As machine learning conferences grow, we as a community need to put more thought and planning into maintaining a fair review process. During the recent round of reviews, several issues pertaining to academic integrity came to our attention. This prompted us to conduct an investigation, including, e.g., partnering with sister conferences for checking for dual submissions. | ICLR Blog
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 when these mistakes are accounted for, there are parts of the research and reviewing process where using an LLM might be inappropriate. | blog.iclr.cc
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 when these mistakes are accounted for, there are parts of the research and reviewing process where using an LLM might be inappropriate. | ICLR Blog
Part of the ICLR experience is meeting people and talking with them about their research interests and experiences. To facilitate these conversations, we are thrilled to announce the third iteration of Mentoring Chats at ICLR (previously called Office Hours). The Mentoring Chats will be 45-minute round-table sessions, held during lunch (12:30-1:15 pm and 1:15-2:00 pm) […]| ICLR Blog
Awards Committee: Cordelia Schmid, Guy Van der Broek, Jun Zhu, Katerina Fragkiadaki, Lihong Li, Luke Zettlemoyer, Natasha Jaques, Tao Yu, Yarin Gal Selection Process The ICLR 2025 Outstanding Paper Committee went through a two-stage selection process to identify a collection of outstanding papers and honorable mentions that showcase excellent research presented at this conference. The […]| ICLR Blog
(This post is written by James Zou, Associate Program Chair for ICLR 2025, and Nitya Thakkar) Peer review is a key element of research and innovation. However, it faces growing strain from the rapidly rising volume of paper submissions, particularly at AI conferences; as a result, authors increasingly express dissatisfaction with low-quality reviews. Therefore, there […]| ICLR Blog
We are honored to announce the Test of Time awards for ICLR 2025. This award recognizes papers published ten years ago at ICLR 2015 that have had a lasting impact on the field. The 2025 program chairs and general chair reviewed the papers published at ICLR 2015, and selected the two papers below for their profound influence and impact on machine learning today.| ICLR Blog
We are pleased to announce the keynote speakers for ICLR 2025. These speakers were selected to cover a range of topics, both within core machine learning as well as application areas. Those attending ICLR can see the full schedule online.| ICLR Blog
By ICLR 2025 Workshop Chairs: Yanan Sui, Pierre Alquier, Nezihe Merve Gürel, Luis Oala, Adji Bousso Dieng| ICLR Blog
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Last year, the International Conference on Learning Representations (ICLR) hosted a select subset of papers published at the Transactions on Machine Learning Research (TMLR) as ICLR poster presentations. We have received positive feedback on this pilot program from both participants at ICLR as well as the presenters of these TMLR papers. We are thus running another year of the TMLR-to-ICLR pilot program at the upcoming ICLR (2025).| ICLR Blog
ICLR is in its 12th year! For the inaugural ICLR Test of Time award, the Program Chairs examined papers from ICLR 2013 & 2014, and looked for ones with long-lasting impact. | ICLR Blog