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 | 5555 | 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 | 5166 | 2008 |
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 | 2421 | 2010 |
Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv, arXiv: 1605.02688, 2016 | 631 | 2016 |
The difficulty of training deep architectures and the effect of unsupervised pre-training D Erhan, PA Manzagol, Y Bengio, S Bengio, P Vincent Artificial Intelligence and Statistics, 153-160, 2009 | 452 | 2009 |
Topmoumoute online natural gradient algorithm NL Roux, PA Manzagol, Y Bengio Advances in neural information processing systems, 849-856, 2008 | 177 | 2008 |
Theano: A Python framework for fast computation of mathematical expressions TTD Team, R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, ... arXiv preprint arXiv:1605.02688, 2016 | 123 | 2016 |
Meta-dataset: A dataset of datasets for learning to learn from few examples E Triantafillou, T Zhu, V Dumoulin, P Lamblin, U Evci, K Xu, R Goroshin, ... arXiv preprint arXiv:1903.03096, 2019 | 120 | 2019 |
On the Use of Sparce Time Relative Auditory Codes for Music. PA Manzagol, T Bertin-Mahieux, D Eck ISMIR, 603-608, 2008 | 33 | 2008 |
Negative eigenvalues of the Hessian in deep neural networks G Alain, NL Roux, PA Manzagol arXiv preprint arXiv:1902.02366, 2019 | 14 | 2019 |
Discovery of digital goods in an online marketplace CP Nygaard, O Gershony, S Doyon, TC Hesterberg, PA Manzagol US Patent App. 13/654,766, 2013 | 10 | 2013 |
Learning to fix build errors with graph2diff neural networks D Tarlow, S Moitra, A Rice, Z Chen, PA Manzagol, C Sutton, E Aftandilian Proceedings of the IEEE/ACM 42nd International Conference on Software …, 2020 | 8 | 2020 |
Reducing the variance in online optimization by transporting past gradients S Arnold, PA Manzagol, RB Harikandeh, I Mitliagkas, N Le Roux Advances in Neural Information Processing Systems, 5391-5402, 2019 | 6 | 2019 |
On the interplay between noise and curvature and its effect on optimization and generalization V Thomas, F Pedregosa, B Merriënboer, PA Manzagol, Y Bengio, ... International Conference on Artificial Intelligence and Statistics, 3503-3513, 2020 | 5 | 2020 |
Task switching or task launching based on a ranked list of tasks PJ Beaudoin, TC Huang, R Lee, PA Manzagol, RDP McFarlane, ... US Patent App. 14/446,760, 2018 | 5 | 2018 |
Mirex special tagatune evaluation submission PA Manzagol, S Bengio Music Information Retrieval Evaluation Music Information Retrieval …, 2009 | 4 | 2009 |
Deep Learning with Denoising Autoencoders.[J] P Vincent, H Larochelle, Y Bengio, PA Manzagol Journal of Machine Learning 27, 49-50, 2008 | 2 | 2008 |
Why Does Unsupervised Pre-training Help Deep Discriminant Learning? D Erhan, Y Bengio, A Courville, PA Manzagol, P Vincent, S Bengio | 1 | 2009 |
Online variance-reducing optimization N Le Roux, R Babanezhad, PA Manzagol | | 2018 |
TONGA: un algorithme de gradient naturel pour les problèmes de grande taille PA Manzagol | | 2008 |