International Conference on Learning Representations

International Conference on Learning Representations
International Conference on Learning Representations
Abbreviation	ICLR
Discipline	Machine learning, artificial intelligence, feature learning
Publication details
History	2013–present
Frequency	Annual
Open access	yes (on openreview.net)
Website	https://iclr.cc/

The International Conference on Learning Representations (ICLR) is a machine learning conference typically held in late April or early May each year. Along with NeurIPS and ICML, it is one of the three primary conferences of high impact in machine learning and artificial intelligence research.^[1]

The conference includes invited talks as well as oral and poster presentations of refereed papers. Since its inception in 2013, ICLR has employed an open peer review process to referee paper submissions (based on models proposed by Yann LeCun^[2]). In 2019, there were 1591 paper submissions, of which 500 accepted with poster presentations (31%) and 24 with oral presentations (1.5%).^[3] In 2021, there were 2997 paper submissions, of which 860 were accepted (29%).^[4]