| Generative adversarial networks IJ Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... arXiv preprint arXiv:1406.2661, 2014 | 32399 | 2014 |
| Deep learning IJ Goodfellow, Y Bengio, A Courville Nature, 2016 | 28120 | 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 | 9198 | 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 | 7252 | 2015 |
| Improved training of wasserstein gans I Gulrajani, F Ahmed, M Arjovsky, V Dumoulin, A Courville arXiv preprint arXiv:1704.00028, 2017 | 4976 | 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 | 2600 | 2010 |
| Maxout networks I Goodfellow, D Warde-Farley, M Mirza, A Courville, Y Bengio International conference on machine learning, 1319-1327, 2013 | 2417 | 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 | 1988 | 2017 |
| Building end-to-end dialogue systems using generative hierarchical neural network models I Serban, A Sordoni, Y Bengio, A Courville, J Pineau Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 1515* | 2016 |
| Estimating or propagating gradients through stochastic neurons for conditional computation Y Bengio, N Léonard, A Courville arXiv preprint arXiv:1308.3432, 2013 | 1124 | 2013 |
| Adversarially learned inference V Dumoulin, I Belghazi, B Poole, O Mastropietro, A Lamb, M Arjovsky, ... International Conference on Learning Representations (ICLR) 2016, 2016 | 1067 | 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 | 1053 | 2007 |
| Visualizing higher-layer features of a deep network D Erhan, Y Bengio, A Courville, P Vincent University of Montreal 1341 (3), 1, 2009 | 1031 | 2009 |
| 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 | 940 | 2015 |
| A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues IV Serban, A Sordoni, R Lowe, L Charlin, J Pineau, A Courville, Y Bengio | 795 | 2017 |
| A recurrent latent variable model for sequential data J Chung, K Kastner, L Dinh, K Goel, A Courville, Y Bengio arXiv preprint arXiv:1506.02216, 2015 | 790 | 2015 |
| Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv e-prints, arXiv: 1605.02688, 2016 | 786* | 2016 |
| Challenges in representation learning: A report on three machine learning contests IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ... International conference on neural information processing, 117-124, 2013 | 760 | 2013 |
| Machine learning basics I Goodfellow, Y Bengio, A Courville Deep learning 1, 98-164, 2016 | 679 | 2016 |
| A closer look at memorization in deep networks D Arpit, S Jastrzębski, N Ballas, D Krueger, E Bengio, MS Kanwal, ... International Conference on Machine Learning, 233-242, 2017 | 610 | 2017 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
