional topics: Machine Learning\, ML Systems & Infrastructure\nScope sources (2027): https://satml.org/call-for-papers /\nScope last checked: 2026-10-07 URL:https://satml.org/ LOCATION:Reykjavik\, Iceland END:VEVENT BEGIN:VEVENT UID:smc-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270503 DTEND;VALUE=DATE:20270504 SUMMARY:[Control & Robotics][Complex Systems & Network Science] SMC 2027 - Estimated regular paper submission deadline (estimated) (cutoff time unan nounced) DESCRIPTION:Conference title: IEEE International Conference on Systems\, Ma n\, and Cybernetics\nWebsite: https://www.ieeesmc.org/conferences/calenda r/\nSource URL: https://www.ieeesmc2026.org/Important-Dates\nLocation: Ho Chi Minh City\, Vietnam\nTopics: Control & Robotics\, Complex Systems & Network Science\, Machine Learning\, Human-AI Interaction & Deployment\nS ize: L\nSubmission type: Paper-based\nConfidence: estimated\nLast checked date: 2026-10-07\nNotes: Society confirms the 2027 host city. October 7- 10 appears only in the hosting proposal\, so remains provisional\; deadli nes are one-year proxies from 2026. Do not present proposal dates or unan nounced cutoff hours as confirmed. Size is an editorial estimate.\nScope: Systems science\, cybernetics\, and human-machine systems. Characteristi c ML-facing work includes intelligent and learning-based control\, autono mous systems\, adaptive decision-making\, and human-AI interaction\; brai n-machine interfaces and cognitive systems are meaningful extensions. Its interdisciplinary remit is curated without tagging every industrial appl ication as a core specialty.\nAdditional topics: Reinforcement Learning\, System Identification & Data-driven Dynamics\, BCI & Neurotechnology\, C ognitive Science & Computational Cognition\nScope sources (2026): https:/ /www.ieeesmc2026.org/call-for-papers\nScope last checked: 2026-10-07\nOff icial deadline day\; exact cutoff hour/timezone is unannounced. Verify th e organizer's submission portal. URL:https://www.ieeesmc2026.org/Important-Dates END:VEVENT BEGIN:VEVENT UID:colt-2027-deadline-workshop@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270507T115900Z DTEND:20270507T125900Z SUMMARY:[Learning Theory & Statistical Foundations][Machine Learning] COLT 2027 - Workshop/tutorial/community proposal deadline (estimated) DESCRIPTION:Conference title: Conference on Learning Theory\nWebsite: https ://learningtheory.org/colt2027/\nSource URL: https://learningtheory.org/c olt2027/\nLocation: Tokyo\, Japan\nTopics: Learning Theory & Statistical Foundations\, Machine Learning\nSize: M\nSubmission type: Paper-based / t heory-focused\nConfidence: estimated\nLast checked date: 2026-10-05\nNote s: Official COLT 2027 page confirms Tokyo and Jun 28-Jul 2\, 2027\; submi ssion milestones remain estimates until the current CFP publishes them.\n Scope: Theoretical foundations of learning at the intersection of compute r science\, statistics\, and applied mathematics. Characteristic work stu dies learnability\, sample and computational complexity\, online learning \, optimization\, bandits\, and generalization. Neural-network\, causal\, reinforcement-learning\, privacy\, and fairness papers belong here when the theoretical contribution is central.\nAdditional topics: Deep Represe ntation Learning\, Probabilistic\, Causal & Uncertainty ML\, Reinforcemen t Learning\, Privacy-preserving ML\, Fairness & Responsible AI\nScope sou rces (2026): https://learningtheory.org/colt2026/cfp.html\nScope last che cked: 2026-10-07 URL:https://learningtheory.org/colt2027/ END:VEVENT BEGIN:VEVENT UID:ieee-biocas-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270507 DTEND;VALUE=DATE:20270508 SUMMARY:[Healthcare & Clinical AI][BCI & Neurotechnology] IEEE BioCAS 2027 - Abstract submission deadline (IEEE society calendar) (cutoff time unann ounced) DESCRIPTION:Conference title: IEEE Biomedical Circuits and Systems Conferen ce\nWebsite: https://2027.ieee-biocas.org/\nSource URL: https://sscs.ieee .org/conferences/upcoming-conferences/\nLocation: Oslo\, Norway\nTopics: Healthcare & Clinical AI\, BCI & Neurotechnology\, Signal Processing\, Ne uromorphic & Brain-inspired Computing\nSize: M\nSubmission type: Paper-ba sed\nConfidence: confirmed\nLast checked date: 2026-10-08\nNotes: Officia l 2027 host confirms Oslo and October 14-16. IEEE SSCS lists May 7 as Abs tract Submission Date\; it is retained with that exact action\, not relab eled as a paper deadline or made a mandatory paper gate. The final 2027 C FP\, full-paper deadline and cutoff hour still require review. Size is an editorial estimate.\nScope: Biomedical circuits\, integrated systems and medical devices spanning biosignal acquisition and processing\, neural i nterfaces\, implants\, bioelectronics and low-power or on-device biomedic al computation. Brain-inspired hardware and machine learning are relevant when tied to biomedical engineering\, rather than as generic algorithms. \nAdditional topics: EEG/MEG & Neural Signals\, Machine Learning\, ML Sys tems & Infrastructure\nScope sources (2026): https://2026.ieee-biocas.org /2026/pages_submission/call_for_papers.vm\, https://2027.ieee-biocas.org/ \nScope last checked: 2026-10-08\nOfficial deadline day\; exact cutoff ho ur/timezone is unannounced. Verify the organizer's submission portal. URL:https://sscs.ieee.org/conferences/upcoming-conferences/ END:VEVENT BEGIN:VEVENT UID:iswc-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270508T115900Z DTEND:20270508T125900Z SUMMARY:[Knowledge Representation & Reasoning][Graphs & Graph Learning] ISW C 2027 - Estimated paper submission deadline (estimated) DESCRIPTION:Conference title: International Semantic Web Conference\nWebsit e: https://swsa.semanticweb.org/conferences/\nSource URL: https://iswc202 6.semanticweb.org/importantdates\nLocation: To be announced\nTopics: Know ledge Representation & Reasoning\, Graphs & Graph Learning\, Data Mining & Data Science\, Information Retrieval & Search\nSize: M\nSubmission type : Paper-based\nConfidence: estimated\nLast checked date: 2026-10-07\nNote s: SWSA confirms an annual 2027 edition in October/November but not exact dates or location. October 25-29 and submission cutoffs are one-year pro xies from 2026. Size is an editorial estimate.\nScope: Semantic Web and l inked-data research: ontologies\, knowledge graphs\, representation and r easoning\, semantic integration\, querying\, and knowledge-supported AI. Graph learning is relevant through semantic data and knowledge structures \; this is not the IEEE wearable-computing symposium with the same acrony m.\nAdditional topics: Machine Learning\, Explainability & Interpretabili ty\nScope sources (2026): https://iswc2026.semanticweb.org/calls/research \nScope last checked: 2026-10-07 URL:https://iswc2026.semanticweb.org/importantdates END:VEVENT BEGIN:VEVENT UID:coling-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270509 DTEND;VALUE=DATE:20270515 SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] COLING 2027 - Conference DESCRIPTION:Conference title: International Conference on Computational Lin guistics\nWebsite: https://2027.coling-iccl.org/\nSource URL: https://202 7.coling-iccl.org/\nLocation: Macau\, China\nTopics: Natural Language Pro cessing & LLMs\, Deep Representation Learning\, Knowledge Representation & Reasoning\, LLM Agents & Tool Use\nSize: XL\nSubmission type: Paper-bas ed\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Main in- person window May 9-14\; separate virtual sessions May 6-7. Shared ARR cy cle with NAACL does not permit dual commitment. Recent COLING cadence is irregular\; no automatic annual forecast. Size is an editorial estimate.\ nScope: Computational linguistics and language processing spanning lingui stic theory\, multilinguality\, semantics and structured prediction\, lan guage models\, dialogue\, and empirical evaluation. Agentic language syst ems and knowledge-grounded NLP are relevant\; the defining contribution s hould concern language\, not a peripheral application domain.\nAdditional topics: Information Retrieval & Search\, Cognitive Science & Computation al Cognition\, Explainability & Interpretability\, Fairness & Responsible AI\nScope sources (2027): https://2027.coling-iccl.org/calls/main_confer ence_papers/\nScope last checked: 2026-10-07 URL:https://2027.coling-iccl.org/ LOCATION:Macau\, China END:VEVENT BEGIN:VEVENT UID:chi-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270510 DTEND;VALUE=DATE:20270515 SUMMARY:[Human-AI Interaction & Deployment][Explainability & Interpretabili ty] CHI 2027 - Conference DESCRIPTION:Conference title: ACM CHI Conference on Human Factors in Comput ing Systems\nWebsite: https://chi2027.acm.org/\nSource URL: https://chi20 27.acm.org/\nLocation: Pittsburgh\, Pennsylvania\, USA\nTopics: Human-AI Interaction & Deployment\, Explainability & Interpretability\, Fairness & Responsible AI\nSize: XL\nSubmission type: Paper-based / HCI-focused\nCo nfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official CHI 2 027 page lists Pittsburgh\, May 10-14\, 2027 conference dates and the ful l paper deadline. URL:https://chi2027.acm.org/ LOCATION:Pittsburgh\, Pennsylvania\, USA END:VEVENT BEGIN:VEVENT UID:www-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270510 DTEND;VALUE=DATE:20270515 SUMMARY:[Information Retrieval & Search][Recommender Systems] WWW 2027 - Co nference DESCRIPTION:Conference title: ACM Web Conference (formerly International Wo rld Wide Web Conference)\nWebsite: https://www2027.thewebconf.org/\nSourc e URL: https://www2027.thewebconf.org/\nLocation: Dublin\, Ireland\nTopic s: Information Retrieval & Search\, Recommender Systems\, Graphs & Graph Learning\, LLM Agents & Tool Use\nSize: XL\nSubmission type: Paper-based\ nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official ho mepage states full and short paper portals are open\; separate mandatory abstract gates. Research must substantively address the Web\, not merely use a web dataset. Preserve WWW as the stable series alias. Size is an ed itorial estimate.\nScope: Research on the Web as infrastructure and a soc io-technical ecosystem. Characteristic ML-facing tracks include search an d recommendation\, retrieval-augmented and agentic information access\, g raph learning\, and semantic knowledge. Responsible Web and privacy resea rch are substantive strands. Merely using a web dataset or API is explici tly insufficient topical relevance.\nAdditional topics: Knowledge Represe ntation & Reasoning\, Data Mining & Data Science\, Fairness & Responsible AI\, Privacy-preserving ML\, Ethics & Governance\nScope sources (2027): https://www2027.thewebconf.org/research-track-papers/\nScope last checked : 2026-10-07 URL:https://www2027.thewebconf.org/ LOCATION:Dublin\, Ireland END:VEVENT BEGIN:VEVENT UID:automl-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270515T115900Z DTEND:20270515T125900Z SUMMARY:[Machine Learning][Evolutionary Computation & Optimization] AutoML 2027 - Methods and ABCD paper submission deadline (estimated) DESCRIPTION:Conference title: International Conference on Automated Machine Learning\nWebsite: https://2026.automl.cc/\nSource URL: https://2026.aut oml.cc/dates/\nLocation: To be announced\nTopics: Machine Learning\, Evol utionary Computation & Optimization\, Deep Representation Learning\, Lear ning Theory & Statistical Foundations\nSize: M\nSubmission type: Paper-ba sed\nConfidence: estimated\nLast checked date: 2026-10-07\nNotes: No offi cial 2027 schedule found. Annual meeting and main-track deadlines are pro jections from AutoML 2026\; location is unannounced and links refer to pr ior editions. ABCD covers applications\, benchmarks\, challenges\, and da tasets. Size M is an editorial estimate for this specialist conference.\n Scope: Automating the construction and configuration of learning systems: hyperparameter optimization\, Bayesian optimization\, neural architectur e search\, model selection\, meta-learning\, and pipeline automation. Inc ludes evolutionary and reinforcement-learning approaches\, AutoML for fou ndation models\, and evaluation through applications\, benchmarks\, chall enges\, and datasets. Trustworthiness matters specifically in automated M L workflows.\nAdditional topics: Probabilistic\, Causal & Uncertainty ML\ , Reinforcement Learning\, Explainability & Interpretability\, Natural La nguage Processing & LLMs\, Robustness & Safety\nScope sources (2026): htt ps://2026.automl.cc/call-for-papers/\nScope last checked: 2026-10-07 URL:https://2026.automl.cc/dates/ END:VEVENT BEGIN:VEVENT UID:rss-2027-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270515T115900Z DTEND:20270515T125900Z SUMMARY:[Control & Robotics][Reinforcement Learning] RSS 2027 - Camera-read y deadline DESCRIPTION:Conference title: Robotics: Science and Systems\nWebsite: https ://roboticsconference.org/\nSource URL: https://roboticsconference.org/in formation/cfp/\nLocation: Athens\, Greece\nTopics: Control & Robotics\, R einforcement Learning\, System Identification & Data-driven Dynamics\, Co mputer Vision & Pattern Recognition\nSize: M\nSubmission type: Paper-base d\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: New two-s tage 2027 process requires a six-page initial submission by December 4\, 2026. Only authors invited after review may submit the April final paper\ ; it is not a fresh-paper route after stage 1 closes. Size is an editoria l estimate.\nScope: Focused robotics research linking perception\, learni ng\, planning\, control\, manipulation\, and robot-system science. Reinfo rcement and imitation learning\, model-based behavior\, and reliable auto nomous systems are characteristic intersections. The 2027 review process emphasizes a scientifically developed robotic hypothesis through gated in itial and invited final submissions.\nAdditional topics: Planning & Searc h\, Deep Representation Learning\, Probabilistic\, Causal & Uncertainty M L\, Robustness & Safety\nScope sources (2027): https://roboticsconference .org/information/cfp/\nScope last checked: 2026-10-07 URL:https://roboticsconference.org/information/cfp/ END:VEVENT BEGIN:VEVENT UID:icassp-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270516 DTEND;VALUE=DATE:20270522 SUMMARY:[Signal Processing][Machine Learning] ICASSP 2027 - Conference DESCRIPTION:Conference title: IEEE International Conference on Acoustics\, Speech\, and Signal Processing\nWebsite: https://2027.ieeeicassp.org/\nSo urce URL: https://2027.ieeeicassp.org/\nLocation: Toronto\, Canada\nTopic s: Signal Processing\, Machine Learning\, Time Series & Sequential Data\, Computer Vision & Pattern Recognition\nSize: XL\nSubmission type: Paper- based\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Offic ial ICASSP 2027 pages list Toronto\, May 16-21\, 2027 conference dates\, and the full paper submission deadline. URL:https://2027.ieeeicassp.org/ LOCATION:Toronto\, Canada END:VEVENT BEGIN:VEVENT UID:netsci-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270517 DTEND;VALUE=DATE:20270522 SUMMARY:[Complex Systems & Network Science][Data Mining & Data Science] Net Sci 2027 - Conference DESCRIPTION:Conference title: International School and Conference on Networ k Science\nWebsite: https://netsci2027.github.io/\nSource URL: https://ne tsci2027.github.io/\nLocation: Dresden\, Germany\nTopics: Complex Systems & Network Science\, Data Mining & Data Science\, Nonlinear Dynamics & Ch aos\nSize: L\nSubmission type: Abstract-based\nConfidence: confirmed\nLas t checked date: 2026-10-06\nNotes: Official annual NetSci school/conferen ce in Dresden\, distinct from NetSciX. 2027 CFP not yet published\; Janua ry abstract timing is a prior-edition proxy\, not confirmation. Presentat ion route rather than assumed archival proceedings. Size is an editorial category. URL:https://netsci2027.github.io/ LOCATION:Dresden\, Germany END:VEVENT BEGIN:VEVENT UID:smc-2027-deadline-short-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270517 DTEND;VALUE=DATE:20270518 SUMMARY:[Control & Robotics][Complex Systems & Network Science] SMC 2027 - Estimated work-in-progress paper deadline (estimated) (cutoff time unanno unced) DESCRIPTION:Conference title: IEEE International Conference on Systems\, Ma n\, and Cybernetics\nWebsite: https://www.ieeesmc.org/conferences/calenda r/\nSource URL: https://www.ieeesmc2026.org/Important-Dates\nLocation: Ho Chi Minh City\, Vietnam\nTopics: Control & Robotics\, Complex Systems & Network Science\, Machine Learning\, Human-AI Interaction & Deployment\nS ize: L\nSubmission type: Paper-based\nConfidence: estimated\nLast checked date: 2026-10-07\nNotes: Society confirms the 2027 host city. October 7- 10 appears only in the hosting proposal\, so remains provisional\; deadli nes are one-year proxies from 2026. Do not present proposal dates or unan nounced cutoff hours as confirmed. Size is an editorial estimate.\nScope: Systems science\, cybernetics\, and human-machine systems. Characteristi c ML-facing work includes intelligent and learning-based control\, autono mous systems\, adaptive decision-making\, and human-AI interaction\; brai n-machine interfaces and cognitive systems are meaningful extensions. Its interdisciplinary remit is curated without tagging every industrial appl ication as a core specialty.\nAdditional topics: Reinforcement Learning\, System Identification & Data-driven Dynamics\, BCI & Neurotechnology\, C ognitive Science & Computational Cognition\nScope sources (2026): https:/ /www.ieeesmc2026.org/call-for-papers\nScope last checked: 2026-10-07\nOff icial deadline day\; exact cutoff hour/timezone is unannounced. Verify th e organizer's submission portal. URL:https://www.ieeesmc2026.org/Important-Dates END:VEVENT BEGIN:VEVENT UID:siam-ds-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270523 DTEND;VALUE=DATE:20270528 SUMMARY:[Nonlinear Dynamics & Chaos][Complex Systems & Network Science] SIA M DS 2027 - Conference DESCRIPTION:Conference title: SIAM Conference on Applications of Dynamical Systems\nWebsite: https://www.siam.org/conferences-events/siam-conference s/ds27/\nSource URL: https://www.siam.org/conferences-events/siam-confere nces/ds27/\nLocation: Atlanta\, Georgia\, USA\nTopics: Nonlinear Dynamics & Chaos\, Complex Systems & Network Science\, System Identification & Da ta-driven Dynamics\, Machine Learning\nSize: L\nSubmission type: Abstract -based\nConfidence: confirmed\nLast checked date: 2026-10-06\nNotes: Bien nial SIAM dynamical-systems meeting. Submissions are presentation abstrac ts\, not archival full papers. Official deadlines specify 11:59 pm Easter n Time\, accounting for daylight saving. Size is an editorial category. URL:https://www.siam.org/conferences-events/siam-conferences/ds27/ LOCATION:Atlanta\, Georgia\, USA END:VEVENT BEGIN:VEVENT UID:icra-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270524 DTEND;VALUE=DATE:20270529 SUMMARY:[Control & Robotics][Reinforcement Learning] ICRA 2027 - Conference DESCRIPTION:Conference title: IEEE International Conference on Robotics and Automation\nWebsite: https://2027.ieee-icra.org/\nSource URL: https://20 27.ieee-icra.org/\nLocation: Seoul\, South Korea\nTopics: Control & Robot ics\, Reinforcement Learning\, Computer Vision & Pattern Recognition\, Sy stem Identification & Data-driven Dynamics\nSize: XXL\nSubmission type: P aper-based\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official September 16 extension notice states new deadline September 16 a t 23:59 PST\; preserve its literal UTC-8 even though local September civi l time is PDT. Fresh-paper submissions are closed. Optional videos and fi nal uploads do not reopen them. Size is an editorial estimate.