Main Track Papers
Original research submissions in machine learning and related fields, including full papers with supplementary materials, evaluated through peer review.
The Fortieth Annual Conference on Neural Information Processing Systems Competition Track
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.
Full paper
May 16, 2026
AoE
Conference timeline
Full paperKey deadline
May 16, 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, including full papers with supplementary materials, evaluated through peer review.
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.
Submissions presenting new datasets, benchmarks, or evaluation frameworks for machine learning models.
Short papers presenting opinions, visions, or critical analyses on topics relevant to the NeurIPS community.
Submissions focused on reproducing or analyzing existing work to provide new insights into limitations or behavior.
Submissions exploring the intersection of AI and creative domains such as art, music, design, and storytelling.
Extended versions of previously published work submitted for consideration in the NeurIPS Journal track.
Smaller, community-organized events focused on specialized topics, held alongside the main conference.
Challenges and benchmarks inviting participants to solve specific problems using AI/ML methods.
Informal gatherings organized by community members to foster discussion and networking around shared interests.
Submissions of teaching materials, curricula, or tools designed to support AI/ML education.
Proposals for informal, community-building activities during the conference.
Participation in an experimental track testing new AI-assisted reviewing processes.
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026