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Yoshua Bengio

Yoshua Bengio is Full Professor of the Department of Computer Science and Operations Research, head of the Machine Learning Laboratory (LISA), CIFAR Fellow in the Neural Computation and Adaptive Perception program, Canada Research Chair in Statistical Learning Algorithms, and he also holds the NSERC-Ubisoft industrial chair. His main research ambition is to understand principles of learning that yield intelligence. He teaches a graduate course in Machine Learning (IFT6266) and supervises a large group of graduate students and post-docs. His research is widely cited (over 16000 citations found by Google Scholar in early 2014, with an H-index of 55). Yoshua Bengio is currently action editor for the Journal of Machine Learning Research, editor for Foundations and Trends in Machine Learning, and has been associate editor for the Machine Learning Journal and the IEEE Transactions on Neural Networks. Yoshua Bengio was Program Chair for NIPS'2008 and General Chair for NIPS'2009 (NIPS i
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Recurrent Neural Networks (RNNs)

Yoshua Bengio

calendar icon Oct 11, 2018 5132 views

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Recurrent Neural Networks (RNNs)

Yoshua Bengio

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Recurrent Neural Networks

Yoshua Bengio

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Deep Generative Models

Yoshua Bengio

calendar icon Sep 13, 2015 20225 views

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Deep Learning:Theoretical Motivations

Yoshua Bengio

calendar icon Sep 13, 2015 88804 views

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Scaling Up Deep Learning

Yoshua Bengio

calendar icon Oct 7, 2014 26277 views

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GSNs: Avoiding the Intractability of Marginalization by Learning the Transition ...

Yoshua Bengio

calendar icon Oct 6, 2014 2052 views

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The Neural Autoregressive Distribution Estimator, incl. discussion by Yoshua Ben...

Hugo Larochelle,

Yoshua Bengio

calendar icon May 6, 2011 7379 views

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Learning Deep Hierarchies of Representations

Yoshua Bengio

calendar icon Oct 7, 2009 20090 views

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Curriculum Learning

Yoshua Bengio

calendar icon Aug 26, 2009 8100 views

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