\nScope: Ro botics and automation across perception\, motion and manipulation\, plann ing and control\, human-robot interaction\, and autonomous systems. Learn ing-based robotics\, reinforcement and imitation learning\, and data-driv en models are relevant when they advance physical robotic capability. Gen eric ML with no robotics connection is not the core remit.\nAdditional to pics: Planning & Search\, Deep Representation Learning\, Human-AI Interac tion & Deployment\, Robustness & Safety\nScope sources (2027): https://20 27.ieee-icra.org/contribute/call-for-icra-2027-papers-now-accepting-submi ssions/\nScope last checked: 2026-10-07 URL:https://2027.ieee-icra.org/ LOCATION:Seoul\, South Korea END:VEVENT BEGIN:VEVENT UID:isbi-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270525 DTEND;VALUE=DATE:20270529 SUMMARY:[Biomedical Imaging][Signal Processing] ISBI 2027 - Conference DESCRIPTION:Conference title: IEEE International Symposium on Biomedical Im aging\nWebsite: https://biomedicalimaging.org/2027/\nSource URL: https:// biomedicalimaging.org/2027/\nLocation: Lausanne\, Switzerland\nTopics: Bi omedical Imaging\, Signal Processing\, Healthcare & Clinical AI\, Machine Learning\nSize: L\nSubmission type: Paper-based\nConfidence: confirmed\n Last checked date: 2026-10-06\nNotes: Official ISBI 2027 page lists Lausa nne\, May 25-28\, and the four-page paper and one-page abstract deadlines . The paper submission link was live on Oct 6. URL:https://biomedicalimaging.org/2027/ LOCATION:Lausanne\, Switzerland END:VEVENT BEGIN:VEVENT UID:ieee-ner-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270525T065900Z DTEND:20270525T075900Z SUMMARY:[BCI & Neurotechnology][EEG/MEG & Neural Signals] IEEE NER 2027 - L ate-breaking abstract deadline (estimated) DESCRIPTION:Conference title: International IEEE EMBS Conference on Neural Engineering\nWebsite: https://ieee-ner.org/\nSource URL: https://neuro.em bs.org/2025/wp-content/uploads/sites/113/2025/04/NER-25-CFPv.6.pdf\nLocat ion: Milan\, Italy\nTopics: BCI & Neurotechnology\, EEG/MEG & Neural Sign als\, Signal Processing\, Healthcare & Clinical AI\nSize: M\nSubmission t ype: Paper-based / engineering-focused\nConfidence: estimated\nLast check ed date: 2026-10-06\nNotes: The official IEEE EMBS announcement confirms Milan\, Sep 7-10\, 2027. Submission dates are estimates using the 2025 CF P lead times before the meeting\; the 2027 CFP is not yet published. URL:https://neuro.embs.org/2025/wp-content/uploads/sites/113/2025/04/NER-25 -CFPv.6.pdf END:VEVENT BEGIN:VEVENT UID:emnlp-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270526T115900Z DTEND:20270526T125900Z SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] EMNLP 2027 - Estimated ARR paper submission deadline (estimated) DESCRIPTION:Conference title: Conference on Empirical Methods in Natural La nguage Processing\nWebsite: https://www.aclweb.org/portal/content/joint-c all-workshops-proposals-2027\nSource URL: https://2026.emnlp.org/calls/ma in_conference_papers/\nLocation: Mexico or Central America\; city to be a nnounced\nTopics: Natural Language Processing & LLMs\, Deep Representatio n Learning\, LLM Agents & Tool Use\, Information Retrieval & Search\nSize : XXL\nSubmission type: Paper-based\nConfidence: estimated\nLast checked date: 2026-10-07\nNotes: ACL announces tentative early November 2027 in M exico or Central America. November 1-6 is a planning placeholder within t hat window\, not published exact dates. Paper timing is a one-year proxy from 2026\; do not infer commitment eligibility or portal opening.\nScope : Empirical methods for language modeling and NLP\, including generation\ , information extraction\, multilinguality\, dialogue\, retrieval\, and m odel evaluation. Interpretability\, bias\, and safety matter within langu age systems. Curated coverage emphasizes language methods and evidence ra ther than every application listed in the CFP.\nAdditional topics: Explai nability & Interpretability\, Fairness & Responsible AI\, Robustness & Sa fety\, Human-AI Interaction & Deployment\nScope sources (2026): https://2 026.emnlp.org/calls/main_conference_papers/\nScope last checked: 2026-10- 07 URL:https://2026.emnlp.org/calls/main_conference_papers/ END:VEVENT BEGIN:VEVENT UID:naacl-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270601 DTEND;VALUE=DATE:20270606 SUMMARY:[Natural Language Processing & LLMs][LLM Agents & Tool Use] NAACL 2 027 - Conference DESCRIPTION:Conference title: Conference of the Nations of the Americas Cha pter of the Association for Computational Linguistics\nWebsite: https://2 027.naacl.org/\nSource URL: https://2027.naacl.org/\nLocation: San Franci sco\, California\, USA\nTopics: Natural Language Processing & LLMs\, LLM Agents & Tool Use\, Information Retrieval & Search\, Deep Representation Learning\nSize: XL\nSubmission type: Paper-based\nConfidence: confirmed\n Last checked date: 2026-10-07\nNotes: Formerly North American Chapter\; r etains NAACL acronym. Shares October ARR cycle with COLING\, but authors may commit to only one primary venue. Commitment is not a fresh-paper rou te. Size is an editorial estimate.\nScope: Language technologies and comp utational linguistics across the Americas community\, covering multilingu al and low-resource NLP\, language models\, dialogue\, retrieval\, evalua tion\, and linguistic analysis. The 2027 theme concerns language as a med ium for agentic communication\, not merely running multiple models. Gener al application domains are not standalone specialist tags.\nAdditional to pics: Autonomous Agents & Multiagent Systems\, Cognitive Science & Comput ational Cognition\, Fairness & Responsible AI\, Robustness & Safety\, Hum an-AI Interaction & Deployment\nScope sources (2027): https://2027.naacl. org/calls/main_conference_papers/\nScope last checked: 2026-10-07 URL:https://2027.naacl.org/ LOCATION:San Francisco\, California\, USA END:VEVENT BEGIN:VEVENT UID:acpr-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270602T065900Z DTEND:20270602T075900Z SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] ACPR 2027 - Abstract submission deadline (estimated) DESCRIPTION:Conference title: Asian Conference on Pattern Recognition\nWebs ite: https://iapr.org/\nSource URL: https://www.acpr2025.com/date\nLocati on: TBD\nTopics: Computer Vision & Pattern Recognition\, Machine Learning \, Deep Representation Learning\nSize: M\nSubmission type: Paper-based\nC onfidence: estimated\nLast checked date: 2026-10-06\nNotes: The latest of ficial proceedings are for ACPR 2025. The 2027 meeting is a biennial-cale ndar placeholder\; submission estimates use the original (pre-extension) 2025 CFP lead times and weekdays so an earlier gate is not missed. Verify against an official 2027 announcement. URL:https://www.acpr2025.com/date END:VEVENT BEGIN:VEVENT UID:icmr-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270607 DTEND;VALUE=DATE:20270611 SUMMARY:[Multimedia Learning & Retrieval][Computer Vision & Pattern Recogni tion] ICMR 2027 - Conference DESCRIPTION:Conference title: ACM SIGMM International Conference on Multime dia Retrieval\nWebsite: https://www.icmr2027.org/\nSource URL: https://ww w.icmr2027.org/date\nLocation: Singapore\nTopics: Multimedia Learning & R etrieval\, Computer Vision & Pattern Recognition\, Machine Learning\, Dee p Representation Learning\nSize: M\nSubmission type: Full and short paper s / multimedia retrieval\nConfidence: confirmed\nLast checked date: 2026- 10-07\nNotes: Official dates explicitly use 23:59:59 AoE and confirm Sing apore\, June 7-10. Full/short and Brave New Ideas papers share January 31 \; separate reproducibility/demo dates are not generalized to unrestricte d main papers. The regular-paper submission portal is not yet announced. M is an editorial size estimate.\nScope: Search and retrieval of multimed ia and multimodal content. Characteristic work studies indexing\, content understanding\, query representations\, cross-modal matching\, relevance feedback\, recommendation\, and evaluation\, with deep learning and mult imodal models as important methods. Privacy-aware retrieval and knowledge discovery extend this core. The long applications list is not used to ch aracterize ICMR as a medicine\, finance\, or travel venue.\nAdditional to pics: Data Mining & Data Science\, Natural Language Processing & LLMs\, P rivacy-preserving ML\nScope sources (2027): https://www.icmr2027.org/cfc\ nScope last checked: 2026-10-07 URL:https://www.icmr2027.org/date LOCATION:Singapore END:VEVENT BEGIN:VEVENT UID:international-bci-meeting-2027-conference@scientific-conference-calenda r DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270607 DTEND;VALUE=DATE:20270611 SUMMARY:[BCI & Neurotechnology][EEG/MEG & Neural Signals] International BCI Meeting 2027 - Conference DESCRIPTION:Conference title: International Brain-Computer Interface Meetin g\nWebsite: https://bcisociety.org/bci-meeting/\nSource URL: https://bcis ociety.org/bci-meeting/\nLocation: Sibenik\, Croatia\nTopics: BCI & Neuro technology\, EEG/MEG & Neural Signals\, Computational Neuroscience\, Huma n-AI Interaction & Deployment\nSize: M\nSubmission type: Abstract/communi ty-based\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Of ficial BCI Society page lists the 12th International BCI Meeting in Siben ik\, Croatia\, June 7-10\, 2027\, with poster/oral abstract submission du e Jan 15\, 2027. URL:https://bcisociety.org/bci-meeting/ LOCATION:Sibenik\, Croatia END:VEVENT BEGIN:VEVENT UID:acpr-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270609T065900Z DTEND:20270609T075900Z SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] ACPR 2027 - Full paper submission deadline (estimated) DESCRIPTION:Conference title: Asian Conference on Pattern Recognition\nWebs ite: https://iapr.org/\nSource URL: https://www.acpr2025.com/date\nLocati on: TBD\nTopics: Computer Vision & Pattern Recognition\, Machine Learning \, Deep Representation Learning\nSize: M\nSubmission type: Paper-based\nC onfidence: estimated\nLast checked date: 2026-10-06\nNotes: The latest of ficial proceedings are for ACPR 2025. The 2027 meeting is a biennial-cale ndar placeholder\; submission estimates use the original (pre-extension) 2025 CFP lead times and weekdays so an earlier gate is not missed. Verify against an official 2027 announcement. URL:https://www.acpr2025.com/date END:VEVENT BEGIN:VEVENT UID:interspeech-2027-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270609 DTEND;VALUE=DATE:20270610 SUMMARY:[Signal Processing][Machine Learning] Interspeech 2027 - Conference paper camera-ready deadline (cutoff time unannounced) DESCRIPTION:Conference title: Annual Conference of the International Speech Communication Association\nWebsite: https://interspeech2027.org/\nSource URL: https://interspeech2027.org/\nLocation: Sao Paulo\, Brazil\nTopics: Signal Processing\, Machine Learning\, Deep Representation Learning\, Na tural Language Processing & LLMs\nSize: XL\nSubmission type: Paper-based / interactive demonstration papers\nConfidence: confirmed\nLast checked d ate: 2026-10-07\nNotes: Organizer and ISCA confirm Sao Paulo\, Aug 29-Sep 2. Regular paper\, update\, and camera-ready days are announced without an exact cutoff\; AoE is provisional for those date-only events. Show & T ell explicitly uses 23:59 AoE and requires a two-page paper\, video\, and interactive demonstration. The Feb 16 update is not a fresh submission r oute. XL reflects the official description of more than 2\,000 annual att endees\; the ICORE rank and historical acceptance fields describe the mai n conference\, not its demonstration track.\nScope: Speech science and sp eech technology\, linking spoken-language research with computational met hods for speech recognition\, speech synthesis\, and speech communication . Machine learning and language models are relevant through speech and sp oken-language problems. The current 2027 overview emphasizes the relation ship between speech research and spoken-language technologies.\nAdditiona l topics: \nScope sources (2027): https://interspeech2027.org/\nScope las t checked: 2026-10-07\nOfficial deadline day\; exact cutoff hour/timezone is unannounced. Verify the organizer's submission portal. URL:https://interspeech2027.org/ END:VEVENT BEGIN:VEVENT UID:interspeech-2027-deadline-demo-camera-ready@scientific-conference-calen dar DTSTAMP:19700101T000000Z DTSTART:20270610T115900Z DTEND:20270610T125900Z SUMMARY:[Signal Processing][Machine Learning] Interspeech 2027 - Show & Tel l camera-ready paper and video deadline DESCRIPTION:Conference title: Annual Conference of the International Speech Communication Association\nWebsite: https://interspeech2027.org/\nSource URL: https://interspeech2027.org/calls/call_show_and_tell/\nLocation: Sa o Paulo\, Brazil\nTopics: Signal Processing\, Machine Learning\, Deep Rep resentation Learning\, Natural Language Processing & LLMs\nSize: XL\nSubm ission type: Paper-based / interactive demonstration papers\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Organizer and ISCA confi rm Sao Paulo\, Aug 29-Sep 2. Regular paper\, update\, and camera-ready da ys are announced without an exact cutoff\; AoE is provisional for those d ate-only events. Show & Tell explicitly uses 23:59 AoE and requires a two -page paper\, video\, and interactive demonstration. The Feb 16 update is not a fresh submission route. XL reflects the official description of mo re than 2\,000 annual attendees\; the ICORE rank and historical acceptanc e fields describe the main conference\, not its demonstration track.\nSco pe: Speech science and speech technology\, linking spoken-language resear ch with computational methods for speech recognition\, speech synthesis\, and speech communication. Machine learning and language models are relev ant through speech and spoken-language problems. The current 2027 overvie w emphasizes the relationship between speech research and spoken-language technologies.\nAdditional topics: \nScope sources (2027): https://inters peech2027.org/\nScope last checked: 2026-10-07 URL:https://interspeech2027.org/calls/call_show_and_tell/ END:VEVENT BEGIN:VEVENT UID:sfn-neuroscience-2027-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270610T210000Z DTEND:20270610T220000Z SUMMARY:[Systems & Experimental Neuroscience][Computational Neuroscience] S fN Neuroscience 2027 - Estimated regular research abstract submission dea dline (estimated) DESCRIPTION:Conference title: Society for Neuroscience Annual Meeting\nWebs ite: https://www.sfn.org/meetings\nSource URL: https://www.sfn.org/cfa\nL ocation: Chicago\, Illinois\, USA\nTopics: Systems & Experimental Neurosc ience\, Computational Neuroscience\, Cognitive Science & Computational Co gnition\, Neuroimaging & Brain Mapping\nSize: XXL\nSubmission type: Abstr act-based\nConfidence: estimated\nLast checked date: 2026-10-08\nNotes: S fN confirms the Chicago meeting dates. The regular abstract deadline is a one-year proxy from 2026\, not a published 2027 call. No opening date\, late-breaking capacity or proceedings-paper route is assumed. Size is an editorial estimate.\nScope: Broad neuroscience annual meeting spanning mo lecular and cellular neuroscience\, neural circuits\, systems and behavio ral neuroscience\, cognition\, development and disease. Computational neu roscience\, neuroimaging and neurotechnology are relevant parts of this b road remit\, not its exclusive identity. Research abstracts are presented and archived\; they are not standard full-paper conference proceedings.\ nAdditional topics: EEG/MEG & Neural Signals\, BCI & Neurotechnology\nSco pe sources (2026): https://www.sfn.org/cfa\, https://www.sfn.org/meetings \nScope last checked: 2026-10-08 URL:https://www.sfn.org/cfa END:VEVENT BEGIN:VEVENT UID:ieee-mlsp-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270613T115900Z DTEND:20270613T125900Z SUMMARY:[Machine Learning][Signal Processing] IEEE MLSP 2027 - Conference p aper submission deadline (estimated) DESCRIPTION:Conference title: IEEE International Workshop on Machine Learni ng for Signal Processing\nWebsite: https://signalprocessingsociety.org/ta gs/mlsp-2027\nSource URL: https://signalprocessingsociety.org/event-names /mlsp\nLocation: Uppsala\, Sweden\nTopics: Machine Learning\, Signal Proc essing\, Time Series & Sequential Data\nSize: M\nSubmission type: Paper-b ased / workshop-style conference\nConfidence: estimated\nLast checked dat e: 2026-10-06\nNotes: IEEE SPS confirms Uppsala\, Sep 13-16. Paper deadli ne remains an estimated 2026 timing proxy until the 2027 CFP appears. URL:https://signalprocessingsociety.org/event-names/mlsp END:VEVENT BEGIN:VEVENT UID:ijcnn-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270614 DTEND;VALUE=DATE:20270619 SUMMARY:[Machine Learning][Deep Representation Learning] IJCNN 2027 - Confe rence DESCRIPTION:Conference title: International Joint Conference on Neural Netw orks\nWebsite: https://ijcnn.org/2027\nSource URL: https://ijcnn.org/2027 \nLocation: Cape Town\, South Africa\nTopics: Machine Learning\, Deep Rep resentation Learning\, Learning Theory & Statistical Foundations\, Signal Processing\nSize: XL\nSubmission type: Paper-based\nConfidence: confirme d\nLast checked date: 2026-08-20\nNotes: Official IJCNN 2027 site lists C ape Town\, Jun 14-18\, and the regular-paper deadline. URL:https://ijcnn.org/2027 LOCATION:Cape Town\, South Africa END:VEVENT BEGIN:VEVENT UID:l4dc-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270616 DTEND;VALUE=DATE:20270619 SUMMARY:[Machine Learning][Control & Robotics] L4DC 2027 - Conference DESCRIPTION:Conference title: Learning for Dynamics and Control\nWebsite: h ttps://l4dc2027.control.ee.ethz.ch/home\nSource URL: https://l4dc2027.con trol.ee.ethz.ch/home\nLocation: Stockholm\, Sweden\nTopics: Machine Learn ing\, Control & Robotics\, System Identification & Data-driven Dynamics\, Reinforcement Learning\nSize: M\nSubmission type: Paper-based\nConfidenc e: confirmed\nLast checked date: 2026-10-06\nNotes: Annual conference at the ML/control interface\, hosted by KTH. Official days are published\; c utoff hours are unannounced and represented using estimated end-of-day Ao E timing. Late-breaking results are a separate presentation route\, not r egular proceedings papers. Size is an editorial scale category\, not a ve rified attendance count.