| Show and tell: A neural image caption generator O Vinyals, A Toshev, S Bengio, D Erhan Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 6825 | 2015 |
| Understanding deep learning requires rethinking generalization C Zhang, S Bengio, M Hardt, B Recht, O Vinyals International Conference on Learning Representations (ICLR), 2017 | 5766* | 2017 |
| Adversarial examples in the physical world A Kurakin, I Goodfellow, S Bengio Workshop Track of the International Conference on Learning Representations …, 2017 | 5359 | 2017 |
| Why does unsupervised pre-training help deep learning? D Erhan, A Courville, Y Bengio, PA Manzagol, P Vincent, S Bengio Proceedings of the thirteenth international conference on artificial …, 2010 | 3351 | 2010 |
| Density estimation using Real NVP L Dinh, J Sohl-Dickstein, S Bengio International Conference on Learning Representations (ICLR), 2017 | 3006 | 2017 |
| Adversarial machine learning at scale A Kurakin, I Goodfellow, S Bengio International Conference on Learning Representations (ICLR), 2017 | 2975 | 2017 |
| Devise: A deep visual-semantic embedding model A Frome, GS Corrado, J Shlens, S Bengio, J Dean, MA Ranzato, ... Advances in neural information processing systems 26, 2013 | 2959 | 2013 |
| Generating sentences from a continuous space SR Bowman, L Vilnis, O Vinyals, AM Dai, R Jozefowicz, S Bengio SIGNLL Conference on Computational Natural Language Learning, CONLL, 2016, 2015 | 2459 | 2015 |
| Tacotron: Towards end-to-end speech synthesis Y Wang, RJ Skerry-Ryan, D Stanton, Y Wu, RJ Weiss, N Jaitly, Z Yang, ... Interspeech, 2017, 2017 | 2050* | 2017 |
| Scheduled sampling for sequence prediction with recurrent neural networks S Bengio, O Vinyals, N Jaitly, N Shazeer Advances in neural information processing systems 28, 2015 | 1999 | 2015 |
| Neural combinatorial optimization with reinforcement learning I Bello, H Pham, QV Le, M Norouzi, S Bengio Workshop Track of the International Conference on Learning Representations …, 2017 | 1388 | 2017 |
| SVMTorch: Support vector machines for large-scale regression problems R Collobert, S Bengio Journal of machine learning research 1 (Feb), 143-160, 2001 | 1223 | 2001 |
| Transfusion: Understanding transfer learning for medical imaging M Raghu, C Zhang, J Kleinberg, S Bengio Advances in neural information processing systems 32, 2019 | 1030 | 2019 |
| Zero-shot learning by convex combination of semantic embeddings M Norouzi, T Mikolov, S Bengio, Y Singer, J Shlens, A Frome, GS Corrado, ... International Conference on Learning Representations (ICLR), 2014 | 1017 | 2014 |
| Cluster-gcn: An efficient algorithm for training deep and large graph convolutional networks WL Chiang, X Liu, S Si, Y Li, S Bengio, CJ Hsieh Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 1000 | 2019 |
| Order matters: Sequence to sequence for sets O Vinyals, S Bengio, M Kudlur International Conference on Learning Representations (ICLR), 2016 | 990 | 2016 |
| Show and tell: Lessons learned from the 2015 mscoco image captioning challenge O Vinyals, A Toshev, S Bengio, D Erhan IEEE transactions on pattern analysis and machine intelligence 39 (4), 652-663, 2016 | 972 | 2016 |
| Large scale online learning of image similarity through ranking. G Chechik, V Sharma, U Shalit, S Bengio Journal of Machine Learning Research 11 (3), 2010 | 941 | 2010 |
| Wsabie: Scaling up to large vocabulary image annotation J Weston, S Bengio, N Usunier | 925 | 2011 |
| Proceedings of the 32nd International Conference on Neural Information Processing Systems S Bengio, HM Wallach, H Larochelle, K Grauman, N Cesa-Bianchi Curran Associates Inc., 2018 | 905 | 2018 |
Oriol VinyalsResearch Scientist at Google DeepMindVerified email at google.com
