| Generative adversarial nets I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... Advances in neural information processing systems 27, 2014 | 84218* | 2014 |
| Deep learning IJ Goodfellow, Y Bengio, A Courville Nature, 2016 | 70425 | 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 | 16448 | 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 | 12794 | 2015 |
| Improved training of wasserstein gans I Gulrajani, F Ahmed, M Arjovsky, V Dumoulin, AC Courville Advances in neural information processing systems 30, 2017 | 11922 | 2017 |
| 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 | 3674 | 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 | 3624 | 2010 |
| Estimating or propagating gradients through stochastic neurons for conditional computation Y Bengio, N Léonard, A Courville arXiv preprint arXiv:1308.3432, 2013 | 3233 | 2013 |
| Maxout networks I Goodfellow, D Warde-Farley, M Mirza, A Courville, Y Bengio International conference on machine learning, 1319-1327, 2013 | 3193 | 2013 |
| 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 | 2287* | 2016 |
| Challenges in representation learning: A report on three machine learning contests IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ... Neural information processing: 20th international conference, ICONIP 2013 …, 2013 | 2164 | 2013 |
| Film: Visual reasoning with a general conditioning layer E Perez, F Strub, H De Vries, V Dumoulin, A Courville Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 2074 | 2018 |
| 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 | 2039 | 2017 |
| Adversarially learned inference V Dumoulin, I Belghazi, B Poole, O Mastropietro, A Lamb, M Arjovsky, ... International Conference on Learning Representations (ICLR) 2017, 2016 | 1810 | 2016 |
| Visualizing higher-layer features of a deep network D Erhan, Y Bengio, A Courville, P Vincent University of Montreal 1341 (3), 1, 2009 | 1783 | 2009 |
| 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 | 1572 | 2013 |
| 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 28, 2015 | 1544 | 2015 |
| Mutual information neural estimation MI Belghazi, A Baratin, S Rajeshwar, S Ozair, Y Bengio, A Courville, ... International conference on machine learning, 531-540, 2018 | 1453 | 2018 |
| 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 | 1430 | 2007 |
| On the spectral bias of neural networks N Rahaman, A Baratin, D Arpit, F Draxler, M Lin, F Hamprecht, Y Bengio, ... International conference on machine learning, 5301-5310, 2019 | 1398 | 2019 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