\nScope: The interface of learning\, dynamics\, c ontrol\, and optimization for physical and dynamical systems. Emphasizes foundations and methods for data-driven control and dynamical modeling\, including theoretical\, empirical\, and applied contributions. Pure patte rn recognition without a meaningful connection to dynamics or control is not the defining focus.\nAdditional topics: Learning Theory & Statistical Foundations\nScope sources (2027): https://l4dc2027.control.ee.ethz.ch/h ome\nScope last checked: 2026-10-07 URL:https://l4dc2027.control.ee.ethz.ch/home LOCATION:Stockholm\, Sweden END:VEVENT BEGIN:VEVENT UID:euvip-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270616T115900Z DTEND:20270616T125900Z SUMMARY:[Signal Processing][Computer Vision & Pattern Recognition] EUVIP 20 27 - Regular paper submission deadline (estimated) DESCRIPTION:Conference title: European Conference on Visual Information Pro cessing\nWebsite: https://euvip2026.github.io/\nSource URL: https://euvip 2026.github.io/\nLocation: To be announced\nTopics: Signal Processing\, C omputer Vision & Pattern Recognition\, Machine Learning\, Deep Representa tion Learning\nSize: S\nSubmission type: Paper-based / visual information processing\nConfidence: estimated\nLast checked date: 2026-10-07\nNotes: No organizer-confirmed 2027 edition was found. Meeting and paper timing are annual planning proxies from 2026's final extended deadline. The next first deadline may be earlier\; do not treat a prior extension as guaran teed. Website and timezone belong to the previous edition\; location is u nannounced.\nScope: Visual information processing across image\, video\, 3D\, and unconventional sensing modalities. Its defining areas are comput ational imaging\, restoration and enhancement\, coding\, recognition\, mu ltimodal fusion\, and subjective/objective quality assessment. Rendering and visualizing data\, human/biometric analysis\, and robust evaluation a re recurring strands. An extensive applications list is not treated as eq ual coverage of every application domain or every responsible-AI subtopic .\nAdditional topics: Multimedia Learning & Retrieval\, Computer Graphics & Visualization\, Biometrics & Human Sensing\, Robustness & Safety\nScop e sources (2026): https://euvip2026.github.io/C4P.pdf\, https://euvip2026 .github.io/calls/\nScope last checked: 2026-10-07 URL:https://euvip2026.github.io/ END:VEVENT BEGIN:VEVENT UID:cvpr-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270620 DTEND;VALUE=DATE:20270626 SUMMARY:[Computer Vision & Pattern Recognition][Deep Representation Learnin g] CVPR 2027 - Conference DESCRIPTION:Conference title: IEEE/CVF Conference on Computer Vision and Pa ttern Recognition\nWebsite: https://cvpr.thecvf.com/Conferences/2027\nSou rce URL: https://cvpr.thecvf.com/Conferences/2027\nLocation: Seattle\, Wa shington\, USA\nTopics: Computer Vision & Pattern Recognition\, Deep Repr esentation Learning\, Machine Learning\nSize: XXL\nSubmission type: Paper -based / OpenReview\nConfidence: confirmed\nLast checked date: 2026-10-07 \nNotes: Official 2027 homepage and CFP confirm Seattle and AoE submissio n dates. Mandatory registration gates paper submission. XXL is supported by the organizer's description of more than 10\,000 annual attendees. His torical acceptance statistics refer to the main technical program\, not w orkshops.\nScope: Broad computer vision and pattern recognition: visual r epresentations\, recognition and segmentation\, 3D reconstruction\, compu tational imaging\, image and video generation\, motion and tracking\, and vision-language learning. Graphics\, multimodal learning\, human face/bo dy understanding\, and reliable vision are substantial recurring research areas. Peripheral application fields are not tagged merely because a lon g CFP mentions them.\nAdditional topics: Computer Graphics & Visualizatio n\, Multimedia Learning & Retrieval\, Natural Language Processing & LLMs\ , Biometrics & Human Sensing\, Robustness & Safety\nScope sources (2027): https://cvpr.thecvf.com/Conferences/2027/CallForPapers\nScope last check ed: 2026-10-07 URL:https://cvpr.thecvf.com/Conferences/2027 LOCATION:Seattle\, Washington\, USA END:VEVENT BEGIN:VEVENT UID:acm-facct-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270621 DTEND;VALUE=DATE:20270625 SUMMARY:[Fairness & Responsible AI][Explainability & Interpretability] ACM FAccT 2027 - Conference DESCRIPTION:Conference title: ACM Conference on Fairness\, Accountability\, and Transparency\nWebsite: https://facctconference.org/\nSource URL: htt ps://facctconference.org/2027/cfp.html\nLocation: TBD\nTopics: Fairness & Responsible AI\, Explainability & Interpretability\, Ethics & Governance \, Privacy-preserving ML\nSize: M\nSubmission type: Paper-based / interdi sciplinary\nConfidence: confirmed\nLast checked date: 2026-08-20\nNotes: Official FAccT 2027 call for papers lists conference dates and abstract/p aper submission deadlines.\nScope: Fairness\, accountability\, and transp arency in computing\, combining algorithmic research with sociotechnical\ , legal\, philosophical\, and human-centered approaches. Characteristic c ontributions include audits and evaluation practices\, governance\, human experiences of systems\, and responsible development and deployment. A f airness or accountability question should be substantive\, not a passing motivation for generic ML.\nAdditional topics: Human-AI Interaction & Dep loyment\, Robustness & Safety\nScope sources (2026): https://facctconfere nce.org/2026/cfp.html\nScope last checked: 2026-10-07 URL:https://facctconference.org/2027/cfp.html LOCATION:TBD END:VEVENT BEGIN:VEVENT UID:mlsys-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270621 DTEND;VALUE=DATE:20270626 SUMMARY:[ML Systems & Infrastructure][Machine Learning] MLSys 2027 - Confer ence DESCRIPTION:Conference title: Conference on Machine Learning and Systems\nW ebsite: https://mlsys.org/Conferences/2027\nSource URL: https://mlsys.org /Conferences/2027\nLocation: Bellevue\, Washington\, USA\nTopics: ML Syst ems & Infrastructure\, Machine Learning\, Federated & Distributed Learnin g\, Natural Language Processing & LLMs\nSize: L\nSubmission type: Paper-b ased / research and industrial tracks\nConfidence: confirmed\nLast checke d date: 2026-10-07\nNotes: Tenth annual edition. CFP explicitly specifies 20:00 UTC for Oct 10 opening and Oct 30 closing. The homepage's noon PDT listing is inconsistent by one hour\; prefer the explicit CFP UTC times and recheck the submission portal before the deadline. No separate abstra ct prerequisite is announced. Size L is an editorial estimate.\nScope: Th e intersection of machine learning and computer systems\, including effic ient training\, inference and serving\, compilers and runtimes\, programm ing abstractions\, specialized hardware\, distributed learning\, and syst em monitoring. LLM and agentic workloads are considered from a systems pe rspective. Both systems for ML and ML methods that improve computing syst ems are relevant.\nAdditional topics: Reinforcement Learning\, Privacy-pr eserving ML\nScope sources (2027): https://mlsys.org/Conferences/2027/Cal lForResearchPapers\nScope last checked: 2026-10-07 URL:https://mlsys.org/Conferences/2027 LOCATION:Bellevue\, Washington\, USA END:VEVENT BEGIN:VEVENT UID:ais-2027-deadline-regular-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270623T115900Z DTEND:20270623T125900Z SUMMARY:[Machine Learning][Data Mining & Data Science] AIS 2027 (formerly L OD) - First-batch paper submission deadline (estimated) DESCRIPTION:Conference title: Artificial Intelligence Symposium (formerly L OD)\nWebsite: https://ais2026.icas.events/\nSource URL: https://ais2026.i cas.events/\nLocation: TBD\nTopics: Machine Learning\, Data Mining & Data Science\, Learning Theory & Statistical Foundations\, Time Series & Sequ ential Data\nSize: M\nSubmission type: Paper-based / Springer proceedings \nConfidence: estimated\nLast checked date: 2026-10-06\nNotes: AIS's offi cial 2026 site describes the renamed series as annual. The 2027 meeting a nd submission dates are estimates preserving the 2026 weekdays and early batch lead times\; no 2027 CFP or venue is yet published. URL:https://ais2026.icas.events/ END:VEVENT BEGIN:VEVENT UID:ohbm-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270626 DTEND;VALUE=DATE:20270701 SUMMARY:[Neuroimaging & Brain Mapping][EEG/MEG & Neural Signals] OHBM 2027 - Conference (estimated) DESCRIPTION:Conference title: Organization for Human Brain Mapping Annual M eeting\nWebsite: https://humanbrainmapping.org/ohbm-2027/\nSource URL: ht tps://humanbrainmapping.org/ohbm-2027/\nLocation: Toronto\, Canada\nTopic s: Neuroimaging & Brain Mapping\, EEG/MEG & Neural Signals\, Healthcare & Clinical AI\, Computational Neuroscience\nSize: XL\nSubmission type: Abs tract-based / talks selective\nConfidence: estimated\nLast checked date: 2026-10-05\nNotes: Official OHBM 2027 page confirms Toronto and Jun 26-30 \, 2027\; it publishes the abstract window only as December 2026\, so the exact deadline remains estimated. URL:https://humanbrainmapping.org/ohbm-2027/ LOCATION:Toronto\, Canada END:VEVENT BEGIN:VEVENT UID:icaps-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270627 DTEND;VALUE=DATE:20270703 SUMMARY:[Planning & Search][Knowledge Representation & Reasoning] ICAPS 202 7 - Conference DESCRIPTION:Conference title: International Conference on Automated Plannin g and Scheduling\nWebsite: https://icaps27.icaps-conference.org/\nSource URL: https://icaps27.icaps-conference.org/calls/cfp/\nLocation: Columbia\ , South Carolina\, USA\nTopics: Planning & Search\, Knowledge Representat ion & Reasoning\, Machine Learning\, Control & Robotics\nSize: M\nSubmiss ion type: Long and short papers / automated planning\nConfidence: confirm ed\nLast checked date: 2026-10-07\nNotes: Official CFP confirms the meeti ng and 23:59 UTC-12 abstract/paper deadlines. Learning and foundation-mod el papers require a substantive planning or scheduling contribution\; rei nforcement learning alone is explicitly outside the main-track scope. M i s an editorial size estimate.\nScope: Automated planning and scheduling\, heuristic search\, constraint-based reasoning\, temporal and hierarchica l planning\, and planning under uncertainty. Learning and foundation mode ls fit when they substantially advance planning or scheduling\, including model acquisition and search guidance. The main CFP explicitly excludes reinforcement-learning papers without a substantive planning contribution \; general reward-based learning is not a blanket tag.\nAdditional topics : Probabilistic\, Causal & Uncertainty ML\nScope sources (2027): https:// icaps27.icaps-conference.org/calls/cfp/\nScope last checked: 2026-10-07 URL:https://icaps27.icaps-conference.org/calls/cfp/ LOCATION:Columbia\, South Carolina\, USA END:VEVENT BEGIN:VEVENT UID:chil-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270628 DTEND;VALUE=DATE:20270701 SUMMARY:[Healthcare & Clinical AI][Probabilistic\, Causal & Uncertainty ML] CHIL 2027 - Conference (estimated) DESCRIPTION:Conference title: Conference on Health\, Inference\, and Learni ng\nWebsite: https://chil.ahli.cc/\nSource URL: https://chil.ahli.cc/\nLo cation: To be announced\nTopics: Healthcare & Clinical AI\, Probabilistic \, Causal & Uncertainty ML\, Fairness & Responsible AI\, Machine Learning \nSize: M\nSubmission type: Paper-based\nConfidence: estimated\nLast chec ked date: 2026-10-06\nNotes: Provisional 1-year cadence projection from C HIL 2026. Meeting dates\, location\, and deadlines require organizer conf irmation\; website and source links refer to the prior edition.\nScope: M achine learning and inference for clinical\, public\, and population heal th. Distinguishing areas include causal inference\, survival analysis\, m ultimodal health data\, generalization across populations\, interpretabil ity\, and clinical evaluation and deployment. Research may emphasize meth ods\, practical applications\, or societal impact. Health-focused inferen ce and evaluation remain the common thread across these tracks.\nAddition al topics: Explainability & Interpretability\, Human-AI Interaction & Dep loyment\, Robustness & Safety\, Time Series & Sequential Data\nScope sour ces (2026): https://chil.ahli.cc/submit/call-for-papers/\nScope last chec ked: 2026-10-07 URL:https://chil.ahli.cc/ LOCATION:To be announced END:VEVENT BEGIN:VEVENT UID:colt-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270628 DTEND;VALUE=DATE:20270703 SUMMARY:[Learning Theory & Statistical Foundations][Machine Learning] COLT 2027 - Conference (estimated) DESCRIPTION:Conference title: Conference on Learning Theory\nWebsite: https ://learningtheory.org/colt2027/\nSource URL: https://learningtheory.org/c olt2027/\nLocation: Tokyo\, Japan\nTopics: Learning Theory & Statistical Foundations\, Machine Learning\nSize: M\nSubmission type: Paper-based / t heory-focused\nConfidence: estimated\nLast checked date: 2026-10-05\nNote s: Official COLT 2027 page confirms Tokyo and Jun 28-Jul 2\, 2027\; submi ssion milestones remain estimates until the current CFP publishes them.\n Scope: Theoretical foundations of learning at the intersection of compute r science\, statistics\, and applied mathematics. Characteristic work stu dies learnability\, sample and computational complexity\, online learning \, optimization\, bandits\, and generalization. Neural-network\, causal\, reinforcement-learning\, privacy\, and fairness papers belong here when the theoretical contribution is central.\nAdditional topics: Deep Represe ntation Learning\, Probabilistic\, Causal & Uncertainty ML\, Reinforcemen t Learning\, Privacy-preserving ML\, Fairness & Responsible AI\nScope sou rces (2026): https://learningtheory.org/colt2026/cfp.html\nScope last che cked: 2026-10-07 URL:https://learningtheory.org/colt2027/ LOCATION:Tokyo\, Japan END:VEVENT BEGIN:VEVENT UID:ieee-ssp-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270628 DTEND;VALUE=DATE:20270702 SUMMARY:[Signal Processing][Machine Learning] IEEE SSP 2027 - Conference DESCRIPTION:Conference title: IEEE Statistical Signal Processing Workshop\n Website: https://ssp27.ieeesps.org/\nSource URL: https://ssp27.ieeesps.or g/\nLocation: Annecy\, France\nTopics: Signal Processing\, Machine Learni ng\, Time Series & Sequential Data\, Probabilistic\, Causal & Uncertainty ML\nSize: M\nSubmission type: Paper-based / specialist workshop\nConfide nce: confirmed\nLast checked date: 2026-08-31\nNotes: Official IEEE SSP 2 027 pages confirm Annecy\, Jun 28-Jul 1\, 2027\, and the Feb 7 paper-subm ission deadline. URL:https://ssp27.ieeesps.org/ LOCATION:Annecy\, France END:VEVENT BEGIN:VEVENT UID:pakdd-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270629 DTEND;VALUE=DATE:20270703 SUMMARY:[Data Mining & Data Science][Machine Learning] PAKDD 2027 - Confere nce DESCRIPTION:Conference title: Pacific-Asia Conference on Knowledge Discover y and Data Mining\nWebsite: https://pakdd2027.org/\nSource URL: https://p akdd2027.org/\nLocation: Wellington\, New Zealand\nTopics: Data Mining & Data Science\, Machine Learning\, Time Series & Sequential Data\, Learnin g Theory & Statistical Foundations\nSize: L\nSubmission type: Paper-based \nConfidence: confirmed\nLast checked date: 2026-10-05\nNotes: Official P AKDD 2027 site confirms Wellington\, Jun 29-Jul 2\, and Nov 20 research-t rack submission and Mar 19 camera-ready deadlines\, all AoE. URL:https://pakdd2027.org/ LOCATION:Wellington\, New Zealand END:VEVENT BEGIN:VEVENT UID:bernstein-conference-2027-deadline-abstract@scientific-conference-calen dar DTSTAMP:19700101T000000Z DTSTART:20270701T130000Z DTEND:20270701T140000Z SUMMARY:[Computational Neuroscience][EEG/MEG & Neural Signals] Bernstein Co nference 2027 - Abstract submission deadline (estimated) DESCRIPTION:Conference title: Bernstein Conference\nWebsite: https://bernst ein-network.de/bernstein-conference/bernstein-conference-2027/\nSource UR L: https://bernstein-network.de/en/bernstein-conference/general-informati on/important-dates-faq/\nLocation: Lausanne\, Switzerland\nTopics: Comput ational Neuroscience\, EEG/MEG & Neural Signals\, Machine Learning\, Time Series & Sequential Data\nSize: M\nSubmission type: Abstract-based / tal ks selective\nConfidence: estimated\nLast checked date: 2026-10-06\nNotes : Bernstein Network confirms Lausanne\, Sep 15-18. Abstract date is a pri or-edition timing estimate until the 2027 call appears. URL:https://bernstein-network.de/en/bernstein-conference/general-informatio n/important-dates-faq/ END:VEVENT BEGIN:VEVENT UID:conll-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270703 DTEND;VALUE=DATE:20270705 SUMMARY:[Natural Language Processing & LLMs][Cognitive Science & Computatio nal Cognition] CoNLL 2027 - Conference (estimated) DESCRIPTION:Conference title: Conference on Computational Natural Language Learning\nWebsite: https://www.conll.org/\nSource URL: https://www.conll. org/\nLocation: To be announced\nTopics: Natural Language Processing & LL Ms\, Cognitive Science & Computational Cognition\, Computational Neurosci ence\, Explainability & Interpretability\nSize: S\nSubmission type: Paper -based\nConfidence: estimated\nLast checked date: 2026-10-07\nNotes: Annu al series. Meeting is a one-year proxy from the confirmed 2026 meeting\; paper timing is a two-year proxy from the last retrievable 2025 direct-su bmission CFP\, not verified 2026 timing. Host/co-location and submission mechanism require confirmation. Size is an editorial estimate.\nScope: Sc ientifically\, cognitively\, and linguistically motivated computational l anguage learning. Characteristic work concerns language acquisition\, psy cholinguistics\, grammars and meaning\, multilinguality\, language and th e brain\, and grounded language models. This is a focused scientific NLP venue rather than a generic empirical language-model benchmark conference .\nAdditional topics: Deep Representation Learning\, Multimedia Learning & Retrieval\nScope sources (2026): https://www.conll.org/2026\nScope last checked: 2026-10-07 URL:https://www.conll.org/ LOCATION:To be announced END:VEVENT BEGIN:VEVENT UID:aime-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270705 DTEND;VALUE=DATE:20270709 SUMMARY:[Healthcare & Clinical AI][Machine Learning] AIME 2027 - Conference DESCRIPTION:Conference title: International Conference on Artificial Intell igence in Medicine\nWebsite: https://aime27.aimedicine.info/\nSource URL: https://aime27.aimedicine.info/\nLocation: Amsterdam\, Netherlands\nTopi cs: Healthcare & Clinical AI\, Machine Learning\, Biomedical Imaging\, Pr obabilistic\, Causal & Uncertainty ML\nSize: M\nSubmission type: Paper-ba sed / clinical AI\nConfidence: confirmed\nLast checked date: 2026-10-05\n Notes: Official AIME 2027 pages confirm Amsterdam\, Jul 5-8 (main confere nce Jul 6-7)\, and the abstract\, paper\, and camera-ready dates\, all Ao E. URL:https://aime27.aimedicine.info/ LOCATION:Amsterdam\, Netherlands END:VEVENT BEGIN:VEVENT UID:probml-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270705 DTEND;VALUE=DATE:20270706 SUMMARY:[Probabilistic\, Causal & Uncertainty ML][Learning Theory & Statist ical Foundations] ProbML 2027 - Conference (estimated) DESCRIPTION:Conference title: Symposium on Probabilistic Machine Learning\n Website: https://probml.cc/\nSource URL: https://probml.cc/\nLocation: To be announced\nTopics: Probabilistic\, Causal & Uncertainty ML\, Learning Theory & Statistical Foundations\, Machine Learning\, Healthcare & Clini cal AI\nSize: S\nSubmission type: Paper-based / non-archival extended abs tracts\nConfidence: estimated\nLast checked date: 2026-10-07\nNotes: Form erly AABI. Recent editions recur annually\, but no official 2027 schedule was found. Meeting and submission dates project ProbML 2026 timing\; loc ation\, ICML co-location\, and the 2026 healthcare/climate application fo cus require reconfirmation. The prior fast track requires a paper accepte d elsewhere\, so it is not treated as a fresh submission route. Size S is an editorial estimate for this specialist symposium.