ICLR

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.

ICLR

Events

ICLR 2026

ICLR 2026

by ICLR

The 14th International Conference on Learning Representations (ICLR 2026). Submissions are invited from all areas of machine learning. Abstract submission is due Sep 19, full submission due Sep 24, reviews released Nov 11, author/reviewer discussion runs Nov 11-Dec 3, author last day to reply is Dec 3, and final decisions will be announced Jan 25 2026. All deadline times are 11:59pm UTC-12h (Anywhere on Earth). Submissions will be double blind, hosted on OpenReview, and the program will include oral presentations and posters of accepted papers.

machine learning
representation learning
call for papers
ICLR 2027

ICLR 2027

by ICLR

The Fifteenth International Conference on Learning Representations. The conference is a five-day multi-track event with a mix of invited talks, oral paper presentations, and poster sessions. The fourth and fifth day are workshops.

Apr 26, 2027 - Apr 30, 2027
San Francisco, USA
Deep Learning
Representation Learning
Machine Learning
ICLR 2024

ICLR 2024

by ICLR

The Twelfth annual ICLR conference, including conference sessions and workshops. Virtual Only Pass available from Tue May 7th through Sat May 11th. Conference Sessions run Tue May 7th through Fri May 10th, with Workshops on Sat May 11th. Registration covers both Conference Sessions and Workshops.

May 7, 2024 - May 11, 2024
Vienna, Austria
ICLR 2024
Deep Learning
Representation Learning