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Yoshua Bengio

Affiliations: 
Université de Montréal, Montréal, Canada 
Area:
Computer Science
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"Yoshua Bengio"
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Parents

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Renato D. Mori grad student 1991 McGill
Michael I. Jordan post-doc MIT

Children

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Steven Pigeon grad student 2002 Université de Montréal
Charles Dugas grad student 2003 Université de Montréal
Joumana Ghosn grad student 2003 Université de Montréal
Pascal Vincent grad student 2004 Université de Montréal
James Bergstra grad student 2011 Université de Montréal
Dumitru Erhan grad student 2011 Université de Montréal
Olivier Delalleau grad student 2012 Université de Montréal
Philippe Hamel grad student 2012 Université de Montréal

Collaborators

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Aaron C. Courville collaborator Université de Montréal (Neurotree)
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Publications

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Verma V, Kawaguchi K, Lamb A, et al. (2021) Interpolation consistency training for semi-supervised learning. Neural Networks : the Official Journal of the International Neural Network Society. 145: 90-106
Lao Q, Jiang X, Havaei M, et al. (2021) A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay. Ieee Transactions On Neural Networks and Learning Systems
Cohen JP, Dao L, Roth K, et al. (2020) Predicting COVID-19 Pneumonia Severity on Chest X-ray With Deep Learning. Cureus. 12: e9448
Trofimov A, Cohen JP, Bengio Y, et al. (2020) Factorized embeddings learns rich and biologically meaningful embedding spaces using factorized tensor decomposition. Bioinformatics (Oxford, England). 36: i417-i426
Luccioni A, Bengio Y. (2020) On the Morality of Artificial Intelligence [Commentary] Ieee Technology and Society Magazine. 39: 16-25
Bengio Y, Lodi A, Prouvost A. (2020) Machine learning for combinatorial optimization: A methodological tour d’horizon European Journal of Operational Research
Sodhani S, Chandar S, Bengio Y. (2019) Toward Training Recurrent Neural Networks for Lifelong Learning. Neural Computation. 1-34
Richards BA, Lillicrap TP, Beaudoin P, et al. (2019) A deep learning framework for neuroscience. Nature Neuroscience. 22: 1761-1770
Kawaguchi K, Bengio Y. (2019) Depth with nonlinearity creates no bad local minima in ResNets. Neural Networks : the Official Journal of the International Neural Network Society. 118: 167-174
Jing L, Gulcehre C, Peurifoy J, et al. (2019) Gated Orthogonal Recurrent Units: On Learning to Forget. Neural Computation. 1-19
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