Financial Assistance Application coming soon.
Hotel booking coming soon.
More information about the conference format, schedule,and virtual conference will become available on the NeurIPS blog.
|Expo (Industry) Day||Mon Nov. 28th|
|Conference Sessions||Tue Nov 29th through Dec 1st|
|Workshops||Fri Dec 2nd through Sat the 3rd|
|Virtual Only Pass||Mon Nov 28th through Dec 9th|
|Affinity Workshop Application Deadline||May 27 '22(Anywhere on Earth)|
|Affinity Workshop Notifications||May 30 '22(Anywhere on Earth)|
|Registration Open||Jul 04 '22 04:00 PM UTC *|
|Volunteer and Travel Applications Open||Jul 04 '22 04:00 PM UTC *|
|EarlyRegistrationDeadline||Oct 14 '22(Anywhere on Earth)|
|Volunteer and Travel Application Deadline||Oct 27 '22(Anywhere on Earth)|
|Volunteer Application Notification||Oct 30 '22(Anywhere on Earth)|
|Child Care Registration Information coming soon.||Nov 04 '22(Anywhere on Earth)|
|VolunteerAvailableDatesDue||Nov 06 '22(Anywhere on Earth)|
|Last Chance for Registration Refund||Nov 08 '22 07:00 AM UTC *|
|All dates »||
The exhibitor portal is now open; the prospectus is available here, offering the levels of support for 2022. If you have questions about supporting the conference, please contact us. Information about the EXPO is now available. Please see the link below.
Datasets and Benchmarks Chair
Affinity Workshop Chair
Diversity, Inclusion & Accessibility Chair
Ethics Review Chair
Hybrid Workflow Chair
The Neural Information Processing Systems Foundation is a non-profit corporation whose purpose is to foster the exchange of research advances in Artificial Intelligence and Machine Learning, principally by hosting an annual interdisciplinary academic conference with the highest ethical standards for a diverse and inclusive community.
About the Conference
The conference was founded in 1987 and is now a multi-track interdisciplinary annual meeting that includes invited talks, demonstrations, symposia, and oral and poster presentations of refereed papers. Along with the conference is a professional exposition focusing on machine learning in practice, a series of tutorials, and topical workshops that provide a less formal setting for the exchange of ideas.