| Contractive auto-encoders: Explicit invariance during feature extraction S Rifai, P Vincent, X Muller, X Glorot, Y Bengio Proceedings of the Twenty-eight International Conference on Machine Learning …, 2011 | 1317 | 2011 |
| Better mixing via deep representations Y Bengio, G Mesnil, Y Dauphin, S Rifai International conference on machine learning, 552-560, 2013 | 277 | 2013 |
| The manifold tangent classifier S Rifai, YN Dauphin, P Vincent, Y Bengio, X Muller Advances in neural information processing systems 24, 2294-2302, 2011 | 263 | 2011 |
| Unsupervised and transfer learning challenge: a deep learning approach GMY Dauphin, X Glorot, S Rifai, Y Bengio, I Goodfellow, E Lavoie, ... Proceedings of ICML Workshop on Unsupervised and Transfer Learning, 97-110, 2012 | 212 | 2012 |
| Disentangling factors of variation for facial expression recognition S Rifai, Y Bengio, A Courville, P Vincent, M Mirza European Conference on Computer Vision, 808-822, 2012 | 194 | 2012 |
| Higher order contractive auto-encoder S Rifai, G Mesnil, P Vincent, X Muller, Y Bengio, Y Dauphin, X Glorot Joint European conference on machine learning and knowledge discovery in …, 2011 | 185 | 2011 |
| Deep learners benefit more from out-of-distribution examples Y Bengio, F Bastien, A Bergeron, N Boulanger–Lewandowski, T Breuel, ... Proceedings of the Fourteenth International Conference on Artificial …, 2011 | 120 | 2011 |
| A generative process for sampling contractive auto-encoders S Rifai, Y Bengio, Y Dauphin, P Vincent arXiv preprint arXiv:1206.6434, 2012 | 74 | 2012 |
| Adding noise to the input of a model trained with a regularized objective S Rifai, X Glorot, Y Bengio, P Vincent arXiv preprint arXiv:1104.3250, 2011 | 53 | 2011 |
| Regularized auto-encoders estimate local statistics G Alain, Y Bengio, S Rifai ICLR, 2013 | 28 | 2013 |
| Deep self-taught learning for handwritten character recognition F Bastien, Y Bengio, A Bergeron, N Boulanger-Lewandowski, T Breuel, ... arXiv preprint arXiv:1009.3589, 2010 | 19 | 2010 |
| Unsupervised learning of semantics of object detections for scene categorization G Mesnil, S Rifai, A Bordes, X Glorot, Y Bengio, P Vincent Pattern Recognition Applications and Methods, 209-224, 2015 | 18 | 2015 |
| Learning invariant features through local space contraction S Rifai, X Muller, X Glorot, G Mesnil, Y Bengio, P Vincent arXiv preprint arXiv:1104.4153, 2011 | 17 | 2011 |
| Implicit density estimation by local moment matching to sample from auto-encoders Y Bengio, G Alain, S Rifai arXiv preprint arXiv:1207.0057, 2012 | 12 | 2012 |
| Unsupervised and Transfer Learning under Uncertainty-From Object Detections to Scene Categorization. G Mesnil, S Rifai, A Bordes, X Glorot, Y Bengio, P Vincent ICPRAM, 345-354, 2013 | 11 | 2013 |
| A generative process for contractive auto-encoders S Rifai, Y Dauphin, P Vincent, Y Bengio ICML, 2012 | 3 | 2012 |
| Contracting auto-encoders S Rifai, P Vincent, X Muller, X Glorot, Y Bengio International Conference on Machine Learning (ICML), 95, 2011 | 2 | 2011 |
| Unsupervised and Transfer Learning under Uncertainty G Mesnil, S Rifai, A Bordes, X Glorot, Y Bengio, P Vincent | | |
| Fall detection using outlier analysis S Rifai | | |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
