Hugo Larochelle
Hugo Larochelle
Google Brain
Verified email at usherbrooke.ca - Homepage
TitleCited byYear
Greedy layer-wise training of deep networks
Y Bengio, P Lamblin, D Popovici, H Larochelle, U Montreal
Advances in neural information processing systems 19, 153, 2007
39392007
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
37242010
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
34302008
Practical bayesian optimization of machine learning algorithms
J Snoek, H Larochelle, RP Adams
Advances in neural information processing systems, 2951-2959, 2012
24222012
Domain-adversarial training of neural networks
Y Ganin, E Ustinova, H Ajakan, P Germain, H Larochelle, F Laviolette, ...
The Journal of Machine Learning Research 17 (1), 2096-2030, 2016
10112016
Brain tumor segmentation with deep neural networks
M Havaei, A Davy, D Warde-Farley, A Biard, A Courville, Y Bengio, C Pal, ...
Medical image analysis 35, 18-31, 2017
8822017
An empirical evaluation of deep architectures on problems with many factors of variation
H Larochelle, D Erhan, A Courville, J Bergstra, Y Bengio
Proceedings of the 24th international conference on Machine learning, 473-480, 2007
7632007
Exploring strategies for training deep neural networks
H Larochelle, Y Bengio, J Louradour, P Lamblin
Journal of machine learning research 10 (Jan), 1-40, 2009
7582009
Classification using discriminative restricted boltzmann machines
H Larochelle, Y Bengio
Proceedings of the 25th international conference on Machine learning, 536-543, 2008
7022008
Autoencoding beyond pixels using a learned similarity metric
ABL Larsen, SK Sønderby, H Larochelle, O Winther
arXiv preprint arXiv:1512.09300, 2015
6202015
Efficient learning of deep boltzmann machines
R Salakhutdinov, H Larochelle
International Conference on Artificial Intelligence and Statistics, 2010
5952010
Describing videos by exploiting temporal structure
L Yao, A Torabi, K Cho, N Ballas, C Pal, H Larochelle, A Courville
Proceedings of the IEEE international conference on computer vision, 4507-4515, 2015
5802015
Optimization as a model for few-shot learning
S Ravi, H Larochelle
4212016
The Neural Autoregressive Distribution Estimator
H Larochelle, I Murray
AISTATS, 2011
3122011
Deep learning with coherent nanophotonic circuits
Y Shen, NC Harris, S Skirlo, M Prabhu, T Baehr-Jones, M Hochberg, ...
Nature Photonics 11 (7), 441, 2017
3112017
An autoencoder approach to learning bilingual word representations
SC AP, S Lauly, H Larochelle, M Khapra, B Ravindran, VC Raykar, ...
Advances in Neural Information Processing Systems, 1853-1861, 2014
2232014
Learning to combine foveal glimpses with a third-order Boltzmann machine
H Larochelle, G Hinton
Image 1, x2, 2010
2212010
Zero-data learning of new tasks
H Larochelle, D Erhan, Y Bengio
AAAI Conference on Artificial Intelligence 1 (2), 2.2, 2008
2142008
Learning algorithms for the classification restricted boltzmann machine
H Larochelle, M Mandel, R Pascanu, Y Bengio
Journal of Machine Learning Research 13 (Mar), 643-669, 2012
2022012
Advances in Neural Information Processing Systems 9: Proceedings of the 1996 Conference
MC Mozer, MI Jordan, T Petsche
Mit Press, 1997
197*1997
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Articles 1–20