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International Conference on Learning Representations
Academic conference in machine learning
International Conference on Learning Representations
The International Conference on Learning Representations (ICLR) is a machine learning conference typically held in late April or early May each year. Along with NeurIPS and ICML, it is one of the three primary conferences of highest impact and reputation in machine learning and artificial intelligence research. The conference includes invited talks as well as oral and poster presentations of refereed papers. Since its inception in 2013, ICLR has employed an open peer review process to referee paper submissions (based on models proposed by Yann LeCun). It was founded by Yann LeCun and Yoshua Bengio in 2012.
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