| Generative adversarial networks I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... Communications of the ACM 63 (11), 139-144, 2020 | 66844* | 2020 |
| Conditional generative adversarial nets M Mirza, S Osindero arXiv preprint arXiv:1411.1784, 2014 | 11473 | 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 | 9637 | 2016 |
| Maxout networks I Goodfellow, D Warde-Farley, M Mirza, A Courville, Y Bengio International conference on machine learning, 1319-1327, 2013 | 2987 | 2013 |
| Challenges in representation learning: A report on three machine learning contests IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ... Neural Information Processing: 20th International Conference, ICONIP 2013 …, 2013 | 1661 | 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 | 1206 | 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 | 1072* | 2016 |
| 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, 99-111, 2016 | 467 | 2016 |
| 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 | 407 | 2013 |
| Pylearn2: a machine learning research library IJ Goodfellow, D Warde-Farley, P Lamblin, V Dumoulin, M Mirza, ... arXiv preprint arXiv:1308.4214, 2013 | 361 | 2013 |
| Disentangling factors of variation for facial expression recognition S Rifai, Y Bengio, A Courville, P Vincent, M Mirza | 256 | 2012 |
| Multi-Prediction Deep Boltzmann Machines IJ Goodfellow, M Mirza, A Courville, Y Bengio | 197 | 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 | 179 | 2018 |
| 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), 5223, 2019 | 106 | 2019 |
| FER-2013 face database PL Carrier, A Courville, IJ Goodfellow, M Mirza, Y Bengio Universit de Montral 3, 2013 | 96 | 2013 |
| An investigation of model-free planning A Guez, M Mirza, K Gregor, R Kabra, S Racanière, T Weber, D Raposo, ... International Conference on Machine Learning, 2464-2473, 2019 | 81 | 2019 |
| & Bengio, Y.(2014). Generative adversarial networks IJ Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... arXiv preprint arXiv:1406.2661, 26 | 57 | 26 |
| Probing physics knowledge using tools from developmental psychology L Piloto, A Weinstein, D TB, A Ahuja, M Mirza, G Wayne, D Amos, C Hung, ... arXiv preprint arXiv:1804.01128, 2018 | 27 | 2018 |
| Retrieval-augmented reinforcement learning A Goyal, A Friesen, A Banino, T Weber, NR Ke, AP Badia, A Guez, ... International Conference on Machine Learning, 7740-7765, 2022 | 22 | 2022 |
| Generalizable features from unsupervised learning M Mirza, A Courville, Y Bengio arXiv preprint arXiv:1612.03809, 2016 | 15 | 2016 |
Ian GoodfellowDeepMindVerified email at deepmind.com
