Y
Yichuan Tang
Researcher at University of Toronto
Publications - 27
Citations - 4574
Yichuan Tang is an academic researcher from University of Toronto. The author has contributed to research in topics: Generative model & Artificial neural network. The author has an hindex of 21, co-authored 27 publications receiving 3750 citations. Previous affiliations of Yichuan Tang include Apple Inc. & University of Waterloo.
Papers
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Journal ArticleDOI
A Large-Scale Model of the Functioning Brain
Chris Eliasmith,Terrence C. Stewart,Xuan Choo,Trevor Bekolay,Travis DeWolf,Yichuan Tang,Daniel Rasmussen +6 more
TL;DR: A 2.5-million-neuron model of the brain (called “Spaun”) is presented that bridges the gap between neural activity and biological function by exhibiting many different behaviors and is presented only with visual image sequences.
Posted Content
Deep Learning using Linear Support Vector Machines
TL;DR: The results using L2-SVMs show that by simply replacing softmax with linear SVMs gives significant gains on popular deep learning datasets MNIST, CIFAR-10, and the ICML 2013 Representation Learning Workshop's face expression recognition challenge.
Book ChapterDOI
Challenges in Representation Learning: A Report on Three Machine Learning Contests
Ian Goodfellow,Dumitru Erhan,Pierre Luc Carrier,Aaron Courville,Mehdi Mirza,Ben Hamner,William 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 +27 more
TL;DR: 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.
Posted Content
Challenges in Representation Learning: A report on three machine learning contests
Ian Goodfellow,Dumitru Erhan,Pierre Luc Carrier,Aaron Courville,Mehdi Mirza,Ben Hamner,William 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 +27 more
TL;DR: 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 as mentioned in this paper.
Journal ArticleDOI
Challenges in representation learning
Ian Goodfellow,Dumitru Erhan,Pierre Luc Carrier,Aaron Courville,Mehdi Mirza,Ben Hamner,William 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 +27 more
TL;DR: The datasets created for these challenges are described, the results of the competitions are summarized, and some comments are provided on what kind of knowledge can be gained from machine learning competitions.