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 Yann LeCun and Yoshua Bengio in 2012.
Editions
Year Location Country No. of Participants ...from No. of Countries No. of paper submissions ...thereof accepted Acceptance rate 2026 Rio de Janeiro ? 19,525 5,355 27% 2025 Singapore 11,039 85 11,603 3,704 31.92% 2024 Vienna 6,533 79 7,304 2,260 30.94% 2023 Kigali 3,758 73 4,955 1,575 31.79% 2022 (virtual conference) 5,200 81 3,422 1,095 32.00% 2021 Vienna (virtual conference) 6,300 64 3,014 860 28.53% 2020 Addis Ababa (virtual conference) 5,600 76 2,594 687 26.48% 2019 New Orleans, Louisiana 2,600 50 1,579 502 31.79% 2018 Vancouver 1,950 38 1,013 337 33.27% 2017 Toulon ? 490 198 40.41% 2016 San Juan, Puerto Rico ? ? 2015 San Diego, California ? ? 2014 Banff National Park ? 69 69 100.00% 2013 Scottsdale, Arizona ? 67 23 34.33%
See also
ICML NeurIPS AAAI Conference on Artificial Intelligence
Notes
References
External links Official website