| 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 | 17273 | 2013 |
| A neural probabilistic language model Y Bengio, R Ducharme, P Vincent, C Janvin The Journal of Machine Learning Research 3, 1137-1155, 2003 | 12097 | 2003 |
| 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 | 9781 | 2008 |
| 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, L Bottou Journal of machine learning research 11 (12), 2010 | 9519 | 2010 |
| Why does unsupervised pre-training help deep learning? D Erhan, A Courville, Y Bengio, P Vincent Proceedings of the thirteenth international conference on artificial …, 2010 | 3738 | 2010 |
| 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 | 2102 | 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 | 1857 | 2009 |
| A connection between score matching and denoising autoencoders P Vincent Neural computation 23 (7), 1661-1674, 2011 | 1718 | 2011 |
| 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 | 1445 | 2004 |
| 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 | 1114 | 2016 |
| fastMRI: An open dataset and benchmarks for accelerated MRI J Zbontar, F Knoll, A Sriram, T Murrell, Z Huang, MJ Muckley, A Defazio, ... arXiv preprint arXiv:1811.08839, 2018 | 972 | 2018 |
| Modeling temporal dependencies in high-dimensional sequences: Application to polyphonic music generation and transcription N Boulanger-Lewandowski, Y Bengio, P Vincent arXiv preprint arXiv:1206.6392, 2012 | 966 | 2012 |
| Generalized denoising auto-encoders as generative models Y Bengio, L Yao, G Alain, P Vincent Advances in neural information processing systems 26, 2013 | 767 | 2013 |
| Unsupervised feature learning and deep learning: A review and new perspectives Y Bengio, AC Courville, P Vincent CoRR, abs/1206.5538 1 (2665), 2012, 2012 | 733 | 2012 |
| 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 | 661 | 2009 |
| 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 | 528 | 2016 |
| A variational inequality perspective on generative adversarial networks G Gidel, H Berard, G Vignoud, P Vincent, S Lacoste-Julien arXiv preprint arXiv:1802.10551, 2018 | 470 | 2018 |
| 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 | 451 | 2013 |
| Kernel matching pursuit P Vincent, Y Bengio Machine learning 48, 165-187, 2002 | 428 | 2002 |
| fastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning F Knoll, J Zbontar, A Sriram, MJ Muckley, M Bruno, A Defazio, M Parente, ... Radiology: Artificial Intelligence 2 (1), e190007, 2020 | 427 | 2020 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFAR在 umontreal.ca 的電子郵件地址已通過驗證
