| 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 | 6785 | 2014 |
| Maxout networks IJ Goodfellow, D Warde-Farley, M Mirza, A Courville, Y Bengio arXiv preprint arXiv:1302.4389, 2013 | 1412 | 2013 |
| 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 | 1298 | 2016 |
| Conditional generative adversarial nets M Mirza, S Osindero arXiv preprint arXiv:1411.1784, 2014 | 1202 | 2014 |
| 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, 2016 | 390* | 2016 |
| Pylearn2: a machine learning research library IJ Goodfellow, D Warde-Farley, P Lamblin, V Dumoulin, M Mirza, ... arXiv preprint arXiv:1308.4214, 2013 | 266 | 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 | 208 | 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 | 176 | 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 | 166 | 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 | 142 | 2016 |
| Disentangling factors of variation for facial expression recognition S Rifai, Y Bengio, A Courville, P Vincent, M Mirza | 124 | 2012 |
| Multi-Prediction Deep Boltzmann Machines IJ Goodfellow, M Mirza, A Courville, Y Bengio | 96 | 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 | 20 | 2018 |
| 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 |
| FER-2013 face database PL Carrier, A Courville, IJ Goodfellow, M Mirza, Y Bengio Universit de Montral, 2013 | 13 | 2013 |
| Maxout networks (2013) IJ Goodfellow, D Warde-Farley, M Mirza, A Courville, Y Bengio arXiv preprint arXiv:1302.4389, 2017 | 6 | 2017 |
| Generalizable features from unsupervised learning M Mirza, A Courville, Y Bengio arXiv preprint arXiv:1612.03809, 2016 | 5 | 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 | 2 | 2018 |
| Ranking error-correcting output codes for class retrieval M Mirza-Mohammadi, F Ciompi, S Escalera, O Pujol, P Radeva CVC-IIR, 2009 | 2 | 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 | | 2018 |
Yoshua BengioProfessor, U. Montreal (Computer Sc. & Op. Res.), Mila, CIFAR, CRM, IVADO, REPARTI, GRSNCVerified email at mila.quebec