| 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 | 46904 | 2014 |
| Conditional generative adversarial nets M Mirza, S Osindero arXiv preprint arXiv:1411.1784, 2014 | 8142 | 2014 |
| Asynchronous methods for deep reinforcement learning V Mnih, AP Badia, M Mirza, A Graves, T Lillicrap, T Harley, D Silver, ... International conference on machine learning, 1928-1937, 2016 | 7037 | 2016 |
| Maxout networks I Goodfellow, D Warde-Farley, M Mirza, A Courville, Y Bengio International conference on machine learning, 1319-1327, 2013 | 2732 | 2013 |
| 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 | 1105 | 2013 |
| 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 | 963* | 2016 |
| 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 | 853 | 2013 |
| Emonets: Multimodal deep learning approaches for emotion recognition in video SE Kahou, X Bouthillier, P Lamblin, C Gulcehre, V Michalski, K Konda, ... Journal on Multimodal User Interfaces 10 (2), 99-111, 2016 | 413 | 2016 |
| Pylearn2: a machine learning research library IJ Goodfellow, D Warde-Farley, P Lamblin, V Dumoulin, M Mirza, ... arXiv preprint arXiv:1308.4214, 2013 | 353 | 2013 |
| Combining modality specific deep neural networks for emotion recognition in video SE Kahou, C Pal, X Bouthillier, P Froumenty, Ç Gülçehre, R Memisevic, ... Proceedings of the 15th ACM on International conference on multimodal …, 2013 | 352 | 2013 |
| Disentangling factors of variation for facial expression recognition S Rifai, Y Bengio, A Courville, P Vincent, M Mirza | 233 | 2012 |
| Generative adversarial nets J Goodfellow Ian, PA Jean, M Mehdi, X Bing, WF David, O Sherjil, ... Proceedings of the 27th international conference on neural information …, 2014 | 201 | 2014 |
| Conditional generative adversarial nets (2014) M Mirza, S Osindero arXiv preprint arXiv:1411.1784 2, 2014 | 200 | 2014 |
| Generative adversarial networks. arXiv 2014 IJ Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... arXiv preprint arXiv:1406.2661, 2021 | 185 | 2021 |
| Multi-Prediction Deep Boltzmann Machines IJ Goodfellow, M Mirza, A Courville, Y Bengio | 179 | 2013 |
| Unsupervised predictive memory in a goal-directed agent G Wayne, CC Hung, D Amos, M Mirza, A Ahuja, A Grabska-Barwinska, ... arXiv preprint arXiv:1803.10760, 2018 | 148 | 2018 |
| Bing, Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and, Yoshua Bengio I Goodfellow, J Pouget-Abadie, M Mirza Generative adversarial nets. In, NeurIPS 1 (2), 2014 | 135 | 2014 |
| Generative adversarial nets M Mirza, B Xu, D Warde-Farley, S Ozair, A Courville, Y Bengio, ... Proceedings of the Advances in Neural Information Processing Systems 27 …, 2014 | 94 | 2014 |
| Proceedings of the 33rd International Conference on Machine Learning V Mnih, AP Badia, M Mirza, A Graves, T Lillicrap, T Harley, D Silver, ... PMLR 48, 1928-1937, 2016 | 80 | 2016 |
| Optimizing agent behavior over long time scales by transporting value CC Hung, T Lillicrap, J Abramson, Y Wu, M Mirza, F Carnevale, A Ahuja, ... Nature communications 10 (1), 1-12, 2019 | 78 | 2019 |
Ian GoodfellowVerified email at cs.stanford.edu
