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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/
Part of a series on
Machine learning
and data mining
Paradigms
Problems
Clustering
Dimensionality reduction
Structured prediction
Anomaly detection
Artificial neural network
Reinforcement learning
Learning with humans
Model diagnostics
Mathematical foundations
Journals and conferences
Related articles

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]

Locations

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See also

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References

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  1. ^ "Artificial Intelligence - Google Scholar Metrics". scholar.google.es. Retrieved 2024-07-10.
  2. ^ "Proposal for A New Publishing Model in Computer Science". yann.lecun.com.
  3. ^ "ICLR 2019 Conference". openreview.net.
  4. ^ "ICLR 2021 Conference". openreview.net.
  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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