International Conference on Learning Representations

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International Conference on Learning Representations
DisciplineMachine learning, artificial intelligence, feature learning
Publication details

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]


See also[edit]


  1. ^ "First International Conference on Learning Representations(ICLR 2013) « Deep Learning".
  2. ^ "Proposal for A New Publishing Model in Computer Science".
  3. ^ "ICLR 2019 Conference".
  4. ^ "Major AI conference is moving to Africa in 2020 due to visa issues". 19 November 2018.

External links[edit]