International Conference on Learning Representations

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. The first ICLR was held in Scottsdale, Arizona.[1] 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]

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/

Locations

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See also

References

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