\nScope: Probabilist ic and Bayesian machine learning\, emphasizing approximate inference\, va riational and Monte Carlo methods\, Gaussian processes\, graphical and st ate-space models\, calibration\, and decisions under uncertainty. Include s Bayesian optimization and uncertainty-aware deep learning. The reviewed 2026 application focus is healthcare and climate\; probabilistic reasoni ng remains essential to a suitable contribution.\nAdditional topics: Deep Representation Learning\, Reinforcement Learning\, Time Series & Sequent ial Data\, Robustness & Safety\nScope sources (2026): https://probml.cc/c all/\nScope last checked: 2026-10-07 URL:https://probml.cc/ LOCATION:To be announced END:VEVENT BEGIN:VEVENT UID:icml-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270706 DTEND;VALUE=DATE:20270712 SUMMARY:[Machine Learning][Learning Theory & Statistical Foundations] ICML 2027 - Conference (estimated) DESCRIPTION:Conference title: International Conference on Machine Learning\ nWebsite: https://icml.cc/Conferences/FutureMeetings\nSource URL: https:/ /icml.cc/Conferences/FutureMeetings\nLocation: South America (city to be announced)\nTopics: Machine Learning\, Learning Theory & Statistical Foun dations\, Deep Representation Learning\, Time Series & Sequential Data\nS ize: XXL\nSubmission type: Paper-based\nConfidence: estimated\nLast check ed date: 2026-10-06\nNotes: ICML confirms the 2027 region as South Americ a but has not published dates or deadlines. Dates use the 2026 edition as an annual-cadence proxy.\nScope: Methodological and theoretical machine learning\, including supervised and unsupervised learning\, deep generati ve models\, optimization\, statistical learning theory\, Bayesian methods \, and reinforcement learning. Scalable systems and trustworthy learning are established parts of the scope\; application papers should offer cont ributions of wider interest to ML.\nAdditional topics: Probabilistic\, Ca usal & Uncertainty ML\, Reinforcement Learning\, Explainability & Interpr etability\, Robustness & Safety\, ML Systems & Infrastructure\, Federated & Distributed Learning\nScope sources (2026): https://icml.cc/Conference s/2026/CallForPapers\nScope last checked: 2026-10-07 URL:https://icml.cc/Conferences/FutureMeetings LOCATION:South America (city to be announced) END:VEVENT BEGIN:VEVENT UID:rss-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270706 DTEND;VALUE=DATE:20270712 SUMMARY:[Control & Robotics][Reinforcement Learning] RSS 2027 - Conference DESCRIPTION:Conference title: Robotics: Science and Systems\nWebsite: https ://roboticsconference.org/\nSource URL: https://roboticsconference.org/\n Location: Athens\, Greece\nTopics: Control & Robotics\, Reinforcement Lea rning\, System Identification & Data-driven Dynamics\, Computer Vision & Pattern Recognition\nSize: M\nSubmission type: Paper-based\nConfidence: c onfirmed\nLast checked date: 2026-10-07\nNotes: New two-stage 2027 proces s requires a six-page initial submission by December 4\, 2026. Only autho rs invited after review may submit the April final paper\; it is not a fr esh-paper route after stage 1 closes. Size is an editorial estimate.\nSco pe: Focused robotics research linking perception\, learning\, planning\, control\, manipulation\, and robot-system science. Reinforcement and imit ation learning\, model-based behavior\, and reliable autonomous systems a re characteristic intersections. The 2027 review process emphasizes a sci entifically developed robotic hypothesis through gated initial and invite d final submissions.\nAdditional topics: Planning & Search\, Deep Represe ntation Learning\, Probabilistic\, Causal & Uncertainty ML\, Robustness & Safety\nScope sources (2027): https://roboticsconference.org/information /cfp/\nScope last checked: 2026-10-07 URL:https://roboticsconference.org/ LOCATION:Athens\, Greece END:VEVENT BEGIN:VEVENT UID:acc-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270707 DTEND;VALUE=DATE:20270710 SUMMARY:[Control & Robotics][System Identification & Data-driven Dynamics] ACC 2027 - Conference DESCRIPTION:Conference title: American Control Conference\nWebsite: https:/ /acc2027.a2c2.org/\nSource URL: https://acc2027.a2c2.org/\nLocation: Phil adelphia\, Pennsylvania\, USA\nTopics: Control & Robotics\, System Identi fication & Data-driven Dynamics\, Reinforcement Learning\nSize: XL\nSubmi ssion type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-1 0-06\nNotes: Annual AACC meeting. The firm regular-paper extension is Oct ober 2\, not the older September 25 CFP date. Later tutorial papers depen d on an accepted tutorial session and are not an unrestricted new-paper r oute. Cutoff hours use estimated end-of-day AoE. Size is an editorial cat egory. URL:https://acc2027.a2c2.org/ LOCATION:Philadelphia\, Pennsylvania\, USA END:VEVENT BEGIN:VEVENT UID:ifac-sysid-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270707 DTEND;VALUE=DATE:20270710 SUMMARY:[System Identification & Data-driven Dynamics][Control & Robotics] IFAC SYSID 2027 - Conference DESCRIPTION:Conference title: IFAC Symposium on System Identification\nWebs ite: https://conferences.ifac-control.org/sysid2027/\nSource URL: https:/ /conferences.ifac-control.org/sysid2027/\nLocation: Lyon\, France\nTopics : System Identification & Data-driven Dynamics\, Control & Robotics\, Tim e Series & Sequential Data\, Machine Learning\nSize: M\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-10-06\nNotes: Triennial TC 1.1 symposium. Regular papers\, joint journal papers\, and dissemination/discussion routes have distinct requirements\; consult the call. Published deadline days are confirmed but cutoff hours use estimate d end-of-day AoE. Size is an editorial category.\nScope: System identific ation and data-driven modeling for dynamical systems and control. Charact eristic themes include nonlinear identification\, model reduction\, ident ification software and benchmarks\, learning across systems\, and dynamic networks. Application tracks remain grounded in identifying or learning dynamical models\, rather than becoming general-purpose domain conference s.\nAdditional topics: Nonlinear Dynamics & Chaos\, Complex Systems & Net work Science\nScope sources (2027): https://conferences.ifac-control.org/ sysid2027/participate/\nScope last checked: 2026-10-07 URL:https://conferences.ifac-control.org/sysid2027/ LOCATION:Lyon\, France END:VEVENT BEGIN:VEVENT UID:uai-2027-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270709T115900Z DTEND:20270709T125900Z SUMMARY:[Probabilistic\, Causal & Uncertainty ML][Machine Learning] UAI 202 7 - Camera-ready deadline (estimated) DESCRIPTION:Conference title: Conference on Uncertainty in Artificial Intel ligence\nWebsite: https://www.auai.org/uai2026/\nSource URL: https://www. auai.org/uai2026/important_dates\nLocation: To be announced\nTopics: Prob abilistic\, Causal & Uncertainty ML\, Machine Learning\, Learning Theory & Statistical Foundations\nSize: L\nSubmission type: Paper-based\nConfide nce: estimated\nLast checked date: 2026-10-06\nNotes: Provisional 1-year cadence projection from UAI 2026. Meeting dates\, location\, and deadline s require organizer confirmation\; website and source links refer to the prior edition.\nScope: Learning and reasoning under uncertainty\, centere d on probabilistic and Bayesian modeling\, graphical models\, causal infe rence\, approximate inference\, and decision theory. Includes Monte Carlo and variational methods\, uncertainty quantification\, sequential models \, and principled analysis of learning algorithms. Uncertainty is the org anizing theme\, not just another application of general-purpose AI.\nAddi tional topics: Deep Representation Learning\, Reinforcement Learning\, Ti me Series & Sequential Data\, Explainability & Interpretability\, Robustn ess & Safety\nScope sources (2026): https://www.auai.org/uai2026/subject_ areas\, https://www.auai.org/uai2026/call_for_papers\nScope last checked: 2026-10-07 URL:https://www.auai.org/uai2026/important_dates END:VEVENT BEGIN:VEVENT UID:cns-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270710 DTEND;VALUE=DATE:20270715 SUMMARY:[Computational Neuroscience][Time Series & Sequential Data] CNS* 20 27 - Conference DESCRIPTION:Conference title: Computational Neuroscience Annual Meeting\nWe bsite: https://www.cnsorg.org/\nSource URL: https://www.cnsorg.org/index. php?Itemid=135&id=54&option=com_content&view=article\nLocation: Gran Cana ria\, Spain\nTopics: Computational Neuroscience\, Time Series & Sequentia l Data\, Machine Learning\nSize: M\nSubmission type: Abstract-based\nConf idence: confirmed\nLast checked date: 2026-10-06\nNotes: OCNS confirms Gr an Canaria\, Jul 10-14. Abstract deadline remains a prior-edition timing estimate. URL:https://www.cnsorg.org/index.php?Itemid=135&id=54&option=com_content&vi ew=article LOCATION:Gran Canaria\, Spain END:VEVENT BEGIN:VEVENT UID:ieee-embc-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270711 DTEND;VALUE=DATE:20270716 SUMMARY:[Healthcare & Clinical AI][Signal Processing] IEEE EMBC 2027 - Conf erence DESCRIPTION:Conference title: IEEE Engineering in Medicine and Biology Conf erence\nWebsite: https://embc.embs.org/2027/\nSource URL: https://embc.em bs.org/2027/\nLocation: Singapore\nTopics: Healthcare & Clinical AI\, Sig nal Processing\, EEG/MEG & Neural Signals\, BCI & Neurotechnology\nSize: XL\nSubmission type: Paper-based / broad applied venue\nConfidence: confi rmed\nLast checked date: 2026-10-06\nNotes: Organizer confirms Singapore\ , Jul 11-15\, and Jan 24 full-paper/Apr 23 poster deadlines. Cutoff hour/ timezone is not specified\; 23:59 AoE is a provisional ordering time\; th e official deadline days are confirmed. URL:https://embc.embs.org/2027/ LOCATION:Singapore END:VEVENT BEGIN:VEVENT UID:gecco-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270712 DTEND;VALUE=DATE:20270717 SUMMARY:[Evolutionary Computation & Optimization][Machine Learning] GECCO 2 027 - Conference DESCRIPTION:Conference title: Genetic and Evolutionary Computation Conferen ce\nWebsite: https://gecco-2027.sigevo.org/HomePage\nSource URL: https:// gecco-2027.sigevo.org/HomePage\nLocation: Krakow\, Poland\nTopics: Evolut ionary Computation & Optimization\, Machine Learning\, Complex Systems & Network Science\nSize: L\nSubmission type: Paper-based / poster papers\nC onfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Organizer con firms Krakow\, Jul 12-16\, in person. The 2027 CFP still contains copied 2026 venue/deadline text\; do not treat it as a confirmed 2027 submission schedule. Deadlines use 2026 timing as an estimated annual proxy. Poster -only submissions are separate from the gated full-paper route. Size L is an editorial estimate\; no attendance count is asserted.\nScope: Genetic and evolutionary computation\, including genetic algorithms\, genetic pr ogramming\, swarm intelligence\, evolutionary multiobjective and combinat orial optimization\, metaheuristics\, and neuroevolution. Machine learnin g is relevant through evolutionary learning and optimization\, not as an unrestricted substitute for the conference's evolutionary-computation foc us.\nAdditional topics: Deep Representation Learning\, Learning Theory & Statistical Foundations\nScope sources (2026): https://gecco-2027.sigevo. org/Call+for+Papers\nScope last checked: 2026-10-07 URL:https://gecco-2027.sigevo.org/HomePage LOCATION:Krakow\, Poland END:VEVENT BEGIN:VEVENT UID:itise-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270714 DTEND;VALUE=DATE:20270717 SUMMARY:[Time Series & Sequential Data][Machine Learning] ITISE 2027 - Conf erence (estimated) DESCRIPTION:Conference title: International Conference on Time Series and F orecasting\nWebsite: https://itise.ugr.es/index.html\nSource URL: https:/ /itise.ugr.es/index.html\nLocation: Gran Canaria\, Spain\nTopics: Time Se ries & Sequential Data\, Machine Learning\, Data Mining & Data Science\, Learning Theory & Statistical Foundations\nSize: M\nSubmission type: Pape r-based / forecasting-focused\nConfidence: estimated\nLast checked date: 2026-10-06\nNotes: Official ITISE 2027 page lists Gran Canaria\, Jul 14-1 6\, and Jan 15 paper/abstract submission. Its timeline is explicitly prov isional in the source and deadlines may be extended. The cutoff hour/time zone is unannounced\; 23:59 Canary time is only a calendar proxy. Retain estimated confidence pending a finalized CFP. URL:https://itise.ugr.es/index.html LOCATION:Gran Canaria\, Spain END:VEVENT BEGIN:VEVENT UID:midl-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270714 DTEND;VALUE=DATE:20270717 SUMMARY:[Biomedical Imaging][Deep Representation Learning] MIDL 2027 - Conf erence DESCRIPTION:Conference title: Medical Imaging with Deep Learning\nWebsite: https://2027.midl.io/\nSource URL: https://2027.midl.io/important-dates\n Location: Porto\, Portugal\nTopics: Biomedical Imaging\, Deep Representat ion Learning\, Healthcare & Clinical AI\nSize: M\nSubmission type: Paper- based\nConfidence: confirmed\nLast checked date: 2026-10-06\nNotes: Offic ial 2027 dates page confirms the July meeting\, full-paper registration a nd submission\, and camera-ready dates. Short-paper submission is still T BD.\nScope: Deep learning for biomedical image analysis\, especially segm entation\, detection\, reconstruction\, registration\, generative imaging \, and learning from limited labels. Uncertainty\, interpretability\, mul ti-site learning\, robustness\, and clinical validation extend that imagi ng core. Multimodal foundation models are relevant when grounded in medic al imaging.\nAdditional topics: Computer Vision & Pattern Recognition\, P robabilistic\, Causal & Uncertainty ML\, Explainability & Interpretabilit y\, Robustness & Safety\, Federated & Distributed Learning\nScope sources (2026): https://2026.midl.io/call-for-papers\nScope last checked: 2026-1 0-07 URL:https://2027.midl.io/important-dates LOCATION:Porto\, Portugal END:VEVENT BEGIN:VEVENT UID:ieee-cdc-2027-deadline-notification@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270715 DTEND;VALUE=DATE:20270716 SUMMARY:[Control & Robotics][System Identification & Data-driven Dynamics] IEEE CDC 2027 - Acceptance notification (cutoff time unannounced) DESCRIPTION:Conference title: IEEE Conference on Decision and Control\nWebs ite: https://cdc2027.ieeecss.org/\nSource URL: https://cdc2027.ieeecss.or g/authors/call-for-papers\nLocation: Lisbon\, Portugal\nTopics: Control & Robotics\, System Identification & Data-driven Dynamics\, Nonlinear Dyna mics & Chaos\, Reinforcement Learning\nSize: XL\nSubmission type: Paper-b ased\nConfidence: confirmed\nLast checked date: 2026-10-06\nNotes: Offici al future edition in Lisbon\; main meeting excludes December 13 workshops . Deadline days and opening day published\; exact cutoff hours use estima ted end-of-day AoE. Size is an editorial category.\nOfficial deadline day \; exact cutoff hour/timezone is unannounced. Verify the organizer's subm ission portal. URL:https://cdc2027.ieeecss.org/authors/call-for-papers END:VEVENT BEGIN:VEVENT UID:sigir-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270718 DTEND;VALUE=DATE:20270725 SUMMARY:[Information Retrieval & Search][Recommender Systems] SIGIR 2027 - Conference DESCRIPTION:Conference title: ACM International Conference on Research and Development in Information Retrieval\nWebsite: https://sigir2027.org/\nSo urce URL: https://sigir2027.org/\nLocation: San Jose\, California\, USA\n Topics: Information Retrieval & Search\, Recommender Systems\, Natural La nguage Processing & LLMs\, Machine Learning\nSize: XL\nSubmission type: P aper-based\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Homepage confirms July 18-24 conference week (title says July 19-24). CFP explicitly labels the deadline table PROPOSED\; retain estimated deadlin es rather than presenting these as finalized cutoffs. Mandatory abstract gate. Size is an editorial estimate.\nScope: Information access\, search and ranking\, query and content understanding\, recommendation\, conversa tional and multimodal retrieval\, and evaluation of retrieval systems. Le arning and language models are relevant through an information-retrieval contribution\, including retrieval-augmented generation. The 2027 detaile d track pages contain organizer placeholders\; scope should be rechecked when finalized.\nAdditional topics: Multimedia Learning & Retrieval\, Hum an-AI Interaction & Deployment\, Fairness & Responsible AI\, ML Systems & Infrastructure\nScope sources (2027): https://sigir2027.org/pages/submit -full.html\nScope last checked: 2026-10-07 URL:https://sigir2027.org/ LOCATION:San Jose\, California\, USA END:VEVENT BEGIN:VEVENT UID:alife-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270719 DTEND;VALUE=DATE:20270724 SUMMARY:[Artificial Life & Adaptive Systems][Complex Systems & Network Scie nce] ALIFE 2027 - Conference DESCRIPTION:Conference title: International Conference on Artificial Life\n Website: https://alife.vscht.cz/\nSource URL: https://alife.vscht.cz/\nLo cation: Prague\, Czech Republic\nTopics: Artificial Life & Adaptive Syste ms\, Complex Systems & Network Science\, Evolutionary Computation & Optim ization\, Cognitive Science & Computational Cognition\nSize: L\nSubmissio n type: Full papers + non-archival abstracts\nConfidence: confirmed\nLast checked date: 2026-10-08\nNotes: Organizer confirms July 19-23 in Prague \, but the 2027 call is not announced. The full-paper cutoff is a one-yea r proxy from the original 2026 March 30 deadline\, not its extension. No late-breaking abstract date is copied because the meeting has moved earli er. Size is an editorial estimate.\nScope: Artificial life and life-like processes in computational\, robotic and biological systems. Central ques tions concern emergence\, evolution\, adaptation\, embodied intelligence and cognition. Relevant ML work studies adaptive agents\, evolutionary le arning and computational models of living systems\; it is not a general-p urpose AI conference.