| Generative adversarial networks IJ Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... arXiv preprint arXiv:1406.2661, 2014 | 27360 | 2014 |
| Deep learning I Goodfellow, Y Bengio, A Courville, Y Bengio MIT press 1 (2), 2016 | 24738 | 2016 |
| Tensorflow: A system for large-scale machine learning M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... 12th {USENIX} symposium on operating systems design and implementation …, 2016 | 17676* | 2016 |
| TensorFlow: Large-scale machine learning on heterogeneous systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... | 8151 | 2015 |
| Explaining and Harnessing Adversarial Examples I Goodfellow, J Shlens, C Szegedy ICLR, 2014 | 6662 | 2014 |
| Intriguing properties of neural networks C Szegedy, W Zaremba, I Sutskever, J Bruna, D Erhan, I Goodfellow, ... arXiv preprint arXiv:1312.6199, 2013 | 6196 | 2013 |
| Improved techniques for training gans T Salimans, I Goodfellow, W Zaremba, V Cheung, A Radford, X Chen arXiv preprint arXiv:1606.03498, 2016 | 4574 | 2016 |
| Adversarial examples in the physical world A Kurakin, I Goodfellow, S Bengio | 2316 | 2016 |
| Maxout networks I Goodfellow, D Warde-Farley, M Mirza, A Courville, Y Bengio International conference on machine learning, 1319-1327, 2013 | 2299 | 2013 |
| Practical black-box attacks against machine learning N Papernot, P McDaniel, I Goodfellow, S Jha, ZB Celik, A Swami Proceedings of the 2017 ACM on Asia conference on computer and …, 2017 | 1604 | 2017 |
| Adversarial autoencoders A Makhzani, J Shlens, N Jaitly, I Goodfellow, B Frey arXiv preprint arXiv:1511.05644, 2015 | 1575 | 2015 |
| Deep learning with differential privacy M Abadi, A Chu, I Goodfellow, HB McMahan, I Mironov, K Talwar, L Zhang Proceedings of the 2016 ACM SIGSAC conference on computer and communications …, 2016 | 1569 | 2016 |
| Theano: new features and speed improvements F Bastien, P Lamblin, R Pascanu, J Bergstra, I Goodfellow, A Bergeron, ... arXiv preprint arXiv:1211.5590, 2012 | 1521 | 2012 |
| Self-attention generative adversarial networks H Zhang, I Goodfellow, D Metaxas, A Odena International conference on machine learning, 7354-7363, 2019 | 1319 | 2019 |
| Adversarial machine learning at scale A Kurakin, I Goodfellow, S Bengio arXiv preprint arXiv:1611.01236, 2016 | 1269 | 2016 |
| Nips 2016 tutorial: Generative adversarial networks I Goodfellow arXiv preprint arXiv:1701.00160, 2016 | 1181 | 2016 |
| Ensemble adversarial training: Attacks and defenses F Tramèr, A Kurakin, N Papernot, I Goodfellow, D Boneh, P McDaniel arXiv preprint arXiv:1705.07204, 2017 | 1136 | 2017 |
| Transferability in machine learning: from phenomena to black-box attacks using adversarial samples N Papernot, P McDaniel, I Goodfellow arXiv preprint arXiv:1605.07277, 2016 | 853 | 2016 |
| Unsupervised learning for physical interaction through video prediction C Finn, I Goodfellow, S Levine arXiv preprint arXiv:1605.07157, 2016 | 692 | 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 | 648 | 2013 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARAdresse e-mail validée de umontreal.ca
