International Conference on Learning Representations

Academic conference in machine learning / From Wikipedia, the free encyclopedia

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The International Conference on Learning Representations (ICLR) is a machine learning conference typically held in late April or early May each year. 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].

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