Challenges in representation learning: A report on three machine learning contests

@article{Goodfellow2013ChallengesIR,
  title={Challenges in representation learning: A report on three machine learning contests},
  author={I. Goodfellow and D. Erhan and P. Carrier and Aaron C. Courville and Mehdi Mirza and Benjamin Hamner and William Cukierski and Y. Tang and David Thaler and Dong-Hyun Lee and Yingbo Zhou and Chetan Ramaiah and Fangxiang Feng and Ruifan Li and X. Wang and Dimitris Athanasakis and J. Shawe-Taylor and Maxim Milakov and John Park and Radu Tudor Ionescu and Marius Popescu and C. Grozea and J. Bergstra and Jingjing Xie and Lukasz Romaszko and Bing Xu and Chuang Zhang and Yoshua Bengio},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={2013},
  volume={64},
  pages={
          59-63
        }
}
  • I. Goodfellow, D. Erhan, +25 authors Yoshua Bengio
  • Published 2013
  • Computer Science, Mathematics, Medicine
  • Neural networks : the official journal of the International Neural Network Society
The ICML 2013 Workshop on Challenges in Representation Learning(1) focused on three challenges: the black box learning challenge, the facial expression recognition challenge, and the multimodal learning challenge. We describe the datasets created for these challenges and summarize the results of the competitions. We provide suggestions for organizers of future challenges and some comments on what kind of knowledge can be gained from machine learning competitions. 
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