NeurIPS 2026

Deadlines
Machine Learning/CORE Unranked

NeurIPS 2026

The Fortieth Annual Conference on Neural Information Processing Systems Competition Track

Dec 06 2026Sydney, AustraliaOfficial conference site Site reachable

NeurIPS 2026 is the fortieth annual interdisciplinary conference on Neural Information Processing Systems, bringing together researchers in machine learning, deep learning, neuroscience, computer vision, natural language processing, and related fields. The conference features multiple tracks including main research papers, tutorials, workshops, evaluations and datasets, position papers, and creative AI, with events held across three sites: Sydney (main), Atlanta, and Paris.

Official CFP Back to deadlines Verified September 9, 2026

Key deadlines

Verified September 9, 2026

Full paper

May 16, 2026

AoE

Conference timeline

Submission and decisions

Full paperKey deadline

May 16, 2026 · AoE

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Main Track Papers

Original research submissions in machine learning and related fields, including full papers with supplementary materials, evaluated through peer review.

Tutorials

2.5-hour in-person educational sessions on core or emerging machine learning topics, designed for a broad audience with structured content and optional activities.

Evaluations and Datasets

Submissions presenting new datasets, benchmarks, or evaluation frameworks for machine learning models.

Position Papers

Short papers presenting opinions, visions, or critical analyses on topics relevant to the NeurIPS community.

Reproducibility

Submissions focused on reproducing or analyzing existing work to provide new insights into limitations or behavior.

Creative AI

Submissions exploring the intersection of AI and creative domains such as art, music, design, and storytelling.

Journal Papers

Extended versions of previously published work submitted for consideration in the NeurIPS Journal track.

Workshops

Smaller, community-organized events focused on specialized topics, held alongside the main conference.

Competitions

Challenges and benchmarks inviting participants to solve specific problems using AI/ML methods.

Affinity Events

Informal gatherings organized by community members to foster discussion and networking around shared interests.

Educational Resources

Submissions of teaching materials, curricula, or tools designed to support AI/ML education.

Social Events

Proposals for informal, community-building activities during the conference.

Expo AI Reviewing Experiment

Participation in an experimental track testing new AI-assisted reviewing processes.

Research areas in scope

01

Main Track Topics

Computer visionLanguage and multimodal language modelsRobotics, embodied systems, and engineeringAI/ML for physical sciencesAI/ML for health and biotechnologyAI/ML for sustainabilityAI/ML for social sciencesAI/ML for creativesNeuroscience and cognitive scienceSocio-technical aspects of AIHuman interaction in AI systemsDecision-making, reinforcement learning, and controlGeneralization and multi-task learningOptimizationProbabilistic methodsAI and network scienceData-centric aspects of AISysMLInfrastructureTheoryDeep learningGeneral machine learning: core contributions in supervised and unsupervised methods

Policies worth checking twice

  • Papers cannot be submitted to multiple tracks or types simultaneously.
  • Irrelevant or duplicate papers risk desk rejection from all tracks.
  • Authors must have an OpenReview profile when submitting.
  • There is no possibility to switch tracks or paper types after submission.
  • Tutorial proposals must be no more than five pages and submitted in PDF format.
  • Tutorial proposals do not need to be anonymized.
  • Each researcher can submit at most one tutorial proposal as an organizer.
  • Each researcher can be part of maximum one tutorial session for optional activities.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026