International Conference on Learning Representations

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.

International Conference on Learning Representations
AbbreviationICLR
DisciplineMachine learning, artificial intelligence, feature learning
Publication details
History2013–present
FrequencyAnnual
Open access
yes (on openreview.net)
Websitehttps://iclr.cc/

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

Year Location Country No. of Participants ...from No. of Countries No. of paper submissions ...thereof accepted Acceptance rate
2026 Rio de Janeiro Brazil ? 18,949 5,339 28.18%
2025 Singapore Singapore ? 11,672 3,704 31.73%
2024 Vienna Austria 6,533 79 7,304 2,260 30.94%
2023 Kigali Rwanda 3,758 73 4,955 1,575 31.79%
2022 (virtual conference) 5,200 81 3,422 1,095 32.00%
2021 Vienna Austria (virtual conference) 6,300 64 3,014 860 28.53%
2020 Addis Ababa Ethiopia (virtual conference) 5,600 76 2,594 687 26.48%
2019 New Orleans, Louisiana United States 2,600 50 1,579 502 31.79%
2018 Vancouver Canada 1,950 38 1,013 337 33.27%
2017 Toulon France ? 490 198 40.41%
2016 San Juan, Puerto Rico United States ? ?
2015 San Diego, California United States ? ?
2014 Banff National Park Canada ? 69 69 100.00%
2013 Scottsdale, Arizona United States ? 67 23 34.33%

See also

  • ICML
  • NeurIPS
  • AAAI Conference on Artificial Intelligence

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