| Representation learning: A review and new perspectives Y Bengio, A Courville, P Vincent IEEE transactions on pattern analysis and machine intelligence 35 (8), 1798-1828, 2013 | 6416 | 2013 |
| A neural probabilistic language model Y Bengio, R Ducharme, P Vincent, C Janvin The Journal of Machine Learning Research 3, 1137-1155, 2003 | 5883 | 2003 |
| Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion P Vincent, H Larochelle, I Lajoie, Y Bengio, PA Manzagol Journal of machine learning research 11 (Dec), 3371-3408, 2010 | 4578 | 2010 |
| Extracting and composing robust features with denoising autoencoders P Vincent, H Larochelle, Y Bengio, PA Manzagol Proceedings of the 25th international conference on Machine learning, 1096-1103, 2008 | 4217 | 2008 |
| Why does unsupervised pre-training help deep learning? D Erhan, Y Bengio, A Courville, PA Manzagol, P Vincent, S Bengio Journal of Machine Learning Research 11 (Feb), 625-660, 2010 | 2096 | 2010 |
| Out-of-sample extensions for lle, isomap, mds, eigenmaps, and spectral clustering Y Bengio, JF Paiement, P Vincent, O Delalleau, N Le Roux, M Ouimet Advances in neural information processing systems 16, 177-184, 2004 | 1148 | 2004 |
| Contractive auto-encoders: Explicit invariance during feature extraction S Rifai, P Vincent, X Muller, X Glorot, Y Bengio Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011 | 1070 | 2011 |
| Visualizing higher-layer features of a deep network D Erhan, Y Bengio, A Courville, P Vincent Dept. IRO, Université de Montréal, Tech. Rep, 2009 | 662 | 2009 |
| 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 | 591 | 2016 |
| High-dimensional sequence transduction N Boulanger-Lewandowski, Y Bengio, P Vincent Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International …, 2013 | 562 | 2013 |
| High-dimensional sequence transduction N Boulanger-Lewandowski, Y Bengio, P Vincent 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 562 | 2013 |
| The difficulty of training deep architectures and the effect of unsupervised pre-training D Erhan, PA Manzagol, Y Bengio, S Bengio, P Vincent International Conference on artificial intelligence and statistics, 153-160, 2009 | 407 | 2009 |
| Unsupervised feature learning and deep learning: A review and new perspectives Y Bengio, AC Courville, P Vincent CoRR, abs/1206.5538 1, 2012, 2012 | 397 | 2012 |
| Generalized denoising auto-encoders as generative models Y Bengio, L Yao, G Alain, P Vincent Advances in neural information processing systems, 899-907, 2013 | 391 | 2013 |
| Kernel matching pursuit P Vincent, Y Bengio Machine learning 48 (1-3), 165-187, 2002 | 349 | 2002 |
| Learning eigenfunctions links spectral embedding and kernel PCA Y Bengio, O Delalleau, NL Roux, JF Paiement, P Vincent, M Ouimet Neural computation 16 (10), 2197-2219, 2004 | 281 | 2004 |
| 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 | 250 | 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 | 248 | 2013 |
| The manifold tangent classifier S Rifai, YN Dauphin, P Vincent, Y Bengio, X Muller Advances in neural information processing systems, 2294-2302, 2011 | 230 | 2011 |
| K-local hyperplane and convex distance nearest neighbor algorithms P Vincent, Y Bengio Advances in Neural Information Processing Systems, 985-992, 2001 | 224 | 2001 |
Yoshua BengioProfessor, University of Montreal (Computer Sc. & Op. Res.), Mila, CIFAR, CRM, IVADO, REPARTI, GRSNCVerified email at mila.quebec
