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 highest impact and reputation in machine learning and artificial intelligence research.

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). It was founded by LeCun and Yoshua Bengio in 2012.

Editions

YearLocationCountryNo. of Participants...from No. of CountriesNo. of paper submissions...thereof acceptedAcceptance rate
2026Rio de JaneiroBrazil?18,9495,33928.18%
2025SingaporeSingapore?11,6723,70431.73%
2024ViennaAustria6,533797,3042,26030.94%
2023KigaliRwanda3,758734,9551,57531.79%
2022(virtual conference)5,200813,4221,09532.00%
2021ViennaAustria (virtual conference)6,300643,01486028.53%
2020Addis AbabaEthiopia (virtual conference)5,600762,59468726.48%
2019New Orleans, LouisianaUnited States2,600501,57950231.79%
2018VancouverCanada1,950381,01333733.27%
2017ToulonFrance?49019840.41%
2016San Juan, Puerto RicoUnited States??
2015San Diego, CaliforniaUnited States??
2014Banff National ParkCanada?6969100.00%
2013Scottsdale, ArizonaUnited States?672334.33%

See also

External links