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NeurIPS Thirty-sixth Annual Conference on Neural Information Processing Systems
NeurIPS 2022 will be a Hybrid Conference with a physical component at the New Orleans Convention Center during the first week, and a virtual component the second week.
Monday November 28th through Friday December 9th

Registration

2022 Pricing » Register 07/04 »

Volunteer Application

Financial Assistance Application coming soon.

Hotel booking coming soon.

 

Announcements

More information about the conference format, schedule,and virtual conference will become available on the NeurIPS blog.

Important Dates

Expo (Industry) DayMon 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 »

Timezone: »

Exhibitors

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.

View NeurIPS 2022 exhibitors »Become a 2022 Exhibitor » Exhibitor Info » Expo Info »

Organizing Committee



General Chair

Sanmi Koyejo (University of Illinois at Urbana-Champaign & Google Research)
Shakir Mohamed (DeepMind)


Program Chair

Alekh Agarwal (Google Research)
Alice Oh (KAIST)
Danielle Belgrave (DeepMind)
Kyunghyun Cho (Genentech | New York University)


Workshop Chair

Hanie Sedghi (Google Research)
Hsuan-Tien Lin (National Taiwan University)
Sungjin Ahn (KAIST)
Tristan Naumann (Microsoft Research)


Tutorial Chair

Adji Bousso Dieng (Princeton University & Google AI)
Andrew Gordon Wilson (New York University)
Jessica Schrouff (Google Research)


Competition Chair

Gustavo Stolovitzky (IBM Research)
Jake Albrecht (Sage Bionetworks)
Marco Ciccone (Politecnico di Torino)


Datasets and Benchmarks Chair

Joaquin Vanschoren (Eindhoven University of Technology)
Rachel Thomas (Queensland University of Technology)


Expo Chairs

Ismini Lourentzou (Virginia Tech)
Wenming Ye (Amazon Web Services)


Affinity Workshop Chair

Arjun Subramonian (University of California, Los Angeles)
Kehinde Aruleba (University of Leicester)
Sunipa Dev (Google Research)


Diversity, Inclusion & Accessibility Chair

Erin Grant (UC Berkeley)
Ignatius Ezeani (Lancaster University)


Ethics Review Chair

Sasha Luccioni (Hugging Face)
Cherie Poland (Virginia Tech)
Deb Raji (University of Toronto)


Communication Chair

Animesh Garg (University of Toronto, Nvidia, Vector Institute)
Sahra Ghalebikesabi (University of Oxford)


Social Chair

Freddie Kalaitzis (University of Oxford)
Jung-Woo Ha (NAVER CLOVA AI Lab)


Journal Chair

Tegan Maharaj (University of Toronto)


Hybrid Workflow Chair

Hendrik Strobelt (IBM Research)
 

Mission Statement

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.

More about the Neural Information Processing Systems foundation »