International Conference on Learning Representations

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

The International Conference on Learning Representations (ICLR) is a machine learning conference held every spring. 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[1]). In 2019, there were 1591 paper submissions, of which 500 accepted with poster presentations (31%) and 24 with oral presentations (1.5%).[2]. In 2021, there were 2997 paper submissions, of which 860 were accepted (29%).[3]. Along with ICML and NeurIPS, ICLR is one of the three major machine learning and artificial intelligence conferences, and has the highest impact of the three.[4]

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References[edit]

  1. ^ "Proposal for A New Publishing Model in Computer Science". yann.lecun.com.
  2. ^ "ICLR 2019 Conference". openreview.net.
  3. ^ "ICLR 2021 Conference". openreview.net.
  4. ^ "Artificial Intelligence - Google Scholar Metrics". web.archive.org. 2020-10-07. Retrieved 2020-10-07.
  5. ^ "Major AI conference is moving to Africa in 2020 due to visa issues". 19 November 2018.
  6. ^ "Major AI conference is moving to Africa in 2020 due to visa issues". VentureBeat. 2018-11-19. Retrieved 2020-10-07.

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