BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Venue Radar//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:NeurIPS 2026 Calendar
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: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: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
END:VCALENDAR