International Conference on Learning Representations
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|International Conference on Learning Representations|
|Discipline||Machine learning, artificial intelligence, feature learning|
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. Since its inception in 2013, ICLR has employed an open peer review process to referee paper submissions (based on models proposed by Yann LeCun). In 2019, there were 1591 paper submissions, of which 500 accepted with poster presentations (31%) and 24 with oral presentations (1.5%).
- ICLR 2020, Addis Ababa, Ethiopia
- ICLR 2019, New Orleans, United States
- ICLR 2018, Vancouver, Canada
- ICLR 2017, Toulon, France
- ICLR 2016, San Juan, Puerto Rico
- ICLR 2015, San Diego, United States
- ICLR 2014, Banff National Park, Canada
- ICLR 2013, Scottsdale, United States
- "First International Conference on Learning Representations(ICLR 2013) « Deep Learning". deeplearning.net.
- "Proposal for A New Publishing Model in Computer Science". yann.lecun.com.
- "ICLR 2019 Conference". openreview.net.
- "Major AI conference is moving to Africa in 2020 due to visa issues". 19 November 2018.