International Conference on Learning Representations
 | The topic of this article may not meet Wikipedia's notability guidelines for companies and organizations. (December 2018) |
| International Conference on Learning Representations | |
|---|---|
| Abbreviation | ICLR |
| Discipline | Machine learning, artificial intelligence, feature learning |
| Publication details | |
| History | 2013–present |
| Frequency | Annual |
| yes (on openreview.net) | |
| Website | https://iclr.cc/ |
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]
Locations
ICLR 2020, Virtual (Online) Conference[4] Addis Ababa, Ethiopia[5]
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
See also
References
- ^ "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.
- ^ "ICLR2020 as a Fully Virtual Conference". iclr.cc. Retrieved 2020-04-04.
- ^ "Major AI conference is moving to Africa in 2020 due to visa issues". 19 November 2018.