| Generative adversarial nets I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... Advances in neural information processing systems, 2672-2680, 2014 | 21381 | 2014 |
| Deep learning IJ Goodfellow, Y Bengio, A Courville Nature, 2016 | 18660 | 2016 |
| 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 | 7200 | 2013 |
| Show, attend and tell: Neural image caption generation with visual attention K Xu, J Ba, R Kiros, A Courville, R Salakhutdinov, R Zemel, Y Bengio Proceeding of the International Conference on Machine Learning (arXiv …, 2015 | 5507 | 2015 |
| Improved training of wasserstein gans I Gulrajani, F Ahmed, M Arjovsky, V Dumoulin, AC Courville Advances in neural information processing systems, 5767-5777, 2017 | 3247 | 2017 |
| Why does unsupervised pre-training help deep learning? D Erhan, A Courville, Y Bengio, P Vincent Proceedings of the Thirteenth International Conference on Artificial …, 2010 | 2258 | 2010 |
| Maxout networks I Goodfellow, D Warde-Farley, M Mirza, A Courville, Y Bengio International conference on machine learning, 1319-1327, 2013 | 2093 | 2013 |
| Brain tumor segmentation with deep neural networks M Havaei, A Davy, D Warde-Farley, A Biard, A Courville, Y Bengio, C Pal, ... Medical image analysis 35, 18-31, 2017 | 1474 | 2017 |
| Building end-to-end dialogue systems using generative hierarchical neural network models IV Serban, A Sordoni, Y Bengio, A Courville, J Pineau Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 1203 | 2016 |
| An empirical evaluation of deep architectures on problems with many factors of variation H Larochelle, D Erhan, A Courville, J Bergstra, Y Bengio Proceedings of the 24th international conference on Machine learning, 473-480, 2007 | 905 | 2007 |
| Adversarially learned inference V Dumoulin, I Belghazi, B Poole, O Mastropietro, A Lamb, M Arjovsky, ... arXiv preprint arXiv:1606.00704, 2016 | 801 | 2016 |
| Estimating or propagating gradients through stochastic neurons for conditional computation Y Bengio, N Léonard, A Courville arXiv preprint arXiv:1308.3432, 2013 | 799 | 2013 |
| Describing videos by exploiting temporal structure L Yao, A Torabi, K Cho, N Ballas, C Pal, H Larochelle, A Courville Proceedings of the IEEE international conference on computer vision, 4507-4515, 2015 | 754 | 2015 |
| Visualizing higher-layer features of a deep network D Erhan, Y Bengio, A Courville, P Vincent University of Montreal 1341 (3), 1, 2009 | 754 | 2009 |
| Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv, arXiv: 1605.02688, 2016 | 676* | 2016 |
| A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues IV Serban, A Sordoni, R Lowe, L Charlin, J Pineau, A Courville, Y Bengio | 621 | 2017 |
| A recurrent latent variable model for sequential data J Chung, K Kastner, L Dinh, K Goel, AC Courville, Y Bengio Advances in neural information processing systems, 2980-2988, 2015 | 582 | 2015 |
| Machine learning basics I Goodfellow, Y Bengio, A Courville Deep learning 1, 98-164, 2016 | 463 | 2016 |
| Unsupervised feature learning and deep learning: A review and new perspectives Y Bengio, AC Courville, P Vincent CoRR, abs/1206.5538 1, 2012, 2012 | 434 | 2012 |
| An empirical investigation of catastrophic forgetting in gradient-based neural networks IJ Goodfellow, M Mirza, D Xiao, A Courville, Y Bengio arXiv preprint arXiv:1312.6211, 2013 | 423 | 2013 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
