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NeurIPS 2022

The Thirty-sixth Annual Conference on Neural Information Processing Systems

Monday, November 28th through Friday December 9th

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.

Registration

Visit the MyStuff page using the link below, choose your 2022 registration, and visit the payment section to generate a registration receipt or certificate of attendance. 

Registration Receipt and Certificate of Attendance

Announcements

  • Read the NeurIPS blog for conference updates and subscribe to the NeurIPS Newletter for infrequent updates. 

  • Careers Site

    The NeurIPS Careers site is open but no longer accepting new job poster applications. 

    Careers Site

Important Dates

Registration Open Jul 04 '22 11:00 AM CDT *
Last Chance for Registration Refund Nov 08 '22 01:00 AM CST *
MandatorySlidesLiveUploadDeadline Nov 10 '22 (Anywhere on Earth)
Virtual Workshops Start and End Times Final (does not apply to physical) Nov 15 '22 02:00 PM CST *
Datasets and Benchmarks Abstract Deadline Jun 01 '23 03:00 PM CDT *
Datasets and Benchmarks Submission Deadline Jun 07 '23 03:00 PM CDT *
Datasets and Benchmarks Supplementary Material Deadline Jun 14 '23 03:00 PM CDT *
Datasets and Benchmarks Author Notifications Sep 21 '23 03:00 PM CDT *
All dates

Timezone:

Exhibitors

If you have questions about supporting the conference, please contact us.

View NeurIPS 2022 exhibitors »Become an 2024 Exhibitor Exhibitor Info »

Organizing Committee

General Chair

Sanmi Koyejo (Stanford University / Google)
Shakir Mohamed (DeepMind)

Program Chair

Alekh Agarwal (Google Research)
Alice Oh (KAIST)
Danielle Belgrave (DeepMind)
Kyunghyun Cho (Genentech / NYU)

Workshop Chair

Hanie Sedghi (Google Research, Brain team)
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 DeepMind)

Competition Chair

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

Datasets and Benchmarks Chair

Deepti Ghadiyaram (Runway)
Joaquin Vanschoren (Eindhoven University of Technology)

Diversity, Inclusion & Accessibility Chair

Erin Grant (University College London)
Ignatius Ezeani (Lancaster University)

Affinity Chair

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

Expo Chairs

Ismini Lourentzou (Virginia Tech)
Wenming Ye (Google)

Outreach Chair

Jessica Forde (Brown University)
Matthew Wang (University of California, Los Angeles (UCLA))

Ethics Review Chair

Cherie Poland (Complex Adaptive Systems Research | Virginia Tech)
Deborah Raji (University of Toronto)
Sasha Luccioni (Hugging Face)
William Isaac (DeepMind)

Communication Chair

Animesh Garg (Georgia Tech, Nvidia, Univ of Toronto)
Sahra Ghalebikesabi (University of Oxford)

Social Chair

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

Journal Chair

Koustuv Sinha (Meta AI)
Tegan Maharaj (University of Toronto)

Hybrid Workflow Chair

Hendrik Strobelt (IBM Research / MIT-IBM Ai Lab)

Workflow Manager

Zhenyu (Sherry) Xue (NeurIPS Foundation)

Logistics and IT

Brad Brockmeyer (NeurIPS Staff)
Brian Nettleton (EventHosts)
Lee Campbell (NeurIPS Foundation)
Mary Ellen Perry (Level 5 Events)
Max A Wiesner (NeurIPS Foundation)
Stephanie Willes (NeurIPS Conference Staff)
Teresa M Auricchio (NeurIPS Staff)

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 »