| International Conference on Learning Representations | |
| Abbreviation: | ICLR |
| Discipline: | Machine learning, artificial intelligence, feature learning |
| History: | 2013–present |
| Frequency: | Annual |
| Website: | https://iclr.cc/ |
| Openaccess: | yes (on openreview.net) |
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]
ICLR 2025, Singapore
ICLR 2024, Vienna, Austria
ICLR 2023, Kigali, Rwanda ICLR 2021, Vienna, Austria (virtual conference)
ICLR 2020, Addis Ababa, Ethiopia (virtual conference)[5] [6]
ICLR 2019, New Orleans, Louisiana, United States
ICLR 2018, Vancouver, Canada
ICLR 2017, Toulon, France ICLR 2016, San Juan, Puerto Rico, United States ICLR 2015, San Diego, California, United States ICLR 2014, Banff National Park, Canada ICLR 2013, Scottsdale, Arizona, United States