Skip to yearly menu bar Skip to main content


NeurIPS 2024

The Thirty-Eighth Annual Conference on Neural Information Processing Systems

Vancouver Convention Center

Tuesday Dec 10 through Sunday Dec 15

Vancouver Convention Center

Registration

To ensure there is room for authors and other presenters we are changing our usual first-come-first-served to a randomized lottery. The lottery does not affect existing registrations.

NeurIPS has contracted Hotel guest rooms for the Conference at group pricing, requiring reservations only through this page. Please do not make room reservations through any other channel, as it only impedes us from putting on the best Conference for you.

Announcements

Conference Date Change

The conference start date has been changed to Tuesday December 10 to support delegates arriving on Monday.

Visit Career Site »

Important Dates

Financial Assistance and Volunteer Applications closed Oct 01 '24 (Anywhere on Earth)
Workshop Accept/Reject Notification Date Oct 09 '24 (Anywhere on Earth)
Early Registration Deadline Oct 20 '24 (Anywhere on Earth)
Visa Application Deadline to Qualify for Extended Cancelation Deadline Oct 23 '24 (Anywhere on Earth)
Deadline to set your Dietary Preference Nov 01 '24 (Anywhere on Earth)
Last Chance for Registration Refund Nov 15 '24 11:00 PM PST *
All dates

Timezone:

Exhibitors

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

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

Organizing Committee

General Chair

Amir Globerson (Google)
Lester Mackey (Microsoft Research)

Program Chair

Angela Fan (Meta)
Cheng Zhang (GenAI, Meta)
Danielle Belgrave (GSK.ai)
Jakub Tomczak (Eindhoven University of Technology/CZI)
Ulrich Paquet (Google DeepMind; AIMS South Africa)

Program Chair Assistant

Babak Rahmani (Microsoft Research)
Caroline Weis (gsk.ai)
Francois Meyer (University of Cape Town)
Max Horn (GSK.ai)
Stefan Groha (GSK.ai)

Workshop Chair

Adil Salim (Microsoft Research)
Bo Han (HKBU / RIKEN)
Manuel Rodriguez (Max Planck Institute for Software Systems)
Rose Yu (UC San Diego)

Workshop Chair Assistant

Bo Zhao (University of California San Diego)
Jianing Zhu (HKBU)

Tutorial Chair

Andrew Dai (Google)
Gal Chechik (NVIDIA, Bar-Ilan University)
Irene Chen (UC Berkeley)

Competition Chair

Jake Albrecht (Bristol Myers Squibb)
Tao Qin (Microsoft Research AI4Science)

Data and Benchmark Chair

Francesco Locatello (ETH Zürich - MPI Tübingen)
Lingjuan Lyu (Sony AI)
Lora Aroyo (Google Research)

Diversity, Inclusion and Accessibility Chair

Isabel Valera (Saarland University, Saarbrücken)
William Yang Wang (University of California, Santa Barbara)

Affinity Chair

Ioana Bica (Google DeepMind)
Nezihe Merve Gürel (TU Delft)

Ethics Review Chair

Himabindu Lakkaraju (Harvard)
Jiahao Chen (New York City Office of Technology and Innovation)

Communication Chair

Alex X Lu (Microsoft Research)
Ehsan Adeli (Stanford University)
Yali Du (King's College London)

Social Chair

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

Journal Chair

Lam Nguyen (IBM Research, Thomas J. Watson Research Center)

Creative AI Chair

Jean Oh (CMU)
Marcelo Coelho (MIT)

Workflow Manager

Zhenyu (Sherry) Xue (NeurIPS Foundation)

Logistics and IT

Brad Brockmeyer (NeurIPS Staff)
Brian Nettleton (NeurIPS Staff)
Lee Campbell (NeurIPS Staff)
Max A Wiesner (NeurIPS Staff)
Stephanie Willes (NeurIPS Staff)
Terri Auricchio (NeurIPS Staff)
Tony Manzo (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 »