Main Track Papers
Original research submissions in machine learning and related fields, including full papers with supplementary materials.
Machine Learning/CORE Unranked
EvoRobust@NeurIPS 2026
NeurIPS 2026 Workshop - Self-Evolving Diversity-Driven Search for Robust AI Systems
NeurIPS 2026 is the fortieth annual interdisciplinary conference on Neural Information Processing Systems, bringing together researchers in deep learning, generative AI, machine learning, neuroscience, computer vision, natural language processing, and related fields. The conference features multiple tracks including main papers, evaluations and datasets, position papers, tutorials, workshops, and creative AI, with events held across three sites: Sydney (main), Atlanta, and Paris.
Key deadlines
Verified September 9, 2026Full paper
August 30, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
August 30, 2026 · AoE
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 systematic assessments of existing methods.
Position Papers
Perspective-driven submissions that present novel viewpoints, critiques, or future directions in AI/ML research.
Tutorials
Two-and-a-half-hour in-person educational sessions covering core or emerging topics in machine learning, designed for a broad audience.
Workshops
Specialized, community-organized sessions for in-depth discussion on focused topics.
Creative AI
Submissions exploring artistic, design, or expressive applications of AI.
Journal Track
Extended versions of previously published work suitable for journal publication.
Reproducibility
Submissions focused on replicating and validating existing research results.
Competitions
Challenges and benchmarks organized by the community to advance specific research goals.
Affinity Events
Community-driven social or networking events.
Educational Resources
Submissions of teaching materials, curricula, or pedagogical tools for machine learning.
Expo AI
Demonstrations of practical AI systems and tools.
AI Reviewing Experiment
Submissions participating in the experiment on 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 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.
- Submissions must not substantially overlap with tutorials presented at NeurIPS or ICML within the past two years.
- Tutorial presenters should not have given a tutorial at NeurIPS or ICML within the past five years (prioritized).
- 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 workshop siteCall for PapersCall for TutorialsCall for WorkshopsNeurIPS 2026 Guidance for Workshop Proposalslast year's online schedule (San Diego)
Last verified September 9, 2026