| 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 | 10871 | 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 | 1999 | 2016 |
| Conditional generative adversarial nets M Mirza, S Osindero arXiv preprint arXiv:1411.1784, 2014 | 1911 | 2014 |
| Maxout networks IJ Goodfellow, D Warde-Farley, M Mirza, A Courville, Y Bengio arXiv preprint arXiv:1302.4389, 2013 | 1687 | 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 | 499 | 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 | 290 | 2013 |
| Pylearn2: a machine learning research library IJ Goodfellow, D Warde-Farley, P Lamblin, V Dumoulin, M Mirza, ... arXiv preprint arXiv:1308.4214, 2013 | 275 | 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 | 242 | 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 | 207 | 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 | 191 | 2016 |
| Disentangling factors of variation for facial expression recognition S Rifai, Y Bengio, A Courville, P Vincent, M Mirza | 146 | 2012 |
| Multi-Prediction Deep Boltzmann Machines IJ Goodfellow, M Mirza, A Courville, Y Bengio | 108 | 2013 |
| Advances in neural information processing systems I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... Curran Associates, Inc, 8-13, 2014 | 69 | 2014 |
| Generative adversarial nets PA Jean, M Mehdi, X Bing, WF David, O Sherjil, C Aaron Advances in neural information processing systems, 2672-2680, 2014 | 58 | 2014 |
| & 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 | 52 | |
| 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 |
| Courville, and Y I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S OzairA Deep learning, 2016 | 17* | 2016 |
| FER-2013 face database PL Carrier, A Courville, IJ Goodfellow, M Mirza, Y Bengio Technical report, 2013 | 16 | 2013 |
| Maxout networks (2013) IJ Goodfellow, D Warde-Farley, M Mirza, A Courville, Y Bengio arXiv preprint arXiv:1302.4389, 2017 | 15 | 2017 |
| 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 |
Ian GoodfellowVerified email at cs.stanford.edu