| Generative adversarial nets I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... Advances in neural information processing systems, 2672-2680, 2014 | 12240 | 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 | 2184 | 2016 |
| Conditional generative adversarial nets M Mirza, S Osindero arXiv preprint arXiv:1411.1784, 2014 | 2119 | 2014 |
| Maxout networks IJ Goodfellow, D Warde-Farley, M Mirza, A Courville, Y Bengio arXiv preprint arXiv:1302.4389, 2013 | 1751 | 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 preprint arXiv:1605.02688, 2016 | 519 | 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 | 314 | 2013 |
| Pylearn2: a machine learning research library IJ Goodfellow, D Warde-Farley, P Lamblin, V Dumoulin, M Mirza, ... arXiv preprint arXiv:1308.4214, 2013 | 276 | 2013 |
| 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 | 270 | 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 | 215 | 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 | 205 | 2016 |
| Disentangling factors of variation for facial expression recognition S Rifai, Y Bengio, A Courville, P Vincent, M Mirza | 149 | 2012 |
| Multi-Prediction Deep Boltzmann Machines IJ Goodfellow, M Mirza, A Courville, Y Bengio | 109 | 2013 |
| & Bengio, Y.(2014). Generative adversarial nets I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... Advances in neural information processing systems 27, 0 | 63 | |
| 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 | 44 | 2018 |
| FER-2013 face database PL Carrier, A Courville, IJ Goodfellow, M Mirza, Y Bengio Technical report, 2013 | 18 | 2013 |
| Generative adversarial nets. Advances in Neural Information Processing Systems I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... | 14 | 2014 |
| Contextual-guided bag-of-visual-words model for multi-class object categorization M Mirza-Mohammadi, S Escalera, P Radeva International Conference on Computer Analysis of Images and Patterns, 748-756, 2009 | 14 | 2009 |
| Optimizing agent behavior over long time scales by transporting value CC Hung, T Lillicrap, J Abramson, Y Wu, M Mirza, F Carnevale, A Ahuja, ... arXiv preprint arXiv:1810.06721, 2018 | 11 | 2018 |
| Generalizable features from unsupervised learning M Mirza, A Courville, Y Bengio arXiv preprint arXiv:1612.03809, 2016 | 8 | 2016 |
| Probing physics knowledge using tools from developmental psychology L Piloto, A Weinstein, A Ahuja, M Mirza, G Wayne, D Amos, C Hung, ... arXiv preprint arXiv:1804.01128, 2018 | 6 | 2018 |
Ian GoodfellowVerified email at cs.stanford.edu