| Generative adversarial nets IJ Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... Advances in neural information processing systems 27, 2014 | 108583* | 2014 |
| Deep learning Y LeCun, Y Bengio, G Hinton nature 521 (7553), 436-444, 2015 | 107728 | 2015 |
| Deep learning I Goodfellow, Y Bengio, A Courville MIT press 1 (2), 2016 | 90858 | 2016 |
| Gradient-based learning applied to document recognition Y LeCun, L Bottou, Y Bengio, P Haffner Proceedings of the IEEE 86 (11), 2278-2324, 2002 | 82531 | 2002 |
| Neural machine translation by jointly learning to align and translate D Bahdanau, K Cho, Y Bengio arXiv preprint arXiv:1409.0473, 2014 | 41899 | 2014 |
| Learning phrase representations using RNN encoder-decoder for statistical machine translation K Cho, B Van Merriënboer, C Gulcehre, D Bahdanau, F Bougares, ... arXiv preprint arXiv:1406.1078, 2014 | 38346 | 2014 |
| Graph attention networks P Velickovic, G Cucurull, A Casanova, A Romero, P Lio, Y Bengio stat 1050 (20), 10-48550, 2017 | 33778* | 2017 |
| Understanding the difficulty of training deep feedforward neural networks X Glorot, Y Bengio Proceedings of the thirteenth international conference on artificial …, 2010 | 29415 | 2010 |
| Empirical evaluation of gated recurrent neural networks on sequence modeling J Chung, C Gulcehre, KH Cho, Y Bengio arXiv preprint arXiv:1412.3555, 2014 | 21525 | 2014 |
| Representation learning: A review and new perspectives Y Bengio, A Courville, P Vincent IEEE transactions on pattern analysis and machine intelligence 35 (8), 1798-1828, 2013 | 19375 | 2013 |
| Random search for hyper-parameter optimization J Bergstra, Y Bengio The journal of machine learning research 13 (1), 281-305, 2012 | 16507 | 2012 |
| Learning long-term dependencies with gradient descent is difficult Y Bengio, P Simard, P Frasconi IEEE transactions on neural networks 5 (2), 157-166, 1994 | 14675 | 1994 |
| Deep sparse rectifier neural networks X Glorot, A Bordes, Y Bengio Proceedings of the fourteenth international conference on artificial …, 2011 | 14365 | 2011 |
| Show, attend and tell: Neural image caption generation with visual attention K Xu, J Ba, R Kiros, K Cho, A Courville, R Salakhudinov, R Zemel, ... International conference on machine learning, 2048-2057, 2015 | 14349 | 2015 |
| Learning deep architectures for AI Y Bengio Foundations and Trends® in Finance 2 (1), 1-127, 2009 | 13435 | 2009 |
| A Neural probabilistic language model Y Bengio, R Ducharme, P Vincent Journal of Machine Learning Research 3, 1137-1155, 2003 | 12966 | 2003 |
| How transferable are features in deep neural networks? J Yosinski, J Clune, Y Bengio, H Lipson Advances in neural information processing systems 27, 2014 | 12753 | 2014 |
| On the properties of neural machine translation: Encoder-decoder approaches K Cho, B Van Merriënboer, D Bahdanau, Y Bengio arXiv preprint arXiv:1409.1259, 2014 | 10969 | 2014 |
| Extracting and composing robust features with denoising autoencoders P Vincent, H Larochelle, Y Bengio, PA Manzagol Proceedings of the 25th international conference on Machine learning, 1096-1103, 2008 | 10654 | 2008 |
| Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. P Vincent, H Larochelle, I Lajoie, Y Bengio, PA Manzagol, L Bottou Journal of machine learning research 11 (12), 2010 | 10113 | 2010 |
Aaron CourvilleFull Professor, DIRO, Université de Montréal, Mila, Cifar CAI chairVerified email at umontreal.ca
