Microsoft (United States) (US)
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H-index
183
Publications
1281
Citations
443796
i10-index
711
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Sign Up Free| Title | Year | Citations |
|---|---|---|
Deep learning | 2015 | 78982 |
Gradient-based learning applied to document recogn... | 1998 | 56927 |
Learning Phrase Representations using RNN Encoder–... | 2014 | 23898 |
Generative adversarial networks | 2020 | 12971 |
Representation Learning: A Review and New Perspect... | 2013 | 12707 |
Understanding the difficulty of training deep feed... | 2010 | 12636 |
Empirical Evaluation of Gated Recurrent Neural Net... | 2014 | 10748 |
Deep Learning | 2016 | 8918 |
Learning long-term dependencies with gradient desc... | 1994 | 8294 |
Graph Attention Networks | 2017 | 8273 |
Yoshua Bengio is a researcher with 1281 publications and 443796 citations. They are affiliated with Microsoft (United States). Their research focuses on . With an h-index of 183, they are among the top researchers in their field.
Distribution of citations across publications
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Citations per publication by year