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Challenges in Representation Learning: A report on three machine learning contests

2013-07-01 · Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron Courville, Mehdi Mirza, Ben Hamner, Will Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Zhang Chuang, Yoshua Bengio

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.

📄 PDF Abstract BibTeX arXiv:1307.0414

Code (12)

Conero007/Emotion-Detection-Pytorch pytorch
NJNischal/Facial-Expression-Recognition-with-CNNs tf
chinhau-lim/fer2013 tf
chinhau-lim/fer_2013 tf
elangarka/Regularized-Xception-FER-Extra-Training-Data-Step-Decay-Learning-Rate
hemanshanand/Facial-Expression-Recognition tf
jannine92/supervised_emotion_recognition tf
justinshenk/fer tf
leorrose/Facial-Expression-Recognition tf
leorrose/Social-Network-Facial-Expression-Recognition tf
oellop/facial_expression tf
phamquiluan/ResidualMaskingNetwork pytorch

Tasks

BIG-bench Machine LearningFacial Expression RecognitionFacial Expression Recognition (FER)Representation Learning

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