Main Track Papers
Original research submissions in machine learning and related fields, with abstract and full paper deadlines specified.
Machine Learning/CORE Unranked
NeurIPS 2026
NeurIPS 2026 Education Track
NeurIPS 2026 is the fortieth annual interdisciplinary conference on Neural Information Processing Systems, bringing together researchers in machine learning, artificial intelligence, neuroscience, computer vision, natural language processing, and related fields. The conference features multiple tracks including main research papers, evaluations and datasets, position papers, tutorials, workshops, and creative AI, with events held across three sites: Sydney (main), Atlanta, and Paris.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Evaluations and Datasets
Submissions focused on benchmark datasets, evaluation frameworks, and empirical analyses of existing methods.
Position Papers
Shorter submissions presenting opinions, visions, or critical analyses on emerging topics or community issues.
Tutorials
2.5-hour in-person educational sessions covering core or emerging ML topics, with structured proposals including outlines, goals, and diversity considerations.
Workshops
Smaller, focused events on specialized topics, held alongside the main conference.
Competitions
Challenges and leaderboards for specific ML tasks, with dedicated reviewing guidelines.
Creative AI
Submissions exploring artistic, design, or expressive applications of AI.
Journal Track
Extended versions of previously published conference papers submitted for journal consideration.
Reproducibility
Submissions focused on replicating and validating existing research results.
Educational Resources
Materials designed for teaching or learning machine learning concepts.
Affinity Events
Community-driven events promoting diversity and inclusion.
Social Events
Informal gatherings to foster community interaction.
Expo AI Reviewing Experiment
Experimental track exploring novel peer review methodologies.
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 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.
Official conference siteCall for PapersCall for TutorialsCall for WorkshopsNeurIPS 2026 Guidance for Workshop Proposalslast year's online schedule (San Diego)
Last verified September 9, 2026