\nAdditional topics: Autonomous Agents & Multiagent Systems\, Control & Robotics\, Machine Learning\nScope sources (2026): ht tps://2026.alife.org/call-for-papers/\, https://alife.org/conference/alif e-2027/\nScope last checked: 2026-10-08 URL:https://alife.vscht.cz/ LOCATION:Prague\, Czech Republic END:VEVENT BEGIN:VEVENT UID:dynamics-days-europe-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270719 DTEND;VALUE=DATE:20270725 SUMMARY:[Nonlinear Dynamics & Chaos][Complex Systems & Network Science] Dyn amics Days Europe 2027 - Conference (estimated) DESCRIPTION:Conference title: Dynamics Days Europe\nWebsite: https://www.dy namicsdays.org/\nSource URL: https://www.dynamicsdays.org/\nLocation: To be announced\nTopics: Nonlinear Dynamics & Chaos\, Complex Systems & Netw ork Science\, Time Series & Sequential Data\, System Identification & Dat a-driven Dynamics\nSize: L\nSubmission type: Abstract-based\nConfidence: estimated\nLast checked date: 2026-10-08\nNotes: Unannounced next annual edition. Meeting dates and the contributed abstract deadline are one-year proxies from 2026\, with no assumed host location. Size is an editorial estimate.\nScope: Theory and applications of nonlinear dynamics: chaos\, bifurcations\, synchronization\, pattern formation\, complex networks\, s tochastic dynamics and time-series analysis. ML and neurodynamics are cha racteristic interdisciplinary extensions. Contributed talks and posters u se abstracts\, while minisymposium proposals are organizer activity.\nAdd itional topics: Machine Learning\, Computational Neuroscience\, Control & Robotics\, Graphs & Graph Learning\nScope sources (2026): https://dde-20 26.sci-meet.net/abstract-submission-2\nScope last checked: 2026-10-08 URL:https://www.dynamicsdays.org/ LOCATION:To be announced END:VEVENT BEGIN:VEVENT UID:kr-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270720 DTEND;VALUE=DATE:20270724 SUMMARY:[Knowledge Representation & Reasoning][Explainability & Interpretab ility] KR 2027 - Conference (estimated) DESCRIPTION:Conference title: International Conference on Principles of Kno wledge Representation and Reasoning\nWebsite: https://kr.org/\nSource URL : https://kr.org/\nLocation: Buenos Aires\, Argentina\nTopics: Knowledge Representation & Reasoning\, Explainability & Interpretability\nSize: M\n Submission type: Paper-based / formal and symbolic AI\nConfidence: estima ted\nLast checked date: 2026-10-07\nNotes: KR Inc. announces Buenos Aires for its 2027 edition\, but no exact meeting or submission dates were fou nd. July meeting dates and February submission deadlines are annual proxi es from KR 2026\, not organizer announcements. The 2026 ML and Explanatio n track informs the scope profile but is not assumed to be a confirmed 20 27 track. M is an editorial estimate.\nScope: Formal and symbolic AI cent ered on representing knowledge and drawing justified conclusions: knowled ge bases\, description and non-classical logics\, ontologies\, non-monoto nic reasoning\, argumentation\, belief revision\, and reasoning about act ions. Learning\, uncertainty\, and explanations matter when grounded in k nowledge representation or reasoning. The last published CFP includes a K R Meets Machine Learning and Explanation track\; this is not a general-pu rpose ML conference or a confirmed promise of that 2027 track.\nAdditiona l topics: Machine Learning\, Probabilistic\, Causal & Uncertainty ML\, Pl anning & Search\nScope sources (2026): https://kr.org/KR2026/call_main_tr ack.html\, https://kr.org/KR2026/\nScope last checked: 2026-10-07 URL:https://kr.org/ LOCATION:Buenos Aires\, Argentina END:VEVENT BEGIN:VEVENT UID:ais-2027-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270723T115900Z DTEND:20270723T125900Z SUMMARY:[Machine Learning][Data Mining & Data Science] AIS 2027 (formerly L OD) - Second-batch paper submission deadline (estimated) DESCRIPTION:Conference title: Artificial Intelligence Symposium (formerly L OD)\nWebsite: https://ais2026.icas.events/\nSource URL: https://ais2026.i cas.events/\nLocation: TBD\nTopics: Machine Learning\, Data Mining & Data Science\, Learning Theory & Statistical Foundations\, Time Series & Sequ ential Data\nSize: M\nSubmission type: Paper-based / Springer proceedings \nConfidence: estimated\nLast checked date: 2026-10-06\nNotes: AIS's offi cial 2026 site describes the renamed series as annual. The 2027 meeting a nd submission dates are estimates preserving the 2026 weekdays and early batch lead times\; no 2027 CFP or venue is yet published. URL:https://ais2026.icas.events/ END:VEVENT BEGIN:VEVENT UID:ccn-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270726 DTEND;VALUE=DATE:20270730 SUMMARY:[Computational Neuroscience][Deep Representation Learning] CCN 2027 - Conference DESCRIPTION:Conference title: Conference on Cognitive Computational Neurosc ience\nWebsite: https://2027.ccneuro.org/\nSource URL: https://2027.ccneu ro.org/\nLocation: Edinburgh\, United Kingdom\nTopics: Computational Neur oscience\, Deep Representation Learning\, Neuroimaging & Brain Mapping\, Machine Learning\nSize: M\nSubmission type: Mixed: proceedings + extended abstracts\nConfidence: confirmed\nLast checked date: 2026-10-06\nNotes: CCN confirms Edinburgh\, Jul 26-29. Submission dates remain prior-edition timing estimates until the 2027 CFP is released.\nScope: Cognitive compu tational neuroscience\, connecting experiments and models of brain comput ation with artificial intelligence. Characteristic work compares biologic al and artificial representations\, models perception\, cognition and act ion\, studies neural connectivity and dynamics\, and uses mechanistic int erpretability to understand neural-network models. The aim is understandi ng computation and behavior across brains and AI systems.\nAdditional top ics: Cognitive Science & Computational Cognition\, Explainability & Inter pretability\nScope sources (2027): https://2027.ccneuro.org/\nScope last checked: 2026-10-07 URL:https://2027.ccneuro.org/ LOCATION:Edinburgh\, United Kingdom END:VEVENT BEGIN:VEVENT UID:cogsci-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270728 DTEND;VALUE=DATE:20270801 SUMMARY:[Cognitive Science & Computational Cognition][Computational Neurosc ience] CogSci 2027 - Conference DESCRIPTION:Conference title: Annual Meeting of the Cognitive Science Socie ty\nWebsite: https://cognitivesciencesociety.org/cogsci-2027/\nSource URL : https://cognitivesciencesociety.org/cogsci-2027/\nLocation: Bilbao\, Sp ain\nTopics: Cognitive Science & Computational Cognition\, Computational Neuroscience\, Machine Learning\, Natural Language Processing & LLMs\nSiz e: L\nSubmission type: Paper-based / abstract presentations\nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Society confirms Bilbao\ , Euskalduna Convention Centre\, Jul 28-31. No 2027 submission timetable found. The paper deadline is a Feb 2 proxy from the prior annual meeting\ ; the cutoff hour and submission tracks need reconfirmation. Size L is an editorial estimate.\nScope: Interdisciplinary study of cognition and the mind\, connecting psychology\, linguistics\, artificial intelligence\, n euroscience\, philosophy\, anthropology\, and education. Computational mo dels and experiments should illuminate cognitive processes and behavior. An AI paper belongs here through its contribution to understanding cognit ion\, not solely through a predictive performance improvement.\nAdditiona l topics: \nScope sources (2026): https://cognitivesciencesociety.org/sub missions-faq/\, https://cognitivesciencesociety.org/\nScope last checked: 2026-10-07 URL:https://cognitivesciencesociety.org/cogsci-2027/ LOCATION:Bilbao\, Spain END:VEVENT BEGIN:VEVENT UID:automl-2027-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270731T115900Z DTEND:20270731T125900Z SUMMARY:[Machine Learning][Evolutionary Computation & Optimization] AutoML 2027 - Camera-ready deadline (estimated) DESCRIPTION:Conference title: International Conference on Automated Machine Learning\nWebsite: https://2026.automl.cc/\nSource URL: https://2026.aut oml.cc/dates/\nLocation: To be announced\nTopics: Machine Learning\, Evol utionary Computation & Optimization\, Deep Representation Learning\, Lear ning Theory & Statistical Foundations\nSize: M\nSubmission type: Paper-ba sed\nConfidence: estimated\nLast checked date: 2026-10-07\nNotes: No offi cial 2027 schedule found. Annual meeting and main-track deadlines are pro jections from AutoML 2026\; location is unannounced and links refer to pr ior editions. ABCD covers applications\, benchmarks\, challenges\, and da tasets. Size M is an editorial estimate for this specialist conference.\n Scope: Automating the construction and configuration of learning systems: hyperparameter optimization\, Bayesian optimization\, neural architectur e search\, model selection\, meta-learning\, and pipeline automation. Inc ludes evolutionary and reinforcement-learning approaches\, AutoML for fou ndation models\, and evaluation through applications\, benchmarks\, chall enges\, and datasets. Trustworthiness matters specifically in automated M L workflows.\nAdditional topics: Probabilistic\, Causal & Uncertainty ML\ , Reinforcement Learning\, Explainability & Interpretability\, Natural La nguage Processing & LLMs\, Robustness & Safety\nScope sources (2026): htt ps://2026.automl.cc/call-for-papers/\nScope last checked: 2026-10-07 URL:https://2026.automl.cc/dates/ END:VEVENT BEGIN:VEVENT UID:kdd-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270801 DTEND;VALUE=DATE:20270806 SUMMARY:[Data Mining & Data Science][Machine Learning] KDD 2027 - Conferenc e DESCRIPTION:Conference title: ACM SIGKDD Conference on Knowledge Discovery and Data Mining\nWebsite: https://kdd2027.kdd.org/\nSource URL: https://k dd2027.kdd.org/\nLocation: San Jose\, California\, USA\nTopics: Data Mini ng & Data Science\, Machine Learning\, Time Series & Sequential Data\, Fe derated & Distributed Learning\nSize: XL\nSubmission type: Paper-based / mixed tracks\nConfidence: confirmed\nLast checked date: 2026-10-06\nNotes : Official site confirms San Jose\, Aug 1-5. The first research-track cyc le closed in July 2026. A February 2027 cycle is announced but exact date s are still TBA\; the February abstract/paper dates here are estimated fr om 2026.\nScope: Knowledge discovery and data science\, centered on extra cting useful structure from large\, heterogeneous data. Characteristic ar eas include clustering\, structured and relational learning\, graph and t ext mining\, recommender systems\, scalable data analysis\, and responsib le data use. Generative AI is relevant when it advances data science\, no t simply because a paper uses an LLM.\nAdditional topics: Deep Representa tion Learning\, Natural Language Processing & LLMs\, Explainability & Int erpretability\, Privacy-preserving ML\, ML Systems & Infrastructure\nScop e sources (2027): https://kdd2027.kdd.org/research-track-call-for-papers/ \nScope last checked: 2026-10-07 URL:https://kdd2027.kdd.org/ LOCATION:San Jose\, California\, USA END:VEVENT BEGIN:VEVENT UID:ijcb-2027-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20270803T115900Z DTEND:20270803T125900Z SUMMARY:[Biometrics & Human Sensing][Computer Vision & Pattern Recognition] IJCB 2027 - Camera-ready and author registration deadline DESCRIPTION:Conference title: IEEE/IAPR International Joint Conference on B iometrics\nWebsite: https://ijcb2027.ieee-biometrics.org/\nSource URL: ht tps://ijcb2027.ieee-biometrics.org/important-dates/\nLocation: Foz do Igu acu\, Brazil\nTopics: Biometrics & Human Sensing\, Computer Vision & Patt ern Recognition\, Deep Representation Learning\, Privacy-preserving ML\nS ize: M\nSubmission type: Paper-based / biometrics and identity science\nC onfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official 2027 CFP confirms Foz do Iguacu\, September 13-17\, March 15 submission openi ng\, and April 9 paper cutoff\; its date table specifies 23:59 AoE for al l dates. IJCB combines BTAS and ICB\; do not create duplicate rows or inh erit a distinct predecessor's rankings. M is an editorial estimate.\nScop e: Biometrics and identity science across face\, fingerprint\, iris\, voi ce\, gait\, and behavioral modalities. Defining concerns include recognit ion and verification\, multimodal fusion\, presentation-attack and deepfa ke detection\, biometric template security\, privacy\, demographic fairne ss\, and rigorous benchmarking. Learned representations and foundation mo dels are important methods\; federated learning belongs here through secu re biometric systems. Healthcare\, banking\, and robotics are application s\, not blanket scope tags.\nAdditional topics: Machine Learning\, Robust ness & Safety\, Fairness & Responsible AI\, Explainability & Interpretabi lity\, Federated & Distributed Learning\, Signal Processing\nScope source s (2027): https://ijcb2027.ieee-biometrics.org/call-for-papers/\nScope la st checked: 2026-10-07 URL:https://ijcb2027.ieee-biometrics.org/important-dates/ END:VEVENT BEGIN:VEVENT UID:ijcai-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270807 DTEND;VALUE=DATE:20270814 SUMMARY:[Machine Learning][Deep Representation Learning] IJCAI 2027 - Confe rence DESCRIPTION:Conference title: International Joint Conference on Artificial Intelligence\nWebsite: https://2027.ijcai.org/\nSource URL: https://2027. ijcai.org/\nLocation: Kyoto\, Japan\nTopics: Machine Learning\, Deep Repr esentation Learning\, Learning Theory & Statistical Foundations\, Fairnes s & Responsible AI\nSize: XL\nSubmission type: Paper-based\nConfidence: c onfirmed\nLast checked date: 2026-10-06\nNotes: Official IJCAI 2027 site confirms the Kyoto main meeting Aug 7-13 and Jan 4 abstract/Jan 11 paper deadlines\, all 23:59 AoE. A separate Hengqin satellite event is not dupl icated as a main conference. URL:https://2027.ijcai.org/ LOCATION:Kyoto\, Japan END:VEVENT BEGIN:VEVENT UID:acm-siggraph-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270808 DTEND;VALUE=DATE:20270813 SUMMARY:[Computer Graphics & Visualization][Machine Learning] ACM SIGGRAPH 2027 - Conference DESCRIPTION:Conference title: ACM SIGGRAPH Annual Conference\nWebsite: http s://s2027.siggraph.org/\nSource URL: https://www.siggraph.org/siggraph-ev ents/conferences/\nLocation: Anaheim\, California\, USA\nTopics: Computer Graphics & Visualization\, Machine Learning\, Computer Vision & Pattern Recognition\nSize: XXL\nSubmission type: Technical papers / conference an d ACM TOG tracks\nConfidence: confirmed\nLast checked date: 2026-10-07\nN otes: ACM SIGGRAPH confirms Anaheim\, August 8-12\, 2027. The technical-p aper schedule remains an annual proxy from the 2026 CFP's explicit 22:00 UTC cutoffs. The later file upload is not a new paper route. This is SIGG RAPH\, not SIGGRAPH Asia\; ranks refer to the conference series\, not the TOG journal. XXL is an editorial estimate for the overall conference and exhibition.\nScope: Computer graphics and interactive techniques\, cente red on rendering\, geometric modeling\, animation\, physical simulation\, imaging\, visualization\, and immersive visual experiences. Generative A I and machine learning are relevant when they advance visual computing\, such as neural rendering and learned animation. Technical papers use inte grated conference and ACM TOG journal tracks\; this profile does not desc ribe SIGGRAPH Asia or all of AI.\nAdditional topics: Deep Representation Learning\, Human-AI Interaction & Deployment\nScope sources (2026): https ://s2026.siggraph.org/program/technical-papers/\nScope last checked: 2026 -10-07 URL:https://www.siggraph.org/siggraph-events/conferences/ LOCATION:Anaheim\, California\, USA END:VEVENT BEGIN:VEVENT UID:mlhc-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270811 DTEND;VALUE=DATE:20270814 SUMMARY:[Healthcare & Clinical AI][Machine Learning] MLHC 2027 - Conference DESCRIPTION:Conference title: Machine Learning for Healthcare Conference\nW ebsite: https://mlhc.org/\nSource URL: https://mlhc.org/\nLocation: Zuric h\, Switzerland\nTopics: Healthcare & Clinical AI\, Machine Learning\, Ti me Series & Sequential Data\, Explainability & Interpretability\nSize: M\ nSubmission type: Paper-based\nConfidence: confirmed\nLast checked date: 2026-10-06\nNotes: MLHC confirms Aug 11-13 at ETH Zurich. Submission date remains a 2026 timing proxy until organizers publish the 2027 call. URL:https://mlhc.org/ LOCATION:Zurich\, Switzerland END:VEVENT BEGIN:VEVENT UID:acl-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270817 DTEND;VALUE=DATE:20270823 SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] ACL 2027 - Conference DESCRIPTION:Conference title: Annual Meeting of the Association for Computa tional Linguistics\nWebsite: https://2027.aclweb.org/\nSource URL: https: //2027.aclweb.org/\nLocation: Kyoto\, Japan\nTopics: Natural Language Pro cessing & LLMs\, Deep Representation Learning\, LLM Agents & Tool Use\, I nformation Retrieval & Search\nSize: XXL\nSubmission type: Paper-based\nC onfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official site confirms Kyoto\, August 17-22 and January 4 ARR cutoff at 23:59 AoE. Mai n sessions August 20-22\; tutorials/workshops earlier. Commitment dates a re unannounced. Size is an editorial estimate.\nScope: Computational ling uistics and language processing: language modeling\, linguistic structure \, multilinguality and translation\, generation\, dialogue\, resources\, and evaluation. Language-grounded agent and retrieval work is relevant. T he 2027 theme examines homogenization and knowledge collapse in LLMs. A l anguage contribution remains central\; general medical or robotics applic ations do not make this a specialist venue.\nAdditional topics: Cognitive Science & Computational Cognition\, Explainability & Interpretability\, Fairness & Responsible AI\, Human-AI Interaction & Deployment\, Knowledge Representation & Reasoning\nScope sources (2027): https://2027.aclweb.or g/calls/main/\nScope last checked: 2026-10-07 URL:https://2027.aclweb.org/ LOCATION:Kyoto\, Japan END:VEVENT BEGIN:VEVENT UID:uai-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270817 DTEND;VALUE=DATE:20270822 SUMMARY:[Probabilistic\, Causal & Uncertainty ML][Machine Learning] UAI 202 7 - Conference (estimated) DESCRIPTION:Conference title: Conference on Uncertainty in Artificial Intel ligence\nWebsite: https://www.auai.org/uai2026/\nSource URL: https://www. auai.org/uai2026/\nLocation: To be announced\nTopics: Probabilistic\, Cau sal & Uncertainty ML\, Machine Learning\, Learning Theory & Statistical F oundations\nSize: L\nSubmission type: Paper-based\nConfidence: estimated\ nLast checked date: 2026-10-06\nNotes: Provisional 1-year cadence project ion from UAI 2026. Meeting dates\, location\, and deadlines require organ izer confirmation\; website and source links refer to the prior edition.\ nScope: Learning and reasoning under uncertainty\, centered on probabilis tic and Bayesian modeling\, graphical models\, causal inference\, approxi mate inference\, and decision theory. Includes Monte Carlo and variationa l methods\, uncertainty quantification\, sequential models\, and principl ed analysis of learning algorithms. Uncertainty is the organizing theme\, not just another application of general-purpose AI.