Main Track Papers
Original research submissions in machine learning and related fields, with abstract and full paper deadlines specified.
Conference on Neural Information Processing Systems
NeurIPS 2026 is the fortieth annual interdisciplinary conference on Neural Information Processing Systems, bringing together researchers in machine learning, artificial intelligence, and adjacent fields such as neuroscience, computer vision, natural language processing, and social sciences. 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.
Abstract registration
May 5, 2026
AoE
Full paper
October 1, 2026
AoE
Conference timeline
Abstract registrationKey deadline
May 5, 2026 · AoE
Full paperKey deadline
October 1, 2026 · AoE
Paper fit
A strong submission should clearly identify its contribution and evaluate it appropriately.
Original research submissions in machine learning and related fields, with abstract and full paper deadlines specified.
2.5-hour in-person educational sessions on core or emerging ML topics, with proposals requiring detailed outlines, speaker bios, and plans for post-meeting materials.
Submissions focused on benchmark datasets, evaluation protocols, and systematic analyses of ML systems.
Opinion or perspective pieces on societal, ethical, or methodological issues in AI/ML.
Submissions focused on reproducing and validating existing ML research.
Submissions exploring AI applications in art, design, music, and other creative domains.
Extended versions of previously published work suitable for the NeurIPS Journal track.
Community-organized sessions on specialized topics, held alongside the main conference.
Challenges and benchmarks for specific ML tasks, with associated reviewing guidelines.
Informal gatherings organized by community members to foster connection and discussion.
Submissions of teaching materials, curricula, or pedagogical tools for ML education.
Proposals for informal social activities to enhance community engagement.
Participation in an experiment evaluating AI-assisted reviewing processes.
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026