Main Track Papers
Original research submissions on topics including but not limited to deep learning, machine learning, and interdisciplinary applications, with abstract and full paper submission deadlines specified.
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.
Full paper
September 13, 2026
AoE
Workshop timeline
Full paperKey deadline
September 13, 2026 · AoE
Paper fit
A strong submission should clearly identify its contribution and evaluate it appropriately.
Original research submissions on topics including but not limited to deep learning, machine learning, and interdisciplinary applications, with abstract and full paper submission deadlines specified.
Submissions focused on benchmark datasets, evaluation frameworks, and systematic assessments of AI/ML systems.
Shorter submissions presenting opinions, perspectives, or critical analyses on emerging issues in AI/ML research and practice.
Two-and-a-half-hour in-person educational sessions covering core or emerging machine learning topics, designed for a broad NeurIPS audience.
Smaller, focused events for in-depth discussion of specialized topics, held alongside the main conference.
Submissions exploring the intersection of AI and creative practices, including art, music, design, and storytelling.
Extended versions of previously published conference papers submitted for consideration in a companion journal.
Submissions focused on replicating or extending prior work with detailed documentation and code.
Challenges and benchmarks organized by the community to advance specific research goals.
Informal gatherings organized by community members to foster connection and discussion around shared interests.
Proposals for teaching materials, curricula, or tools aimed at improving AI/ML education.
Organized social activities to enhance community building and networking.
Demonstrations and exhibits showcasing practical applications of AI technologies.
Submissions participating in a controlled experiment on the use of AI tools in the peer review process.
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026