\nAdditional topics: Deep Representation Learning\, Reinforcement Learning\, Time Series & Seq uential Data\, Explainability & Interpretability\, Robustness & Safety\nS cope sources (2026): https://www.auai.org/uai2026/subject_areas\, https:/ /www.auai.org/uai2026/call_for_papers\nScope last checked: 2026-10-07 URL:https://www.auai.org/uai2026/ LOCATION:To be announced END:VEVENT BEGIN:VEVENT UID:recsys-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270823 DTEND;VALUE=DATE:20270828 SUMMARY:[Recommender Systems][Machine Learning] RecSys 2027 - Conference DESCRIPTION:Conference title: ACM Conference on Recommender Systems\nWebsit e: https://recsys.acm.org/recsys27/\nSource URL: https://recsys.acm.org/r ecsys27/\nLocation: Honolulu\, Hawaii\, USA\nTopics: Recommender Systems\ , Machine Learning\, Information Retrieval & Search\, Human-AI Interactio n & Deployment\nSize: L\nSubmission type: Paper-based\nConfidence: confir med\nLast checked date: 2026-10-07\nNotes: 2027 Hawaii meeting is confirm ed. Main-track deadlines are one-year proxies from 2026\; long and short papers shared the same abstract gate in that edition. Do not infer a spec ial twentieth-anniversary track for 2027. Size is an editorial estimate.\ nScope: Recommendation and personalization: user-item modeling\, collabor ative and content-based methods\, sequential and conversational recommend ation\, evaluation\, and deployed recommendation systems. Human and econo mic impacts matter alongside algorithms. Sequential data is relevant spec ifically through recommendation behavior\; this is not a general forecast ing conference.\nAdditional topics: Time Series & Sequential Data\, Natur al Language Processing & LLMs\, Fairness & Responsible AI\, Explainabilit y & Interpretability\nScope sources (2026): https://recsys.acm.org/recsys 26/call/\nScope last checked: 2026-10-07 URL:https://recsys.acm.org/recsys27/ LOCATION:Honolulu\, Hawaii\, USA END:VEVENT BEGIN:VEVENT UID:interspeech-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270829 DTEND;VALUE=DATE:20270903 SUMMARY:[Signal Processing][Machine Learning] Interspeech 2027 - Conference DESCRIPTION:Conference title: Annual Conference of the International Speech Communication Association\nWebsite: https://interspeech2027.org/\nSource URL: https://interspeech2027.org/\nLocation: Sao Paulo\, Brazil\nTopics: Signal Processing\, Machine Learning\, Deep Representation Learning\, Na tural Language Processing & LLMs\nSize: XL\nSubmission type: Paper-based / interactive demonstration papers\nConfidence: confirmed\nLast checked d ate: 2026-10-07\nNotes: Organizer and ISCA confirm Sao Paulo\, Aug 29-Sep 2. Regular paper\, update\, and camera-ready days are announced without an exact cutoff\; AoE is provisional for those date-only events. Show & T ell explicitly uses 23:59 AoE and requires a two-page paper\, video\, and interactive demonstration. The Feb 16 update is not a fresh submission r oute. XL reflects the official description of more than 2\,000 annual att endees\; the ICORE rank and historical acceptance fields describe the mai n conference\, not its demonstration track.\nScope: Speech science and sp eech technology\, linking spoken-language research with computational met hods for speech recognition\, speech synthesis\, and speech communication . Machine learning and language models are relevant through speech and sp oken-language problems. The current 2027 overview emphasizes the relation ship between speech research and spoken-language technologies.\nAdditiona l topics: \nScope sources (2027): https://interspeech2027.org/\nScope las t checked: 2026-10-07 URL:https://interspeech2027.org/ LOCATION:Sao Paulo\, Brazil END:VEVENT BEGIN:VEVENT UID:ecml-pkdd-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270830 DTEND;VALUE=DATE:20270904 SUMMARY:[Machine Learning][Data Mining & Data Science] ECML PKDD 2027 - Con ference DESCRIPTION:Conference title: European Conference on Machine Learning and P rinciples and Practice of Knowledge Discovery in Databases\nWebsite: http s://ecmlpkdd.org/2027/\nSource URL: https://ecmlpkdd.org/2027/\nLocation: Eindhoven\, Netherlands\nTopics: Machine Learning\, Data Mining & Data S cience\, Time Series & Sequential Data\, Explainability & Interpretabilit y\nSize: L\nSubmission type: Paper-based / mixed tracks\nConfidence: conf irmed\nLast checked date: 2026-10-06\nNotes: Official 2027 page confirms Eindhoven and Aug 30-Sep 3. Paper deadlines are provisional 2026 timing p roxies and need CFP confirmation. URL:https://ecmlpkdd.org/2027/ LOCATION:Eindhoven\, Netherlands END:VEVENT BEGIN:VEVENT UID:eusipco-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270830 DTEND;VALUE=DATE:20270904 SUMMARY:[Signal Processing][Machine Learning] EUSIPCO 2027 - Conference DESCRIPTION:Conference title: European Signal Processing Conference\nWebsit e: https://eusipco2027.de/\nSource URL: https://eusipco2027.de/\nLocation : Darmstadt\, Germany\nTopics: Signal Processing\, Machine Learning\, Tim e Series & Sequential Data\, Computer Vision & Pattern Recognition\nSize: XL\nSubmission type: Paper-based\nConfidence: confirmed\nLast checked da te: 2026-10-06\nNotes: EUSIPCO 2027 confirms Darmstadt\, Aug 30-Sep 3\, a nd Feb 6 paper deadline. The cutoff hour/timezone is unspecified\; 23:59 local is only a calendar proxy. URL:https://eusipco2027.de/ LOCATION:Darmstadt\, Germany END:VEVENT BEGIN:VEVENT UID:ieee-ner-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270907 DTEND;VALUE=DATE:20270911 SUMMARY:[BCI & Neurotechnology][EEG/MEG & Neural Signals] IEEE NER 2027 - C onference DESCRIPTION:Conference title: International IEEE EMBS Conference on Neural Engineering\nWebsite: https://ieee-ner.org/\nSource URL: https://ieee-ner .org/\nLocation: Milan\, Italy\nTopics: BCI & Neurotechnology\, EEG/MEG & Neural Signals\, Signal Processing\, Healthcare & Clinical AI\nSize: M\n Submission type: Paper-based / engineering-focused\nConfidence: confirmed \nLast checked date: 2026-10-06\nNotes: The official IEEE EMBS announceme nt confirms Milan\, Sep 7-10\, 2027. Submission dates are estimates using the 2025 CFP lead times before the meeting\; the 2027 CFP is not yet pub lished. URL:https://ieee-ner.org/ LOCATION:Milan\, Italy END:VEVENT BEGIN:VEVENT UID:ieee-mlsp-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270913 DTEND;VALUE=DATE:20270917 SUMMARY:[Machine Learning][Signal Processing] IEEE MLSP 2027 - Conference DESCRIPTION:Conference title: IEEE International Workshop on Machine Learni ng for Signal Processing\nWebsite: https://signalprocessingsociety.org/ta gs/mlsp-2027\nSource URL: https://signalprocessingsociety.org/tags/mlsp-2 027\nLocation: Uppsala\, Sweden\nTopics: Machine Learning\, Signal Proces sing\, Time Series & Sequential Data\nSize: M\nSubmission type: Paper-bas ed / workshop-style conference\nConfidence: confirmed\nLast checked date: 2026-10-06\nNotes: IEEE SPS confirms Uppsala\, Sep 13-16. Paper deadline remains an estimated 2026 timing proxy until the 2027 CFP appears. URL:https://signalprocessingsociety.org/tags/mlsp-2027 LOCATION:Uppsala\, Sweden END:VEVENT BEGIN:VEVENT UID:ijcb-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270913 DTEND;VALUE=DATE:20270918 SUMMARY:[Biometrics & Human Sensing][Computer Vision & Pattern Recognition] IJCB 2027 - Conference DESCRIPTION:Conference title: IEEE/IAPR International Joint Conference on B iometrics\nWebsite: https://ijcb2027.ieee-biometrics.org/\nSource URL: ht tps://ijcb2027.ieee-biometrics.org/important-dates/\nLocation: Foz do Igu acu\, Brazil\nTopics: Biometrics & Human Sensing\, Computer Vision & Patt ern Recognition\, Deep Representation Learning\, Privacy-preserving ML\nS ize: M\nSubmission type: Paper-based / biometrics and identity science\nC onfidence: confirmed\nLast checked date: 2026-10-07\nNotes: Official 2027 CFP confirms Foz do Iguacu\, September 13-17\, March 15 submission openi ng\, and April 9 paper cutoff\; its date table specifies 23:59 AoE for al l dates. IJCB combines BTAS and ICB\; do not create duplicate rows or inh erit a distinct predecessor's rankings. M is an editorial estimate.\nScop e: Biometrics and identity science across face\, fingerprint\, iris\, voi ce\, gait\, and behavioral modalities. Defining concerns include recognit ion and verification\, multimodal fusion\, presentation-attack and deepfa ke detection\, biometric template security\, privacy\, demographic fairne ss\, and rigorous benchmarking. Learned representations and foundation mo dels are important methods\; federated learning belongs here through secu re biometric systems. Healthcare\, banking\, and robotics are application s\, not blanket scope tags.\nAdditional topics: Machine Learning\, Robust ness & Safety\, Fairness & Responsible AI\, Explainability & Interpretabi lity\, Federated & Distributed Learning\, Signal Processing\nScope source s (2027): https://ijcb2027.ieee-biometrics.org/call-for-papers/\nScope la st checked: 2026-10-07 URL:https://ijcb2027.ieee-biometrics.org/important-dates/ LOCATION:Foz do Iguacu\, Brazil END:VEVENT BEGIN:VEVENT UID:icann-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270914 DTEND;VALUE=DATE:20270918 SUMMARY:[Machine Learning][Deep Representation Learning] ICANN 2027 - Confe rence (estimated) DESCRIPTION:Conference title: International Conference on Artificial Neural Networks\nWebsite: https://e-nns.org/icann2026/\nSource URL: https://e-n ns.org/icann2026/\nLocation: To be announced\nTopics: Machine Learning\, Deep Representation Learning\, Computational Neuroscience\, Signal Proces sing\nSize: L\nSubmission type: Paper-based\nConfidence: estimated\nLast checked date: 2026-10-06\nNotes: Provisional 1-year cadence projection fr om ICANN 2026. Meeting dates\, location\, and deadlines require organizer confirmation\; website and source links refer to the prior edition. URL:https://e-nns.org/icann2026/ LOCATION:To be announced END:VEVENT BEGIN:VEVENT UID:bernstein-conference-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270915 DTEND;VALUE=DATE:20270919 SUMMARY:[Computational Neuroscience][EEG/MEG & Neural Signals] Bernstein Co nference 2027 - Conference DESCRIPTION:Conference title: Bernstein Conference\nWebsite: https://bernst ein-network.de/bernstein-conference/bernstein-conference-2027/\nSource UR L: https://bernstein-network.de/bernstein-conference/bernstein-conference -2027/\nLocation: Lausanne\, Switzerland\nTopics: Computational Neuroscie nce\, EEG/MEG & Neural Signals\, Machine Learning\, Time Series & Sequent ial Data\nSize: M\nSubmission type: Abstract-based / talks selective\nCon fidence: confirmed\nLast checked date: 2026-10-06\nNotes: Bernstein Netwo rk confirms Lausanne\, Sep 15-18. Abstract date is a prior-edition timing estimate until the 2027 call appears. URL:https://bernstein-network.de/bernstein-conference/bernstein-conference- 2027/ LOCATION:Lausanne\, Switzerland END:VEVENT BEGIN:VEVENT UID:ccs-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270917 DTEND;VALUE=DATE:20270925 SUMMARY:[Complex Systems & Network Science][Nonlinear Dynamics & Chaos] CCS 2027 - Conference DESCRIPTION:Conference title: Conference on Complex Systems\nWebsite: https ://cssociety.org/ccs/\nSource URL: https://cssociety.org/ccs/\nLocation: Wroclaw\, Poland\nTopics: Complex Systems & Network Science\, Nonlinear D ynamics & Chaos\, Data Mining & Data Science\nSize: L\nSubmission type: A bstract-based\nConfidence: confirmed\nLast checked date: 2026-10-06\nNote s: Society announces Wroclaw and September 17-24\; detailed main/satellit e split is not yet available. Abstract deadline is estimated from the 202 6 main-meeting lead time\, not officially announced. Distinct from ACM CC S\; no inherited security-conference rank. Size is an editorial category. URL:https://cssociety.org/ccs/ LOCATION:Wroclaw\, Poland END:VEVENT BEGIN:VEVENT UID:ais-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270920 DTEND;VALUE=DATE:20270924 SUMMARY:[Machine Learning][Data Mining & Data Science] AIS 2027 (formerly L OD) - Conference (estimated) DESCRIPTION:Conference title: Artificial Intelligence Symposium (formerly L OD)\nWebsite: https://ais2026.icas.events/\nSource URL: https://ais2026.i cas.events/\nLocation: TBD\nTopics: Machine Learning\, Data Mining & Data Science\, Learning Theory & Statistical Foundations\, Time Series & Sequ ential Data\nSize: M\nSubmission type: Paper-based / Springer proceedings \nConfidence: estimated\nLast checked date: 2026-10-06\nNotes: AIS's offi cial 2026 site describes the renamed series as annual. The 2027 meeting a nd submission dates are estimates preserving the 2026 weekdays and early batch lead times\; no 2027 CFP or venue is yet published. URL:https://ais2026.icas.events/ LOCATION:TBD END:VEVENT BEGIN:VEVENT UID:miccai-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270926 DTEND;VALUE=DATE:20271002 SUMMARY:[Biomedical Imaging][Healthcare & Clinical AI] MICCAI 2027 - Confer ence DESCRIPTION:Conference title: International Conference on Medical Image Com puting and Computer Assisted Intervention\nWebsite: https://miccai.org/up coming-conferences/\nSource URL: https://miccai.org/upcoming-conferences/ \nLocation: Auckland\, New Zealand\nTopics: Biomedical Imaging\, Healthca re & Clinical AI\, Deep Representation Learning\, Neuroimaging & Brain Ma pping\nSize: XL\nSubmission type: Paper-based\nConfidence: confirmed\nLas t checked date: 2026-10-06\nNotes: The current MICCAI Society upcoming-co nferences page gives Auckland\, Sep 26-Oct 1. Paper dates are unannounced \; February dates are prior-edition proxies. URL:https://miccai.org/upcoming-conferences/ LOCATION:Auckland\, New Zealand END:VEVENT BEGIN:VEVENT UID:automl-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270928 DTEND;VALUE=DATE:20271002 SUMMARY:[Machine Learning][Evolutionary Computation & Optimization] AutoML 2027 - Conference (estimated) DESCRIPTION:Conference title: International Conference on Automated Machine Learning\nWebsite: https://2026.automl.cc/\nSource URL: https://2026.aut oml.cc/\nLocation: To be announced\nTopics: Machine Learning\, Evolutiona ry Computation & Optimization\, Deep Representation Learning\, Learning T heory & Statistical Foundations\nSize: M\nSubmission type: Paper-based\nC onfidence: estimated\nLast checked date: 2026-10-07\nNotes: No official 2 027 schedule found. Annual meeting and main-track deadlines are projectio ns from AutoML 2026\; location is unannounced and links refer to prior ed itions. ABCD covers applications\, benchmarks\, challenges\, and datasets . Size M is an editorial estimate for this specialist conference.\nScope: Automating the construction and configuration of learning systems: hyper parameter optimization\, Bayesian optimization\, neural architecture sear ch\, model selection\, meta-learning\, and pipeline automation. Includes evolutionary and reinforcement-learning approaches\, AutoML for foundatio n models\, and evaluation through applications\, benchmarks\, challenges\ , and datasets. Trustworthiness matters specifically in automated ML work flows.\nAdditional topics: Probabilistic\, Causal & Uncertainty ML\, Rein forcement Learning\, Explainability & Interpretability\, Natural Language Processing & LLMs\, Robustness & Safety\nScope sources (2026): https://2 026.automl.cc/call-for-papers/\nScope last checked: 2026-10-07 URL:https://2026.automl.cc/ LOCATION:To be announced END:VEVENT BEGIN:VEVENT UID:euvip-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20270928 DTEND;VALUE=DATE:20271002 SUMMARY:[Signal Processing][Computer Vision & Pattern Recognition] EUVIP 20 27 - Conference (estimated) DESCRIPTION:Conference title: European Conference on Visual Information Pro cessing\nWebsite: https://euvip2026.github.io/\nSource URL: https://euvip 2026.github.io/\nLocation: To be announced\nTopics: Signal Processing\, C omputer Vision & Pattern Recognition\, Machine Learning\, Deep Representa tion Learning\nSize: S\nSubmission type: Paper-based / visual information processing\nConfidence: estimated\nLast checked date: 2026-10-07\nNotes: No organizer-confirmed 2027 edition was found. Meeting and paper timing are annual planning proxies from 2026's final extended deadline. The next first deadline may be earlier\; do not treat a prior extension as guaran teed. Website and timezone belong to the previous edition\; location is u nannounced.\nScope: Visual information processing across image\, video\, 3D\, and unconventional sensing modalities. Its defining areas are comput ational imaging\, restoration and enhancement\, coding\, recognition\, mu ltimodal fusion\, and subjective/objective quality assessment. Rendering and visualizing data\, human/biometric analysis\, and robust evaluation a re recurring strands. An extensive applications list is not treated as eq ual coverage of every application domain or every responsible-AI subtopic .\nAdditional topics: Multimedia Learning & Retrieval\, Computer Graphics & Visualization\, Biometrics & Human Sensing\, Robustness & Safety\nScop e sources (2026): https://euvip2026.github.io/C4P.pdf\, https://euvip2026 .github.io/calls/\nScope last checked: 2026-10-07 URL:https://euvip2026.github.io/ LOCATION:To be announced END:VEVENT BEGIN:VEVENT UID:ecai-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20271002 DTEND;VALUE=DATE:20271008 SUMMARY:[Machine Learning][Deep Representation Learning] ECAI 2027 - Confer ence DESCRIPTION:Conference title: European Conference on Artificial Intelligenc e\nWebsite: https://ecai2027.org/\nSource URL: https://ecai2027.org/\nLoc ation: Athens\, Greece\nTopics: Machine Learning\, Deep Representation Le arning\, Learning Theory & Statistical Foundations\, Fairness & Responsib le AI\nSize: XL\nSubmission type: Paper-based\nConfidence: confirmed\nLas t checked date: 2026-10-06\nNotes: Official ECAI 2027 site confirms Athen s\, Oct 2-7 (main conference Oct 4-7)\, and an Apr 14 full-paper submissi on date. The cutoff hour/time zone is not published\, so 23:59 AoE is an explicitly estimated placeholder. URL:https://ecai2027.org/ LOCATION:Athens\, Greece END:VEVENT BEGIN:VEVENT UID:iccv-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20271002 DTEND;VALUE=DATE:20271009 SUMMARY:[Computer Vision & Pattern Recognition][Deep Representation Learnin g] ICCV 2027 - Conference DESCRIPTION:Conference title: IEEE/CVF International Conference on Computer Vision\nWebsite: https://iccv.thecvf.com/Conferences/2027\nSource URL: h ttps://iccv.thecvf.com/Conferences/2027\nLocation: Hong Kong\, China\nTop ics: Computer Vision & Pattern Recognition\, Deep Representation Learning \, Machine Learning\nSize: XXL\nSubmission type: Paper-based / OpenReview \nConfidence: confirmed\nLast checked date: 2026-10-07\nNotes: The 2027 h omepage explicitly announces October 2-8 at the Hong Kong Convention and Exhibition Centre. Its Dates page conflicts with a generic October 19-23 placeholder and blank venue\; the named-venue homepage takes precedence p ending organizer reconciliation. Paper deadlines are biennial proxies fro m 2025's explicit 23:59 Hawaii time\, not confirmed 2027 dates. XXL is an editorial estimate for the overall flagship event.