| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Hugo Larochelle, Michael I. Mandel, Razvan Pascanu, Yoshua Bengio |
Learning Algorithms for the Classification Restricted Boltzmann Machine.  |
Journal of Machine Learning Research  |
2012 |
DBLP BibTeX RDF |
|
| 1 | James Bergstra, Yoshua Bengio |
Random Search for Hyper-Parameter Optimization. |
Journal of Machine Learning Research |
2012 |
DBLP BibTeX RDF |
|
| 1 | Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio |
Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing. |
Journal of Machine Learning Research - Proceedings Track |
2012 |
DBLP BibTeX RDF |
|
| 1 | Ian J. Goodfellow, Aaron C. Courville, Yoshua Bengio |
Spike-and-Slab Sparse Coding for Unsupervised Feature Discovery |
CoRR |
2012 |
DBLP BibTeX RDF |
|
| 1 | Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio |
On Training Deep Boltzmann Machines |
CoRR |
2012 |
DBLP BibTeX RDF |
|
| 1 | Yoshua Bengio |
Evolving Culture vs Local Minima |
CoRR |
2012 |
DBLP BibTeX RDF |
|
| 1 | Michael I. Mandel, Razvan Pascanu, Douglas Eck, Yoshua Bengio, Luca Maria Aiello, Rossano Schifanella, Filippo Menczer |
Contextual tag inference. |
TOMCCAP |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Xavier Glorot, Antoine Bordes, Yoshua Bengio |
Deep Sparse Rectifier Neural Networks. |
Journal of Machine Learning Research - Proceedings Track |
2011 |
DBLP BibTeX RDF |
|
| 1 | Aaron C. Courville, James Bergstra, Yoshua Bengio |
A Spike and Slab Restricted Boltzmann Machine. |
Journal of Machine Learning Research - Proceedings Track |
2011 |
DBLP BibTeX RDF |
|
| 1 | Yoshua Bengio |
Discussion of "The Neural Autoregressive Distribution Estimator". |
Journal of Machine Learning Research - Proceedings Track |
2011 |
DBLP BibTeX RDF |
|
| 1 | Yoshua Bengio, Frédéric Bastien, Arnaud Bergeron, Nicolas Boulanger-Lewandowski, Thomas M. Breuel, Youssouf Chherawala, Moustapha Cisse, Myriam Côté, Dumitru Erhan, Jeremy Eustache, Xavier Glorot, Xavier Muller, Sylvain Pannetier Lebeuf, Razvan Pascanu, Salah Rifai, François Savard, Guillaume Sicard |
Deep Learners Benefit More from Out-of-Distribution Examples. |
Journal of Machine Learning Research - Proceedings Track |
2011 |
DBLP BibTeX RDF |
|
| 1 | James Bergstra, Aaron C. Courville, Yoshua Bengio |
The Statistical Inefficiency of Sparse Coding for Images (or, One Gabor to Rule them All) |
CoRR |
2011 |
DBLP BibTeX RDF |
|
| 1 | Salah Rifai, Xavier Glorot, Yoshua Bengio, Pascal Vincent |
Adding noise to the input of a model trained with a regularized objective |
CoRR |
2011 |
DBLP BibTeX RDF |
|
| 1 | Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio |
Towards Open-Text Semantic Parsing via Multi-Task Learning of Structured Embeddings |
CoRR |
2011 |
DBLP BibTeX RDF |
|
| 1 | Salah Rifai, Xavier Muller, Xavier Glorot, Grégoire Mesnil, Yoshua Bengio, Pascal Vincent |
Learning invariant features through local space contraction |
CoRR |
2011 |
DBLP BibTeX RDF |
|
| 1 | Michael I. Mandel, Razvan Pascanu, Hugo Larochelle, Yoshua Bengio |
Autotagging music with conditional restricted Boltzmann machines |
CoRR |
2011 |
DBLP BibTeX RDF |
|
| 1 | Olivier Breuleux, Yoshua Bengio, Pascal Vincent |
Quickly Generating Representative Samples from an RBM-Derived Process. |
Neural Computation |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | James Bergstra, Yoshua Bengio, Jérôme Louradour |
Suitability of V1 Energy Models for Object Classification. |
Neural Computation |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Salah Rifai, Grégoire Mesnil, Pascal Vincent, Xavier Muller, Yoshua Bengio, Yann Dauphin, Xavier Glorot |
Higher Order Contractive Auto-Encoder. |
ECML/PKDD |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Philippe Hamel, Simon Lemieux, Yoshua Bengio, Douglas Eck |
Temporal Pooling and Multiscale Learning for Automatic Annotation and Ranking of Music Audio. |
ISMIR |
2011 |
DBLP BibTeX RDF |
|
| 1 | Xavier Glorot, Antoine Bordes, Yoshua Bengio |
Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach. |
ICML |
2011 |
DBLP BibTeX RDF |
|
| 1 | Aaron C. Courville, James Bergstra, Yoshua Bengio |
Unsupervised Models of Images by Spikeand-Slab RBMs. |
ICML |
2011 |
DBLP BibTeX RDF |
|
| 1 | Salah Rifai, Pascal Vincent, Xavier Muller, Xavier Glorot, Yoshua Bengio |
Contractive Auto-Encoders: Explicit Invariance During Feature Extraction. |
ICML |
2011 |
DBLP BibTeX RDF |
|
