NeurIPS 2026 - The Fortieth Annual Conference on Neural Information Processing Systems
ICC Sydney; Georgia World Congress Center; Palais des Congrès de Paris
Dec 6 - 14, 2026
ICC Sydney; Georgia World Congress Center; Palais des Congrès de Paris
Sydney, Atlanta, Paris, United States
Dec 6 - 14, 2026
Sydney, Atlanta, Paris, United States

About the Conference

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. 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.

This year NeurIPS will be held in Sydney, Atlanta, and Paris.

Subject Areas

Call for Papers Topics

Important Dates

2026-05-04 Paper Abstract Submission Deadline · Anywhere on Earth CLOSED
2026-05-06 Full Paper Submission Deadline · Anywhere on Earth CLOSED
2026-07-22 Reviews Released to Authors · Anywhere on Earth CLOSED
2026-07-27 Author + Reviewer + AC Discussion Period Starts · Anywhere on Earth CLOSED
2026-08-03 Author + Reviewer + AC Discussion Period Ends · Anywhere on Earth CLOSED
2026-09-24 Paper Author Notifications · Anywhere on Earth NEXT
2026-10-30 Early Registration Deadline · Anywhere on Earth
2026-12-06 Conference Dates · Main Sydney Dec 6-12; Satellites Atlanta/Paris Dec 9-13

Call For Papers

Call for Papers Topics

Computer vision Language and multimodal language models Robotics, embodied systems, and engineering AI/ML for physical sciences AI/ML for health and biotechnology AI/ML for sustainability AI/ML for social sciences AI/ML for creatives Neuroscience and cognitive science Socio-technical aspects of AI Human interaction in AI systems Decision-making, reinforcement learning, and control Generalization and multi-task learning Optimization Probabilistic methods AI and network science Data-centric aspects of AI SysML Infrastructure Theory Deep learning General machine learning: core contributions in supervised and unsupervised methods

Publication & Indexing

ProceedingsNeurIPS proceedings

Conference Organization

Organized by

Neural Information Processing Systems Foundation

Committee

General Chair

Hsuan-Tien Lin

National Taiwan University

Razvan Pascanu

Google DeepMind, Mila

Atlanta Satellite Chair

Mark Riedl

Georgia Institute of Technology

Irfan Essa

Georgia Tech & Google

Paris Satellite Chair

Olivier Cappé

CNRS

Laetitia Chapel

IRISA - Institut Agro

Rémi Flamary

École Polytechnique, Institut Polytechnique de Paris

Pierre Marion

INRIA

Linus Bleistein

EPFL

Edwige Cyffers

CNRS

Senior Program Chair

Finale Doshi-Velez

Harvard

Program Chair

Jenna Wiens

University of Michigan

David Rolnick

Mila

Nika Haghtalab

University of California, Berkeley

Marc Deisenroth

Google DeepMind

Assistant Program Chair

Caroline Weis

gsk.ai

Shengpu Tang

Emory University

Michael Ito

University of Michigan - Ann Arbor

Atlanta Satellite Program Chair

Zsolt Kira

Georgia Institute of Techology

Sara Fridovich-Keil

Georgia Tech

Paris Satellite Program Chair

Lorenzo Rosasco

Università degli Studi di Genova

Samuel Kaski

ELLIS Institute Finland

Senior Workshop Chair

Piotr Koniusz

University of New South Wales

Workshop Chair

Theodore Papamarkou

PolyShape

Khoa D Doan

VinUniversity

Shao-Hua Sun

National Taiwan University

Elisa Ricci

University of Trento

Ghada Zamzmi

Heartflow

Workshop Assistant Chair

Nina Corvelo Benz

Max-Planck Institute for Software Systems / ETH

Junhao Dong

Nanyang Technological University

Tutorial Chair

Yisen Wang

Peking University

Yingzhen Li

Imperial College London

Quentin Berthet

Google DeepMind

Matthew Fahrbach

Google

Krikamol Muandet

CISPA Helmholtz Center for Information Security

Evaluations and Datasets Track Chair

Lijun Wu

Shanghai AI Laboratory

Alexandre Drouin

ServiceNow Research / Mila

Jessica Schrouff

GSK

Joaquin Vanschoren

Eindhoven University of Technology, Google DeepMind

Konstantina Palla

Spotify

Evaluations and Datasets Track Assistant Chair

prabhant singh

TU Eindhoven

shubham Gupta

MILA

Position Paper Track Chair

David Rügamer

LMU Munich, MCML

Alex X Lu

Microsoft Research

Seth Lazar

Johns Hopkins University

Position Paper Track Assistant Chair

Stanley Bryan Hua

University of Toronto

Kathryne Metcalf

UC Berkeley

Theo Murray

Australian National University

Next Generation and Accessibility Chair

Ehsan Adeli

Stanford University

Ismini Lourentzou

University of Illinois Urbana-Champaign

Nicolas Papadakis

CNRS

Apoorva Beedu

Rivian VW Technology

Vineeth N Balasubramanian

Microsoft Research India and IIT Hyderabad

Communication Chair

Aadirupa Saha

UIC

Jean Kossaifi

NVIDIA Research

Feng Liu

University of Melbourne

Christian Wolf

Naver Labs Europe

Khimya Khetarpal

Google DeepMind

Social Chair

Haneul Yoo

New York University

Traian Rebedea

NVIDIA & UPB

Shoujin Wang

University of Technology Sydney

Ethics Review Chair

Stephanie Hyland

Microsoft Research

Olga Russakovsky

Princeton University

Emanuel Moss

Intel Labs / University of Virginia

Affinity Chair

Celia Cintas

IBM Research Africa

Sarthak Arora

UC Berkeley

Harshita Sahni

University of New Mexico

Yachna Sharma

Georgia Institute of Technology Alumni

Creative AI Track Chair

Piotr Mirowski

Google DeepMind

Yingtao Tian

Sakana AI

Immanuel Koh

Singapore University of Technology and Design

Creative AI Track Assistant Chair

Tom White

Victoria University of Wellington School of Design

Wei-Yao Wang

Sony Group Corporation

Journal Track Chair

Lam Nguyen

IBM Research, Thomas J. Watson Research Center

Masahiro Ikeda

The University of Osaka

Scientific Integrity Chair

Fei Fang

Carnegie Mellon University

Scientific Integrity Assistant Chair

Chenxin Dai

Carnegie Mellon University

Education Chair

Ulrich Paquet

Google DeepMind; AIMS South Africa

Daniela Massiceti

Canva Research

Noam Koenigstein

Tel Aviv University

Reproducibility Track Chair

Jessica Forde

Brown University

Koustuv Sinha

FAIR, Meta

Workflow Chair

Zhenyu (Sherry) Xue

NeurIPS

Competition Chair

Shou-De Lin

National Taiwan University

Jes Frellsen

Technical University of Denmark

Annika Reinke

German Cancer Research Center

Experiment Chair

Laurent Charlin

Mila

Joydeep Biswas

The University of Texas at Austin

Experiment Assistant Chair

Gaurav Sahu

Unified Sciences & Mila - Quebec AI Institute

Zichao Hu

University of Texas at Austin

Experiment Commitee

Walter Dempsey

University of Michigan

Reproducibility Track Committee

Ana Lucic

University of Amsterdam

Fernando P. Santos

University of Amsterdam

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