\nScope: Broad compute r vision\, from geometry and computational imaging to visual learning\, r ecognition\, segmentation\, generation\, and video understanding. Vision- language and multimodal methods\, visual graphics\, face/body/gesture ana lysis\, and reliable perception are substantial strands. It is a biennial flagship\, not a general AI applications conference. The current scope i s grounded in its 2025 CFP because the 2027 call is not yet published.\nA dditional topics: Computer Graphics & Visualization\, Multimedia Learning & Retrieval\, Natural Language Processing & LLMs\, Biometrics & Human Se nsing\, Robustness & Safety\nScope sources (2025): https://iccv.thecvf.co m/Conferences/2025/CallForPapers\nScope last checked: 2026-10-07 URL:https://iccv.thecvf.com/Conferences/2027 LOCATION:Hong Kong\, China END:VEVENT BEGIN:VEVENT UID:colm-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20271006 DTEND;VALUE=DATE:20271010 SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] COLM 2027 - Conference (estimated) DESCRIPTION:Conference title: Conference on Language Modeling\nWebsite: htt ps://colm.cc/\nSource URL: https://colm.cc/\nLocation: To be announced\nT opics: Natural Language Processing & LLMs\, Deep Representation Learning\ , LLM Agents & Tool Use\, Information Retrieval & Search\nSize: L\nSubmis sion type: Paper-based\nConfidence: estimated\nLast checked date: 2026-10 -07\nNotes: Annual 2024-2026 history supports a provisional 2027 planning row. Exact meeting dates and mandatory abstract/paper cutoffs are one-ye ar proxies from 2026\; host and portal not announced. Size is an editoria l estimate.\nScope: Language-model foundations and methods: training and architecture\, data and scaling\, inference and generation\, evaluation\, reasoning\, retrieval augmentation\, and tool-using language agents. Ali gnment\, interpretability\, and multimodal language models are meaningful extensions. A central language-model contribution distinguishes the conf erence from generic AI applications.\nAdditional topics: Learning Theory & Statistical Foundations\, Explainability & Interpretability\, Robustnes s & Safety\, Fairness & Responsible AI\, Multimedia Learning & Retrieval\ nScope sources (2026): https://colm.cc/Conferences/2026/CallForPapers\nSc ope last checked: 2026-10-07 URL:https://colm.cc/ LOCATION:To be announced END:VEVENT BEGIN:VEVENT UID:smc-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20271007 DTEND;VALUE=DATE:20271011 SUMMARY:[Control & Robotics][Complex Systems & Network Science] SMC 2027 - Conference (estimated) DESCRIPTION:Conference title: IEEE International Conference on Systems\, Ma n\, and Cybernetics\nWebsite: https://www.ieeesmc.org/conferences/calenda r/\nSource URL: https://www.ieeesmc.org/conferences/calendar/\nLocation: Ho Chi Minh City\, Vietnam\nTopics: Control & Robotics\, Complex Systems & Network Science\, Machine Learning\, Human-AI Interaction & Deployment\ nSize: L\nSubmission type: Paper-based\nConfidence: estimated\nLast check ed date: 2026-10-07\nNotes: Society confirms the 2027 host city. October 7-10 appears only in the hosting proposal\, so remains provisional\; dead lines are one-year proxies from 2026. Do not present proposal dates or un announced cutoff hours as confirmed. Size is an editorial estimate.\nScop e: Systems science\, cybernetics\, and human-machine systems. Characteris tic ML-facing work includes intelligent and learning-based control\, auto nomous systems\, adaptive decision-making\, and human-AI interaction\; br ain-machine interfaces and cognitive systems are meaningful extensions. I ts interdisciplinary remit is curated without tagging every industrial ap plication as a core specialty.\nAdditional topics: Reinforcement Learning \, System Identification & Data-driven Dynamics\, BCI & Neurotechnology\, Cognitive Science & Computational Cognition\nScope sources (2026): https ://www.ieeesmc2026.org/call-for-papers\nScope last checked: 2026-10-07 URL:https://www.ieeesmc.org/conferences/calendar/ LOCATION:Ho Chi Minh City\, Vietnam END:VEVENT BEGIN:VEVENT UID:ieee-biocas-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20271014 DTEND;VALUE=DATE:20271017 SUMMARY:[Healthcare & Clinical AI][BCI & Neurotechnology] IEEE BioCAS 2027 - Conference DESCRIPTION:Conference title: IEEE Biomedical Circuits and Systems Conferen ce\nWebsite: https://2027.ieee-biocas.org/\nSource URL: https://2027.ieee -biocas.org/\nLocation: Oslo\, Norway\nTopics: Healthcare & Clinical AI\, BCI & Neurotechnology\, Signal Processing\, Neuromorphic & Brain-inspire d Computing\nSize: M\nSubmission type: Paper-based\nConfidence: confirmed \nLast checked date: 2026-10-08\nNotes: Official 2027 host confirms Oslo and October 14-16. IEEE SSCS lists May 7 as Abstract Submission Date\; it is retained with that exact action\, not relabeled as a paper deadline o r made a mandatory paper gate. The final 2027 CFP\, full-paper deadline a nd cutoff hour still require review. Size is an editorial estimate.\nScop e: Biomedical circuits\, integrated systems and medical devices spanning biosignal acquisition and processing\, neural interfaces\, implants\, bio electronics and low-power or on-device biomedical computation. Brain-insp ired hardware and machine learning are relevant when tied to biomedical e ngineering\, rather than as generic algorithms.\nAdditional topics: EEG/M EG & Neural Signals\, Machine Learning\, ML Systems & Infrastructure\nSco pe sources (2026): https://2026.ieee-biocas.org/2026/pages_submission/cal l_for_papers.vm\, https://2027.ieee-biocas.org/\nScope last checked: 2026 -10-08 URL:https://2027.ieee-biocas.org/ LOCATION:Oslo\, Norway END:VEVENT BEGIN:VEVENT UID:sfn-neuroscience-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20271023 DTEND;VALUE=DATE:20271028 SUMMARY:[Systems & Experimental Neuroscience][Computational Neuroscience] S fN Neuroscience 2027 - Conference DESCRIPTION:Conference title: Society for Neuroscience Annual Meeting\nWebs ite: https://www.sfn.org/meetings\nSource URL: https://www.sfn.org/meetin gs\nLocation: Chicago\, Illinois\, USA\nTopics: Systems & Experimental Ne uroscience\, Computational Neuroscience\, Cognitive Science & Computation al Cognition\, Neuroimaging & Brain Mapping\nSize: XXL\nSubmission type: Abstract-based\nConfidence: confirmed\nLast checked date: 2026-10-08\nNot es: SfN confirms the Chicago meeting dates. The regular abstract deadline is a one-year proxy from 2026\, not a published 2027 call. No opening da te\, late-breaking capacity or proceedings-paper route is assumed. Size i s an editorial estimate.\nScope: Broad neuroscience annual meeting spanni ng molecular and cellular neuroscience\, neural circuits\, systems and be havioral neuroscience\, cognition\, development and disease. Computationa l neuroscience\, neuroimaging and neurotechnology are relevant parts of t his broad remit\, not its exclusive identity. Research abstracts are pres ented and archived\; they are not standard full-paper conference proceedi ngs.\nAdditional topics: EEG/MEG & Neural Signals\, BCI & Neurotechnology \nScope sources (2026): https://www.sfn.org/cfa\, https://www.sfn.org/mee tings\nScope last checked: 2026-10-08 URL:https://www.sfn.org/meetings LOCATION:Chicago\, Illinois\, USA END:VEVENT BEGIN:VEVENT UID:iswc-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20271025 DTEND;VALUE=DATE:20271030 SUMMARY:[Knowledge Representation & Reasoning][Graphs & Graph Learning] ISW C 2027 - Conference (estimated) DESCRIPTION:Conference title: International Semantic Web Conference\nWebsit e: https://swsa.semanticweb.org/conferences/\nSource URL: https://swsa.se manticweb.org/conferences/\nLocation: To be announced\nTopics: Knowledge Representation & Reasoning\, Graphs & Graph Learning\, Data Mining & Data Science\, Information Retrieval & Search\nSize: M\nSubmission type: Pape r-based\nConfidence: estimated\nLast checked date: 2026-10-07\nNotes: SWS A confirms an annual 2027 edition in October/November but not exact dates or location. October 25-29 and submission cutoffs are one-year proxies f rom 2026. Size is an editorial estimate.\nScope: Semantic Web and linked- data research: ontologies\, knowledge graphs\, representation and reasoni ng\, semantic integration\, querying\, and knowledge-supported AI. Graph learning is relevant through semantic data and knowledge structures\; thi s is not the IEEE wearable-computing symposium with the same acronym.\nAd ditional topics: Machine Learning\, Explainability & Interpretability\nSc ope sources (2026): https://iswc2026.semanticweb.org/calls/research\nScop e last checked: 2026-10-07 URL:https://swsa.semanticweb.org/conferences/ LOCATION:To be announced END:VEVENT BEGIN:VEVENT UID:lrec-2028-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20271025T115900Z DTEND:20271025T125900Z SUMMARY:[Natural Language Processing & LLMs][Data Mining & Data Science] LR EC 2028 - Estimated paper submission deadline (estimated) DESCRIPTION:Conference title: Language Resources and Evaluation Conference\ nWebsite: https://www.elra.info/elra-events/lrec/\nSource URL: https://lr ec2026.info/third-call-for-papers/\nLocation: To be announced\nTopics: Na tural Language Processing & LLMs\, Data Mining & Data Science\, Signal Pr ocessing\nSize: XL\nSubmission type: Paper-based\nConfidence: estimated\n Last checked date: 2026-10-07\nNotes: ELRA explicitly organizes LREC bien nially and is soliciting 2028/2030 hosts. Exact 2028 meeting and submissi on dates are two-year proxies from 2026\, not an invented annual 2027 edi tion. Size is an editorial estimate.\nScope: Language resources\, annotat ion\, corpora and datasets\, speech and multimodal resources\, benchmarki ng\, and evaluation for human-language technologies. Contributions often create or analyze reusable resources and methods for linguistic coverage and reliable assessment. The breadth of language applications is summariz ed without treating every domain as a defining topic.\nAdditional topics: Multimedia Learning & Retrieval\, Fairness & Responsible AI\nScope sourc es (2026): https://lrec2026.info/third-call-for-papers/\nScope last check ed: 2026-10-07 URL:https://lrec2026.info/third-call-for-papers/ END:VEVENT BEGIN:VEVENT UID:emnlp-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20271101 DTEND;VALUE=DATE:20271107 SUMMARY:[Natural Language Processing & LLMs][Deep Representation Learning] EMNLP 2027 - Conference (estimated) DESCRIPTION:Conference title: Conference on Empirical Methods in Natural La nguage Processing\nWebsite: https://www.aclweb.org/portal/content/joint-c all-workshops-proposals-2027\nSource URL: https://www.aclweb.org/portal/c ontent/joint-call-workshops-proposals-2027\nLocation: Mexico or Central A merica\; city to be announced\nTopics: Natural Language Processing & LLMs \, Deep Representation Learning\, LLM Agents & Tool Use\, Information Ret rieval & Search\nSize: XXL\nSubmission type: Paper-based\nConfidence: est imated\nLast checked date: 2026-10-07\nNotes: ACL announces tentative ear ly November 2027 in Mexico or Central America. November 1-6 is a planning placeholder within that window\, not published exact dates. Paper timing is a one-year proxy from 2026\; do not infer commitment eligibility or p ortal opening.\nScope: Empirical methods for language modeling and NLP\, including generation\, information extraction\, multilinguality\, dialogu e\, retrieval\, and model evaluation. Interpretability\, bias\, and safet y matter within language systems. Curated coverage emphasizes language me thods and evidence rather than every application listed in the CFP.\nAddi tional topics: Explainability & Interpretability\, Fairness & Responsible AI\, Robustness & Safety\, Human-AI Interaction & Deployment\nScope sour ces (2026): https://2026.emnlp.org/calls/main_conference_papers/\nScope l ast checked: 2026-10-07 URL:https://www.aclweb.org/portal/content/joint-call-workshops-proposals-20 27 LOCATION:Mexico or Central America\; city to be announced END:VEVENT BEGIN:VEVENT UID:acpr-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20271108 DTEND;VALUE=DATE:20271112 SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] ACPR 2027 - Conference (estimated) DESCRIPTION:Conference title: Asian Conference on Pattern Recognition\nWebs ite: https://iapr.org/\nSource URL: https://link.springer.com/conference/ acpr\nLocation: TBD\nTopics: Computer Vision & Pattern Recognition\, Mach ine Learning\, Deep Representation Learning\nSize: M\nSubmission type: Pa per-based\nConfidence: not_yet_announced\nLast checked date: 2026-10-06\n Notes: The latest official proceedings are for ACPR 2025. The 2027 meetin g is a biennial-calendar placeholder\; submission estimates use the origi nal (pre-extension) 2025 CFP lead times and weekdays so an earlier gate i s not missed. Verify against an official 2027 announcement. URL:https://link.springer.com/conference/acpr LOCATION:TBD END:VEVENT BEGIN:VEVENT UID:acm-mm-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20271110 DTEND;VALUE=DATE:20271115 SUMMARY:[Multimedia Learning & Retrieval][Computer Vision & Pattern Recogni tion] ACM MM 2027 - Conference (estimated) DESCRIPTION:Conference title: ACM International Conference on Multimedia\nW ebsite: https://www.acmmm.org/\nSource URL: https://www.acmmm.org/\nLocat ion: Hong Kong\, China\nTopics: Multimedia Learning & Retrieval\, Compute r Vision & Pattern Recognition\, Deep Representation Learning\, Signal Pr ocessing\nSize: XL\nSubmission type: Paper-based / multimedia research\nC onfidence: estimated\nLast checked date: 2026-10-07\nNotes: The steering committee announces Hong Kong for 2027 with dates TBA. Meeting and main-p aper timing are annual proxies from 2026\, not official 2027 dates. The l ocation is announced\, but the estimated meeting is excluded from the con firmed-conference map. XL is an editorial size estimate.\nScope: Multimed ia understanding\, learning\, generation\, and retrieval across image\, v ideo\, audio\, language\, and other modalities. Characteristic work inclu des multimodal fusion\, generative and foundation models\, scalable index ing and search\, cross-modal alignment\, and human-centered multimedia ex periences. The 2026 steering-committee scope also emphasizes explainabili ty. Healthcare\, education\, and entertainment are applications\, not bla nket topical identities.\nAdditional topics: Machine Learning\, Natural L anguage Processing & LLMs\, Human-AI Interaction & Deployment\, Data Mini ng & Data Science\, Explainability & Interpretability\nScope sources (202 6): https://2026.acmmm.org/site/topics.html\, https://2026.acmmm.org/\nSc ope last checked: 2026-10-07 URL:https://www.acmmm.org/ LOCATION:Hong Kong\, China END:VEVENT BEGIN:VEVENT UID:icip-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20271129 DTEND;VALUE=DATE:20271204 SUMMARY:[Signal Processing][Computer Vision & Pattern Recognition] ICIP 202 7 - Conference DESCRIPTION:Conference title: IEEE International Conference on Image Proces sing\nWebsite: https://2027.ieeeicip.org/\nSource URL: https://2027.ieeei cip.org/\nLocation: Singapore\nTopics: Signal Processing\, Computer Visio n & Pattern Recognition\, Machine Learning\, Deep Representation Learning \nSize: XL\nSubmission type: Paper-based\nConfidence: confirmed\nLast che cked date: 2026-10-07\nNotes: IEEE Signal Processing Society confirms Sin gapore\, Nov 29-Dec 3\, and Mar 31 paper deadline. Exact submission hour/ timezone and opening are not announced\; 23:59 AoE is only an ordering pr oxy and ICS uses an all-day event. Topics reflect the continuing image-pr ocessing/learning scope in the prior CFP. Size XL is an editorial estimat e.\nScope: Image and video processing across theory\, algorithms\, and im aging systems. Characteristic problems include restoration\, enhancement\ , reconstruction\, registration\, compression\, quality assessment\, and visual analysis. Learning methods and generative models are relevant when they advance image or video processing. The long list of imaging applica tion domains is intentionally not converted into extra specialist-confere nce tags.\nAdditional topics: \nScope sources (2026): https://2026.ieeeic ip.org/topics/\nScope last checked: 2026-10-07 URL:https://2027.ieeeicip.org/ LOCATION:Singapore END:VEVENT BEGIN:VEVENT UID:ieee-cdc-2027-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20271214 DTEND;VALUE=DATE:20271218 SUMMARY:[Control & Robotics][System Identification & Data-driven Dynamics] IEEE CDC 2027 - Conference DESCRIPTION:Conference title: IEEE Conference on Decision and Control\nWebs ite: https://cdc2027.ieeecss.org/\nSource URL: https://cdc2027.ieeecss.or g/\nLocation: Lisbon\, Portugal\nTopics: Control & Robotics\, System Iden tification & Data-driven Dynamics\, Nonlinear Dynamics & Chaos\, Reinforc ement Learning\nSize: XL\nSubmission type: Paper-based\nConfidence: confi rmed\nLast checked date: 2026-10-06\nNotes: Official future edition in Li sbon\; main meeting excludes December 13 workshops. Deadline days and ope ning day published\; exact cutoff hours use estimated end-of-day AoE. Siz e is an editorial category. URL:https://cdc2027.ieeecss.org/ LOCATION:Lisbon\, Portugal END:VEVENT BEGIN:VEVENT UID:icpr-2028-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20271221T115900Z DTEND:20271221T125900Z SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] ICPR 2028 - Paper submission deadline (estimated) DESCRIPTION:Conference title: International Conference on Pattern Recogniti on\nWebsite: https://icpr2026.org/\nSource URL: https://icpr2026.org/file s/flyerCallFP.pdf\nLocation: To be announced\nTopics: Computer Vision & P attern Recognition\, Machine Learning\, Deep Representation Learning\, Bi omedical Imaging\nSize: XL\nSubmission type: Paper-based\nConfidence: est imated\nLast checked date: 2026-10-06\nNotes: Provisional 2-year cadence projection from ICPR 2026. Meeting dates\, location\, and deadlines requi re organizer confirmation\; website and source links refer to the prior e dition. URL:https://icpr2026.org/files/flyerCallFP.pdf END:VEVENT BEGIN:VEVENT UID:areadne-2028-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20280130 DTEND;VALUE=DATE:20280131 SUMMARY:[Systems & Experimental Neuroscience][Computational Neuroscience] A READNE 2028 - Estimated contributed abstract submission deadline (estimat ed) (cutoff time unannounced) DESCRIPTION:Conference title: AREADNE: Research in Encoding and Decoding of Neural Ensembles\nWebsite: https://areadne.org/\nSource URL: https://are adne.org/\nLocation: To be announced\nTopics: Systems & Experimental Neur oscience\, Computational Neuroscience\, BCI & Neurotechnology\nSize: S\nS ubmission type: Abstract-based\nConfidence: estimated\nLast checked date: 2026-10-08\nNotes: Unannounced next biennial edition. Dates are two-year proxies from 2026\; location is not assumed. The contribution is an abst ract\, not an archival paper\, and the cutoff hour is unannounced. Size i s an editorial estimate.