One of the big changes we’ve made at ICLR this year is a set of policies that effectively “rate-limit” submissions—a 20-paper limit for all authors, and a 1-paper limit for submissions by “new authors” (defined as people who have never published at a major AI / ML / CV / robotics / NLP conference). We […]

Guest Post by the ICLR 2026 Outstanding Paper Committee (Gautam Kamath (chair), Yoav Artzi, Emma Brunskill, Murat Erdogdu, Pang Wei Koh, Yong Jae Lee, Subhransu Maji, Doina Precup, Ohad Shamir, Guy Van den Broeck, Kilian Weinberger, Luke Zettlemoyer) We are pleased to recognize the following two Outstanding Papers and one Honorable Mention for ICLR 2026. […]

We are honored to announce the Test of Time awards for ICLR 2026. This award recognizes papers published ten years ago at ICLR 2016 that have had a lasting impact on the field. The 2026 program chairs reviewed the papers published at ICLR 2016, and selected the two papers below for their profound influence and […]

ICLR 2026 is in one week! We have an exciting lineup of posters and orals. We also have six exciting keynotes covering a range of areas from core machine learning to robotics, neuroscience and AI for science! Those who are attending can see the full schedule here. Maja Matarić The Challenges of Human-Centered AI and […]

The selection of papers for ICLR 2026 has fully concluded. We extend our congratulations to the authors whose work will appear at the conference. Creating ICLR’s technical program requires immense effort from the authors, reviewers, and area chairs, and we thank you for your contributions and service. For researchers whose work was rejected, we hope […]

Workshop Chairs: Andre Araujo, Adji Bousso Dieng, Nezihe Merve Gürel, Yanan Sui TLDR: Accepted Workshops at ICLR 2026 (ordered by submission ID) ICLR 2026 Workshop on AI with Recursive Self-Improvement Catch, Adapt, and Operate: Monitoring ML Models Under Drift AI for Peace AI for Mechanism Design and Strategic Decision Making (AIMS) Workshop on Multi-Agent Learning […]

The International Conference on Learning Representations (ICLR) strongly supports the mission of OpenReview to promote openness in scientific communication. OpenReview has been instrumental in enabling open peer review and community engagement, which aligns with ICLR’s commitment to advancing reproducible and inclusive research practices. Earlier this year ICLR committed to doubling its regular contribution to OpenReview. […]

This post is an update on a major security incident in the ICLR 2026 peer review process and our response. A quick overview of timeline and activities related to the security incident is as follows:  On Nov 27, ICLR was notified of an OpenReview API exploit capable of leaking the otherwise anonymous names of authors, […]

In the past few days, there have been many concerns raised about potential LLM-generated papers and low quality LLM-generated reviews. We take these concerns seriously, and we want to update the community on the steps we are taking and will be taking over the next two weeks.These steps below are based on the policies we […]

The use of large language models (LLMs) is becoming an increasingly common part of many stages of the scientific process, from research ideation to paper writing to writing experiment code and beyond. While LLMs can speed up and improve the research we do, they also make mistakes, including hallucinating facts or making incorrect assertions. Even […]