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
gollark: As in, monitor telephone calls, or get a smartphone or something to send audio data? I don't think either are *that* wildly insecure.
gollark: Which is arguably bad if you're *using* the currency, but means that a shared one is likely to cause politicking/not be adopted anyway.
gollark: A big issue with this is that in these days of modern economic whatever, control of a currency also allows financial hax which governments want to be able to do.
gollark: (And health services still have to prioritize treatments based on cost; they cannot give everyone arbitrarily expensive treatments)
gollark: Government incentives aren't always aligned with those of the people.

See also

References
  1. "First International Conference on Learning Representations(ICLR 2013) « Deep Learning". deeplearning.net.
  2. "Proposal for A New Publishing Model in Computer Science". yann.lecun.com.
  3. "ICLR 2019 Conference". openreview.net.
  4. "ICLR2020 as a Fully Virtual Conference". iclr.cc. Retrieved 2020-04-04.
  5. "Major AI conference is moving to Africa in 2020 due to visa issues". 19 November 2018.
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