\nScope: Encoding and decoding of neural ensemble s\, with emphasis on systems neuroscience\, neural population recordings\ , neural representations\, computation and links to behavior. It is a foc used experimental/computational neuroscience meeting rather than a genera l neuroscience congress. Contributions are reviewed abstracts for talks a nd posters\; its proceedings book is a collection of abstracts.\nAddition al topics: Cognitive Science & Computational Cognition\nScope sources (20 26): https://areadne.org/\nScope last checked: 2026-10-08\nOfficial deadl ine day\; exact cutoff hour/timezone is unannounced. Verify the organizer 's submission portal. URL:https://areadne.org/ END:VEVENT BEGIN:VEVENT UID:eccv-2028-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20280226T220000Z DTEND:20280226T230000Z SUMMARY:[Computer Vision & Pattern Recognition][Deep Representation Learnin g] ECCV 2028 - Paper registration deadline (estimated) DESCRIPTION:Conference title: European Conference on Computer Vision\nWebsi te: https://eccv.ecva.net/\nSource URL: https://eccv.ecva.net/Conferences /2026/Dates\nLocation: To be announced\nTopics: Computer Vision & Pattern Recognition\, Deep Representation Learning\, Machine Learning\nSize: XXL \nSubmission type: Paper-based / Springer proceedings\nConfidence: estima ted\nLast checked date: 2026-10-07\nNotes: No official 2028 schedule or l ocation was found. Meeting and main-paper dates are two-year proxies from ECCV 2026\; no annual 2027 edition is invented. The source links and tim ezone refer to the prior edition\, not a confirmed 2028 host. Only the ne xt paper route is projected\, not every ancillary event.\nScope: Broad re search in visual perception\, representation learning\, recognition\, seg mentation\, 3D geometry and reconstruction\, computational imaging\, and image/video synthesis. Vision-language models\, multimodal understanding\ , human motion and appearance\, and robust visual systems extend this cor e. ECCV is the biennial European flagship for computer vision\; the scope uses the actual published 2026 CFP\, not an invented 2028 call.\nAdditio nal topics: Computer Graphics & Visualization\, Multimedia Learning & Ret rieval\, Natural Language Processing & LLMs\, Biometrics & Human Sensing\ , Robustness & Safety\nScope sources (2026): https://eccv.ecva.net/Confer ences/2026/CallForPapers\nScope last checked: 2026-10-07 URL:https://eccv.ecva.net/Conferences/2026/Dates END:VEVENT BEGIN:VEVENT UID:eccv-2028-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20280305T220000Z DTEND:20280305T230000Z SUMMARY:[Computer Vision & Pattern Recognition][Deep Representation Learnin g] ECCV 2028 - Paper submission deadline (estimated) DESCRIPTION:Conference title: European Conference on Computer Vision\nWebsi te: https://eccv.ecva.net/\nSource URL: https://eccv.ecva.net/Conferences /2026/Dates\nLocation: To be announced\nTopics: Computer Vision & Pattern Recognition\, Deep Representation Learning\, Machine Learning\nSize: XXL \nSubmission type: Paper-based / Springer proceedings\nConfidence: estima ted\nLast checked date: 2026-10-07\nNotes: No official 2028 schedule or l ocation was found. Meeting and main-paper dates are two-year proxies from ECCV 2026\; no annual 2027 edition is invented. The source links and tim ezone refer to the prior edition\, not a confirmed 2028 host. Only the ne xt paper route is projected\, not every ancillary event.\nScope: Broad re search in visual perception\, representation learning\, recognition\, seg mentation\, 3D geometry and reconstruction\, computational imaging\, and image/video synthesis. Vision-language models\, multimodal understanding\ , human motion and appearance\, and robust visual systems extend this cor e. ECCV is the biennial European flagship for computer vision\; the scope uses the actual published 2026 CFP\, not an invented 2028 call.\nAdditio nal topics: Computer Graphics & Visualization\, Multimedia Learning & Ret rieval\, Natural Language Processing & LLMs\, Biometrics & Human Sensing\ , Robustness & Safety\nScope sources (2026): https://eccv.ecva.net/Confer ences/2026/CallForPapers\nScope last checked: 2026-10-07 URL:https://eccv.ecva.net/Conferences/2026/Dates END:VEVENT BEGIN:VEVENT UID:biomag-2028-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20280501T115900Z DTEND:20280501T125900Z SUMMARY:[EEG/MEG & Neural Signals][Neuroimaging & Brain Mapping] BIOMAG 202 8 - Abstract submission deadline (estimated) DESCRIPTION:Conference title: International Conference on Biomagnetism\nWeb site: https://mm.scimeeting.cn/en/web/index/31426\nSource URL: https://mm .scimeeting.cn/en/web/index/31426\nLocation: To be announced\nTopics: EEG /MEG & Neural Signals\, Neuroimaging & Brain Mapping\, Computational Neur oscience\, Signal Processing\nSize: M\nSubmission type: Abstract-based / specialist venue\nConfidence: estimated\nLast checked date: 2026-10-06\nN otes: Provisional 2-year cadence projection from BIOMAG 2026. Meeting dat es\, location\, and deadlines require organizer confirmation\; website an d source links refer to the prior edition. URL:https://mm.scimeeting.cn/en/web/index/31426 END:VEVENT BEGIN:VEVENT UID:lrec-2028-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20280511 DTEND;VALUE=DATE:20280517 SUMMARY:[Natural Language Processing & LLMs][Data Mining & Data Science] LR EC 2028 - Conference (estimated) DESCRIPTION:Conference title: Language Resources and Evaluation Conference\ nWebsite: https://www.elra.info/elra-events/lrec/\nSource URL: https://ww w.elra.info/elra-events/lrec/\nLocation: To be announced\nTopics: Natural Language Processing & LLMs\, Data Mining & Data Science\, Signal Process ing\nSize: XL\nSubmission type: Paper-based\nConfidence: estimated\nLast checked date: 2026-10-07\nNotes: ELRA explicitly organizes LREC bienniall y and is soliciting 2028/2030 hosts. Exact 2028 meeting and submission da tes are two-year proxies from 2026\, not an invented annual 2027 edition. Size is an editorial estimate.\nScope: Language resources\, annotation\, corpora and datasets\, speech and multimodal resources\, benchmarking\, and evaluation for human-language technologies. Contributions often creat e or analyze reusable resources and methods for linguistic coverage and r eliable assessment. The breadth of language applications is summarized wi thout treating every domain as a defining topic.\nAdditional topics: Mult imedia Learning & Retrieval\, Fairness & Responsible AI\nScope sources (2 026): https://lrec2026.info/third-call-for-papers/\nScope last checked: 2 026-10-07 URL:https://www.elra.info/elra-events/lrec/ LOCATION:To be announced END:VEVENT BEGIN:VEVENT UID:sab-2028-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20280516T065900Z DTEND:20280516T075900Z SUMMARY:[Artificial Life & Adaptive Systems][Computational Neuroscience] SA B 2028 - Estimated poster abstract submission deadline (estimated) DESCRIPTION:Conference title: International Conference on Simulation of Ada ptive Behavior\nWebsite: https://sab-conference.org/\nSource URL: https:/ /sab-conference.org/call-for-contributions/\nLocation: To be announced\nT opics: Artificial Life & Adaptive Systems\, Computational Neuroscience\, Cognitive Science & Computational Cognition\, Control & Robotics\nSize: M \nSubmission type: Reviewed papers + non-archival contributions\nConfiden ce: estimated\nLast checked date: 2026-10-08\nNotes: Unannounced next bie nnial edition\; meeting dates and deadlines are two-year proxies from 202 6\, and no host location is assumed. Size is an editorial estimate.\nScop e: Understanding adaptive behavior through biological and artificial agen ts\, including embodied cognition\, neural and computational models\, rob otics\, learning\, evolution and collective behavior. The biennial ISAB m eeting combines archival proceedings papers with deliberately non-archiva l contributions and poster abstracts.\nAdditional topics: Machine Learnin g\, Reinforcement Learning\, Autonomous Agents & Multiagent Systems\nScop e sources (2026): https://sab-conference.org/call-for-contributions/\nSco pe last checked: 2026-10-08 URL:https://sab-conference.org/call-for-contributions/ END:VEVENT BEGIN:VEVENT UID:sab-2028-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20280516T065900Z DTEND:20280516T075900Z SUMMARY:[Artificial Life & Adaptive Systems][Computational Neuroscience] SA B 2028 - Estimated proceedings paper submission deadline (estimated) DESCRIPTION:Conference title: International Conference on Simulation of Ada ptive Behavior\nWebsite: https://sab-conference.org/\nSource URL: https:/ /sab-conference.org/call-for-contributions/\nLocation: To be announced\nT opics: Artificial Life & Adaptive Systems\, Computational Neuroscience\, Cognitive Science & Computational Cognition\, Control & Robotics\nSize: M \nSubmission type: Reviewed papers + non-archival contributions\nConfiden ce: estimated\nLast checked date: 2026-10-08\nNotes: Unannounced next bie nnial edition\; meeting dates and deadlines are two-year proxies from 202 6\, and no host location is assumed. Size is an editorial estimate.\nScop e: Understanding adaptive behavior through biological and artificial agen ts\, including embodied cognition\, neural and computational models\, rob otics\, learning\, evolution and collective behavior. The biennial ISAB m eeting combines archival proceedings papers with deliberately non-archiva l contributions and poster abstracts.\nAdditional topics: Machine Learnin g\, Reinforcement Learning\, Autonomous Agents & Multiagent Systems\nScop e sources (2026): https://sab-conference.org/call-for-contributions/\nSco pe last checked: 2026-10-08 URL:https://sab-conference.org/call-for-contributions/ END:VEVENT BEGIN:VEVENT UID:s-sspr-2028-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20280525T215900Z DTEND:20280525T225900Z SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] S+SSPR 20 28 - Paper submission deadline (estimated) DESCRIPTION:Conference title: Joint IAPR International Workshops on Statist ical Techniques in Pattern Recognition and Structural and Syntactic Patte rn Recognition\nWebsite: https://ssspr2026.inf.unibe.ch/\nSource URL: htt ps://ssspr2026.inf.unibe.ch/\nLocation: To be announced\nTopics: Computer Vision & Pattern Recognition\, Machine Learning\, Learning Theory & Stat istical Foundations\nSize: M\nSubmission type: Paper-based / workshop-sty le conference\nConfidence: estimated\nLast checked date: 2026-10-06\nNote s: Provisional 2-year cadence projection from S+SSPR 2026. Meeting dates\ , location\, and deadlines require organizer confirmation\; website and s ource links refer to the prior edition. URL:https://ssspr2026.inf.unibe.ch/ END:VEVENT BEGIN:VEVENT UID:areadne-2028-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20280623 DTEND;VALUE=DATE:20280628 SUMMARY:[Systems & Experimental Neuroscience][Computational Neuroscience] A READNE 2028 - Conference (estimated) DESCRIPTION:Conference title: AREADNE: Research in Encoding and Decoding of Neural Ensembles\nWebsite: https://areadne.org/\nSource URL: https://are adne.org/\nLocation: To be announced\nTopics: Systems & Experimental Neur oscience\, Computational Neuroscience\, BCI & Neurotechnology\nSize: S\nS ubmission type: Abstract-based\nConfidence: estimated\nLast checked date: 2026-10-08\nNotes: Unannounced next biennial edition. Dates are two-year proxies from 2026\; location is not assumed. The contribution is an abst ract\, not an archival paper\, and the cutoff hour is unannounced. Size i s an editorial estimate.\nScope: Encoding and decoding of neural ensemble s\, with emphasis on systems neuroscience\, neural population recordings\ , neural representations\, computation and links to behavior. It is a foc used experimental/computational neuroscience meeting rather than a genera l neuroscience congress. Contributions are reviewed abstracts for talks a nd posters\; its proceedings book is a collection of abstracts.\nAddition al topics: Cognitive Science & Computational Cognition\nScope sources (20 26): https://areadne.org/\nScope last checked: 2026-10-08 URL:https://areadne.org/ LOCATION:To be announced END:VEVENT BEGIN:VEVENT UID:s-sspr-2028-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20280715T215900Z DTEND:20280715T225900Z SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] S+SSPR 20 28 - Camera-ready deadline (estimated) DESCRIPTION:Conference title: Joint IAPR International Workshops on Statist ical Techniques in Pattern Recognition and Structural and Syntactic Patte rn Recognition\nWebsite: https://ssspr2026.inf.unibe.ch/\nSource URL: htt ps://ssspr2026.inf.unibe.ch/\nLocation: To be announced\nTopics: Computer Vision & Pattern Recognition\, Machine Learning\, Learning Theory & Stat istical Foundations\nSize: M\nSubmission type: Paper-based / workshop-sty le conference\nConfidence: estimated\nLast checked date: 2026-10-06\nNote s: Provisional 2-year cadence projection from S+SSPR 2026. Meeting dates\ , location\, and deadlines require organizer confirmation\; website and s ource links refer to the prior edition. URL:https://ssspr2026.inf.unibe.ch/ END:VEVENT BEGIN:VEVENT UID:icpr-2028-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20280817 DTEND;VALUE=DATE:20280823 SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] ICPR 2028 - Conference (estimated) DESCRIPTION:Conference title: International Conference on Pattern Recogniti on\nWebsite: https://icpr2026.org/\nSource URL: https://icpr2026.org/\nLo cation: To be announced\nTopics: Computer Vision & Pattern Recognition\, Machine Learning\, Deep Representation Learning\, Biomedical Imaging\nSiz e: XL\nSubmission type: Paper-based\nConfidence: estimated\nLast checked date: 2026-10-06\nNotes: Provisional 2-year cadence projection from ICPR 2026. Meeting dates\, location\, and deadlines require organizer confirma tion\; website and source links refer to the prior edition. URL:https://icpr2026.org/ LOCATION:To be announced END:VEVENT BEGIN:VEVENT UID:biomag-2028-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20280823 DTEND;VALUE=DATE:20280826 SUMMARY:[EEG/MEG & Neural Signals][Neuroimaging & Brain Mapping] BIOMAG 202 8 - Conference (estimated) DESCRIPTION:Conference title: International Conference on Biomagnetism\nWeb site: https://mm.scimeeting.cn/en/web/index/31426\nSource URL: https://mm .scimeeting.cn/en/web/index/31426\nLocation: To be announced\nTopics: EEG /MEG & Neural Signals\, Neuroimaging & Brain Mapping\, Computational Neur oscience\, Signal Processing\nSize: M\nSubmission type: Abstract-based / specialist venue\nConfidence: estimated\nLast checked date: 2026-10-06\nN otes: Provisional 2-year cadence projection from BIOMAG 2026. Meeting dat es\, location\, and deadlines require organizer confirmation\; website an d source links refer to the prior edition. URL:https://mm.scimeeting.cn/en/web/index/31426 LOCATION:To be announced END:VEVENT BEGIN:VEVENT UID:s-sspr-2028-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20280824 DTEND;VALUE=DATE:20280827 SUMMARY:[Computer Vision & Pattern Recognition][Machine Learning] S+SSPR 20 28 - Conference (estimated) DESCRIPTION:Conference title: Joint IAPR International Workshops on Statist ical Techniques in Pattern Recognition and Structural and Syntactic Patte rn Recognition\nWebsite: https://ssspr2026.inf.unibe.ch/\nSource URL: htt ps://ssspr2026.inf.unibe.ch/\nLocation: To be announced\nTopics: Computer Vision & Pattern Recognition\, Machine Learning\, Learning Theory & Stat istical Foundations\nSize: M\nSubmission type: Paper-based / workshop-sty le conference\nConfidence: estimated\nLast checked date: 2026-10-06\nNote s: Provisional 2-year cadence projection from S+SSPR 2026. Meeting dates\ , location\, and deadlines require organizer confirmation\; website and s ource links refer to the prior edition. URL:https://ssspr2026.inf.unibe.ch/ LOCATION:To be announced END:VEVENT BEGIN:VEVENT UID:eccv-2028-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20280908 DTEND;VALUE=DATE:20280913 SUMMARY:[Computer Vision & Pattern Recognition][Deep Representation Learnin g] ECCV 2028 - Conference (estimated) DESCRIPTION:Conference title: European Conference on Computer Vision\nWebsi te: https://eccv.ecva.net/\nSource URL: https://eccv.ecva.net/Conferences /2026/Dates\nLocation: To be announced\nTopics: Computer Vision & Pattern Recognition\, Deep Representation Learning\, Machine Learning\nSize: XXL \nSubmission type: Paper-based / Springer proceedings\nConfidence: estima ted\nLast checked date: 2026-10-07\nNotes: No official 2028 schedule or l ocation was found. Meeting and main-paper dates are two-year proxies from ECCV 2026\; no annual 2027 edition is invented. The source links and tim ezone refer to the prior edition\, not a confirmed 2028 host. Only the ne xt paper route is projected\, not every ancillary event.\nScope: Broad re search in visual perception\, representation learning\, recognition\, seg mentation\, 3D geometry and reconstruction\, computational imaging\, and image/video synthesis. Vision-language models\, multimodal understanding\ , human motion and appearance\, and robust visual systems extend this cor e. ECCV is the biennial European flagship for computer vision\; the scope uses the actual published 2026 CFP\, not an invented 2028 call.\nAdditio nal topics: Computer Graphics & Visualization\, Multimedia Learning & Ret rieval\, Natural Language Processing & LLMs\, Biometrics & Human Sensing\ , Robustness & Safety\nScope sources (2026): https://eccv.ecva.net/Confer ences/2026/CallForPapers\nScope last checked: 2026-10-07 URL:https://eccv.ecva.net/Conferences/2026/Dates LOCATION:To be announced END:VEVENT BEGIN:VEVENT UID:sab-2028-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20281019 DTEND;VALUE=DATE:20281023 SUMMARY:[Artificial Life & Adaptive Systems][Computational Neuroscience] SA B 2028 - Conference (estimated) DESCRIPTION:Conference title: International Conference on Simulation of Ada ptive Behavior\nWebsite: https://sab-conference.org/\nSource URL: https:/ /sab-conference.org/\nLocation: To be announced\nTopics: Artificial Life & Adaptive Systems\, Computational Neuroscience\, Cognitive Science & Com putational Cognition\, Control & Robotics\nSize: M\nSubmission type: Revi ewed papers + non-archival contributions\nConfidence: estimated\nLast che cked date: 2026-10-08\nNotes: Unannounced next biennial edition\; meeting dates and deadlines are two-year proxies from 2026\, and no host locatio n is assumed. Size is an editorial estimate.\nScope: Understanding adapti ve behavior through biological and artificial agents\, including embodied cognition\, neural and computational models\, robotics\, learning\, evol ution and collective behavior. The biennial ISAB meeting combines archiva l proceedings papers with deliberately non-archival contributions and pos ter abstracts.\nAdditional topics: Machine Learning\, Reinforcement Learn ing\, Autonomous Agents & Multiagent Systems\nScope sources (2026): https ://sab-conference.org/call-for-contributions/\nScope last checked: 2026-1 0-08 URL:https://sab-conference.org/ LOCATION:To be announced END:VEVENT END:VCALENDAR