International Conference on Learning Representations

The International Conference on Learning Representations (ICLR) is an international academic conference in machine learning. ICLR (pronounced "I CLeaR") was first held in 2013, chaired by Yoshua Bengio and Yann LeCun. Because data representation has a large effect on the overall performance of machine learning methods, the conference is generally concerned with "how we can best learn meaningful and useful representations of data." ICLR is open to a broad range of learning related topics, including deep learning, and a wide range of applied domains, such as vision to speech recognition and gaming. The event includes a conference track and a workshop track. Awards are given for Best Paper and Best Review. ICLR is sponsored by the Computational and Biological Learning Society (CBLS). Attendance has had rapid growth with estimates for 2015 and 2016 were near 400 and 500.
ICLR has used from the start, a novel experimental open review process for paper submission and acceptance.
History
ICLR had its origins in the invitation-only Learning Workshop at Snowbird from 1986 to 2012. The creation of ICLR lead CBLS to phase out the Snowbird Workshop. The workshop was also where the had its origins.
Meetings
* ICLR 2017 Toulon, France
* ICLR 2016 San Juan, Puerto Rico
* ICLR 2015 San Diego, California
* ICLR 2014 Banff, Canada
* ICLR 2013 Scottsdale, Arizona

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