2026 The Fourteenth International Conference on Learning Representations

Riocentro Convention and Event Center

Apr 23 - 28, 2026

Riocentro Convention and Event Center

Rio de Janeiro, Brazil

Apr 23 - 28, 2026

Rio de Janeiro, Brazil

About the Conference

The International Conference on Learning Representations (ICLR) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence called representation learning, but generally referred to as deep learning.

ICLR is globally renowned for presenting and publishing cutting-edge research on all aspects of deep learning used in the fields of artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, text understanding, gaming, and robotics.

ICLR is one of the fastest growing artificial intelligence conferences in the world. Participants at ICLR span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.

Subject Areas

Important Dates

2026-04-23 Conference Dates · April 23-27, 2026; Main Conference April 23-25, Workshops April 26-27 CLOSED

2025-12-29 Registration Open · Anywhere on Earth CLOSED

2025-09-19 Abstract Submission Deadline · 11:59pm Anywhere on Earth CLOSED

2025-09-24 Paper Submission Deadline · 11:59pm Anywhere on Earth CLOSED

2025-11-11 Paper Reviews Released To Authors · 09:00 PM UTC CLOSED

2025-12-03 Author, Reviewer, A C - Discussion Ends · 09:00 PM UTC CLOSED

2026-01-25 Paper Decision Notification · Anywhere on Earth CLOSED

2026-03-14 Early Registration Deadline · Anywhere on Earth CLOSED

Call For Papers

Subject Areas

unsupervised, self-supervised, semi-supervised, and supervised representation learning transfer learning, meta learning, and lifelong learning reinforcement learning representation learning for computer vision, audio, language, and other modalities metric learning, kernel learning probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.) generative models causal reasoning optimization learning theory learning on graphs and other geometries & topologies societal considerations including fairness, safety, privacy visualization or interpretation of learned representations datasets and benchmarks infrastructure, software libraries, hardware, etc. neurosymbolic & hybrid AI systems (physics-informed, logic & formal reasoning, etc.) applications to robotics, autonomy, planning applications to neuroscience & cognitive science applications to physical sciences (physics, chemistry, biology, etc.) general machine learning (i.e., none of the above)

Conference Organization

Organized by

International Conference on Learning Representations

Committee

General Chair

Carl Vondrick

Columbia University & Apple

Senior Program Chair

Bharath Hariharan

Cornell University

Program Chair

Colin Raffel

University of Toronto, Vector Institute and Hugging Face

Lerrel Pinto

New York University

Diyi Yang

Stanford University

Aleksandra Faust

Google DeepMind

Ethics Review Chair

TY Chang

Dora Zhao

Stanford University

Ninareh Mehrabi

Meta

Jieyu Zhao

University of Southern California

Ziyi Liu

University of Southern California Microsoft

Workflow Chair

Zhenyu (Sherry) Xue

ICLR

Program Committee Representative

Talha Irfan

ICLR

Senior Workshop Chair

Yanan Sui

Tsinghua University

Workshop Chair

Adji Bousso Dieng

Princeton University

Nezihe Merve Gürel

TU Delft

Andre Araujo

Google DeepMind

Mentor Chair

Yuntian Deng

University of Waterloo

Evan Shelhamer

UBC / Vector

Financial and Participation Chair

Pablo Samuel Castro

Google DeepMind / U. de Montreal / Mila

Erin Grant

New York University / University of Alberta

Blog Post Chair

David Dobre

Mila

Nicholas Gao

Technical University Munich

Leo Schwinn

Technical University Munich

Sophie Xhonneux

Mila/University of Montreal

Jonas Köhler

CuspAI

Volunteer Chair

Amith Ananthram

Columbia University

Noah Bergam

Columbia University

Social Chair

Carlo D Eramo

University of Würzburg / TU Darmstadt