|
Thesis
- Études de techniques d'appentissage non-supervisé pour l'amélioration de l'entraînement supervisé de modèles connexionnistes
[pdf]
Hugo Larochelle,
Ph.D. thesis, Université de Montréal, 2009
Journal papers
- Detonation Classification from Acoustic Signature with the Restricted Boltzmann Machine [pdf]
Yoshua Bengio, Nicolas Chapados, Olivier Delalleau, Hugo Larochelle, Xavier Saint-Mleux, Christian Hudon and Jérôme Louradour,
Computational Intelligence, to appear, 2011
- Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion [pdf]
Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio and Pierre-Antoine Manzagol,
Journal of Machine Learning Research, 11(Dec): 3371--3408, 2010
- Tractable Multivariate Binary Density Estimation
and the Restricted Boltzmann Forest [pdf]
Hugo Larochelle, Yoshua Bengio and Joseph Turian,
Neural Computation, 22(9): 2285-2307, 2010
- Exploring Strategies for Training Deep Neural Networks
[pdf]
Hugo Larochelle, Yoshua Bengio, Jérôme Louradour and Pascal Lamblin,
Journal of Machine Learning Research, 10(Jan): 1--40, 2009
- Non-Local Estimation of Manifold Structure
[pdf]
[ps]
Yoshua Bengio, Martin Monperrus and Hugo Larochelle,
Neural Computation, 18(10): 2509-2528, 2006
Conference Papers
- Classification of Sets using Restricted Boltzmann Machines [pdf] [supp] [arxiv]
Jérôme Louradour and Hugo Larochelle,
Uncertainty in Artificial Intelligence, 2011
- Conditional Restricted Boltzmann Machines for Structured Output Prediction [pdf]
Volodymyr Mnih, Hugo Larochelle and Geoffrey Hinton,
Uncertainty in Artificial Intelligence, 2011
- Learning Attentional Policies for Tracking and Recognition in Video with Deep Networks [pdf] [youtube]
Loris Bazzani, Nando de Freitas, Hugo Larochelle, Vittorio Murino and Jo-Anne Ting,
International Conference on Machine Learning proceedings, 2011
- The Neural Autoregressive Distribution Estimator [pdf] [code]
Hugo Larochelle and Iain Murray,
Artificial Intelligence and Statistics, 2011
Notable Paper Award
- Learning to combine foveal glimpses with a third-order Boltzmann machine [pdf] [supp] [faces video]
Hugo Larochelle and Geoffrey Hinton,
Advances in Neural Information Processing Systems 23, 2010
- Efficient Learning of Deep Boltzmann Machines [pdf][code]
Ruslan Salakhutdinov and Hugo Larochelle,
Artificial Intelligence and Statistics, 2010
- Deep Learning using Robust Interdependent Codes [pdf]
Hugo Larochelle, Dumitru Erhan and Pascal Vincent,
Artificial Intelligence and Statistics, 2009
- Classification using Discriminative Restricted Boltzmann Machines [pdf]
Hugo Larochelle and Yoshua Bengio,
International Conference on Machine Learning proceedings, 2008
- Extracting and Composing Robust Features with Denoising Autoencoders
[pdf]
Pascal Vincent, Hugo Larochelle, Yoshua Bengio and Pierre-Antoine Manzagol,
International Conference on Machine Learning proceedings, 2008
- Zero-data Learning of New Tasks [pdf]
Hugo Larochelle, Dumitru Erhan and Yoshua Bengio,
AAAI Conference on Artificial Intelligence, 2008
- An Empirical Evaluation of Deep Architectures on Problems with Many Factors of Variation [pdf][html]
Hugo Larochelle, Dumitru Erhan, Aaron Courville, James Bergstra and Yoshua Bengio,
International Conference on Machine Learning proceedings, 2007
- Greedy Layer-Wise Training of Deep Networks [pdf]
Yoshua Bengio, Pascal Lamblin, Dan Popovici and Hugo Larochelle,
Advances in Neural Information Processing Systems 19, 2007
- Non-Local Manifold Parzen Windows [pdf]
Yoshua Bengio, Hugo Larochelle and Pascal Vincent,
Advances in Neural Information Processing Systems 18, 2006
Technical Reports
- Classification of Sets using Restricted Boltzmann Machines [arxiv]
Jérôme Louradour and Hugo Larochelle,
arXiv, 2011
- Autotagging music with conditional restricted Boltzmann machines [arxiv]
Michael Mandel, Razvan Pascanu, Hugo Larochelle and Yoshua Bengio,
arXiv, 2011
- Extracting and Composing Robust Features with Denoising Autoencoders
[pdf]
Pascal Vincent, Hugo Larochelle, Yoshua Bengio and Pierre-Antoine Manzagol,
Technical Report #1316, Département d'informatique et recherche opérationnelle,
Université de Montréal, 2008
- Distributed Representation Prediction for Generalization to New Words
[pdf]
Hugo Larochelle and Yoshua Bengio,
Technical Report #1284, Département d'informatique et recherche opérationnelle,
Université de Montréal, 2006
- Greedy Layer-Wise Training of Deep Networks
[pdf]
Yoshua Bengio, Pascal Lamblin, Dan Popovici and Hugo Larochelle,
Technical Report #1282, Département d'informatique et recherche opérationnelle,
Université de Montréal, 2006
- Non-Local Manifold Parzen Windows
[pdf]
[ps]
Yoshua Bengio and Hugo Larochelle,
Technical Report #1264, Département d'informatique et recherche opérationnelle,
Université de Montréal, 2005
Others
- Classification using Discriminative Restricted Boltzmann Machines
[pdf]
Hugo Larochelle and Yoshua Bengio,
MITACS Second Canada-France Congress,
Third place at poster competition,
Montreal, Canada, 2008
- Deep Woods
[pdf]
Yoshua Bengio, Hugo Larochelle and Joseph Turian,
Poster presented at the Learning@Snowbird Workshop,
Snowbird, USA, 2008
- Generalization to a zero-data task: an empirical study [pdf] [ps]
Hugo Larochelle, Dumitru Erhan and Yoshua Bengio
Talk and poster presented at the Learning Workshop,
San Juan, Puerto Rico, 2007
- Didactiel sur les réseaux de neurones en traitement
de la langue [pdf]
Hugo Larochelle,
Talk in the RALI-OLST seminar series
Université de Montréal, 2006
- Non-Local Manifold Parzen Windows [pdf]
Yoshua Bengio, Hugo Larochelle and Pascal Vincent,
Talk at the CIAR Summer School,
University of Toronto, 2005
- Non-Local Manifold Parzen Windows
[pdf]
[ps]
Yoshua Bengio and Hugo Larochelle,
Poster presented at the Learning@Snowbird Workshop,
Snowbird, USA, 2005
- Implantation et analyse d’un modèle graphique de
désambiguïsation
à entraînement supervisé, semi-supervisé
et non-supervisé
[pdf]
[ps]
[site]
Hugo Larochelle and Yoshua Bengio,
IFT3051 project, Département d'informatique et recherche opérationnelle,
Université de Montréal, 2004.
- Some Supervised Models in Disambiguation
[ppt]
Hugo Larochelle, Christian Jauvin and Yoshua Bengio,
Poster presented at MITACS Quebec Interchange,
Montréal, Canada, 2003.
- Étude de la pertinence de métriques statistiques
pour la détection de termes dans un document
[pdf]
[ps]
Hugo Larochelle and Philippe Langlais,
NSERC Internship report at RALI lab,
Département d'informatique et recherche opérationnelle,
Université de Montréal, été 2002.
|
