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

: Goodfellow,Ian J.; Erhan, Dumitru; Carrier, Pierre Luc; Courville, Aaron C.; Mirza, Mehdi; Hamner, Benjamin; Cukierski, William; Tang, Yichuan; Thaler, David; Lee, Dong-Hyun; Zhou, Yingbo; Ramaiah, Chetan; Feng, Fangxiang; Li, Ruifan; Wang, Xiaojie; Athanasakis, Dimitris; Shawe-Taylor, John; Milakov, Maxim; Park, John; Ionescu, Radu-Tudor; Popescu, Marius; Grozea, Cristian; Bergstra, James; Xie, Jingjing; Romaszko, Lukasz; Xu, Bing; Zhang, Chuang; Bengio, Yoshua

Volltext (PDF; )

Online im WWW, 2013, arXiv:1307.0414, 8 S.
Workshop on Challenges in Representation Learning <2013, Atlanta/Ga.>
International Conference on Machine Learning (ICML) <30, 2013, Atlanta/Ga.>
Bericht, Elektronische Publikation
Fraunhofer FOKUS ()
machine learning; challenge; face recognition; computer vision

The ICML 2013 Workshop on Challenges in Representation Learning 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.