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

Neural Networks · 2014 · Vol. 64 · pp. 59–63

Ian Goodfellow✉(Université de Montréal)Dumitru Erhan(Google (United States))Pierre Carrier(Université de Montréal)Aaron Courville(Université de Montréal)Mehdi Mirza(Université de Montréal)Ben HamnerWill CukierskiYichuan Tang(University of Toronto)David S. ThalerDong‐Hyun LeeYingbo Zhou(University at Buffalo, State University of New York)Chetan Ramaiah(University at Buffalo, State University of New York)Fangxiang Feng(Beijing University of Posts and Telecommunications)Ruifan Li(Beijing University of Posts and Telecommunications)Xiaojie Wang(Beijing University of Posts and Telecommunications)Dimitris Athanasakis(University College London)John Shawe‐Taylor(University College London)Maxim MilakovCheol ParkRadu Tudor Ionescu(University of Bucharest)Marius Popescu(University of Bucharest)Cristian GrozeaJames Bergstra(University of Waterloo)Jingjing Xie(Beijing University of Posts and Telecommunications)Łukasz RomaszkoBing Xu(Beijing University of Posts and Telecommunications)Chuang Zhang(Beijing University of Posts and Telecommunications)Yoshua Bengio(Université de Montréal)

Topic Modeling Multimodal Machine Learning Applications Domain Adaptation and Few-Shot LearningComputer scienceRepresentation (politics)Artificial intelligenceLearning to learnFeature learningMachine learningMathematics educationPsychology