Challenges in Representation Learning: A Report on Three Machine Learning Contests


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.

DOI: 10.1007/978-3-642-42051-1_16

Extracted Key Phrases

2 Figures and Tables

Citations per Year

75 Citations

Semantic Scholar estimates that this publication has 75 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@article{Goodfellow2013ChallengesIR, title={Challenges in Representation Learning: A Report on Three Machine Learning Contests}, author={Ian J. Goodfellow and Dumitru Erhan and Pierre Luc Carrier and Aaron C. Courville and Mehdi Mirza and Benjamin Hamner and William Cukierski and Yichuan Tang and David Thaler and Dong-Hyun Lee and Yingbo Zhou and Chetan Ramaiah and Fangxiang Feng and Ruifan Li and Xiaojie Wang and Dimitris Athanasakis and John Shawe-Taylor and Maxim Milakov and John Park and Radu Tudor Ionescu and Marius Popescu and Cristian Grozea and James 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} }