| 1 | Yann Dauphin, Xavier Glorot, Yoshua Bengio |
Large-Scale Learning of Embeddings with Reconstruction Sampling. |
ICML |
2011 |
DBLP BibTeX RDF |
|
| 1 | Yoshua Bengio, Olivier Delalleau |
On the Expressive Power of Deep Architectures. |
ALT |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio |
Learning Structured Embeddings of Knowledge Bases. |
AAAI |
2011 |
DBLP BibTeX RDF |
|
| 1 | Yoshua Bengio, Olivier Delalleau |
On the Expressive Power of Deep Architectures. |
Discovery Science |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Salah Rifai, Yann Dauphin, Pascal Vincent, Yoshua Bengio, Xavier Muller |
The Manifold Tangent Classifier. |
NIPS |
2011 |
DBLP BibTeX RDF |
|
| 1 | Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio |
On Tracking The Partition Function. |
NIPS |
2011 |
DBLP BibTeX RDF |
|
| 1 | James Bergstra, Rémi Bardenet, Yoshua Bengio, Balázs Kégl |
Algorithms for Hyper-Parameter Optimization. |
NIPS |
2011 |
DBLP BibTeX RDF |
|
| 1 | Olivier Delalleau, Yoshua Bengio |
Shallow vs. Deep Sum-Product Networks. |
NIPS |
2011 |
DBLP BibTeX RDF |
|
| 1 | François Rivest, John Kalaska, Yoshua Bengio |
Alternative time representation in dopamine models. |
Journal of Computational Neuroscience |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, Pierre-Antoine Manzagol, Pascal Vincent, Samy Bengio |
Why Does Unsupervised Pre-training Help Deep Learning? |
Journal of Machine Learning Research |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio, Pascal Vincent, Olivier Delalleau |
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines. |
Journal of Machine Learning Research - Proceedings Track |
2010 |
DBLP BibTeX RDF |
|
| 1 | Xavier Glorot, Yoshua Bengio |
Understanding the difficulty of training deep feedforward neural networks. |
Journal of Machine Learning Research - Proceedings Track |
2010 |
DBLP BibTeX RDF |
|
| 1 | Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio, Pierre-Antoine Manzagol |
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion. |
Journal of Machine Learning Research |
2010 |
DBLP BibTeX RDF |
|
| 1 | Dumitru Erhan, Aaron C. Courville, Yoshua Bengio, Pascal Vincent |
Why Does Unsupervised Pre-training Help Deep Learning? |
Journal of Machine Learning Research - Proceedings Track |
2010 |
DBLP BibTeX RDF |
|
| 1 | Guillaume Desjardins, Aaron C. Courville, Yoshua Bengio |
Adaptive Parallel Tempering for Stochastic Maximum Likelihood Learning of RBMs |
CoRR |
2010 |
DBLP BibTeX RDF |
|
| 1 | Frédéric Bastien, Yoshua Bengio, Arnaud Bergeron, Nicolas Boulanger-Lewandowski, Thomas M. Breuel, Youssouf Chherawala, Moustapha Cisse, Myriam Côté, Dumitru Erhan, Jeremy Eustache, Xavier Glorot, Xavier Muller, Sylvain Pannetier Lebeuf, Razvan Pascanu, Salah Rifai, François Savard, Guillaume Sicard |
Deep Self-Taught Learning for Handwritten Character Recognition |
CoRR |
2010 |
DBLP BibTeX RDF |
|
| 1 | Hugo Larochelle, Yoshua Bengio, Joseph P. Turian |
Tractable Multivariate Binary Density Estimation and the Restricted Boltzmann Forest. |
Neural Computation |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Nicolas Le Roux, Yoshua Bengio |
Deep Belief Networks Are Compact Universal Approximators. |
Neural Computation |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Yoshua Bengio, Olivier Delalleau, Clarence Simard |
Decision trees do not generalize to new variations. |
Computational Intelligence |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Michael I. Mandel, Douglas Eck, Yoshua Bengio |
Learning Tags that Vary Within a Song. |
ISMIR |
2010 |
DBLP BibTeX RDF |
|
| 1 | Joseph P. Turian, Lev-Arie Ratinov, Yoshua Bengio |
Word Representations: A Simple and General Method for Semi-Supervised Learning. |
ACL |
2010 |
DBLP BibTeX RDF |
|
| 1 | Julie Carreau, Yoshua Bengio |
A Hybrid Pareto Mixture for Conditional Asymmetric Fat-Tailed Distributions. |
IEEE Transactions on Neural Networks |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Hugo Larochelle, Yoshua Bengio, Jérôme Louradour, Pascal Lamblin |
Exploring Strategies for Training Deep Neural Networks. |
Journal of Machine Learning Research |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Charles Dugas, Yoshua Bengio, François Bélisle, Claude Nadeau, René Garcia |
Incorporating Functional Knowledge in Neural Networks. |
Journal of Machine Learning Research |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Dumitru Erhan, Pierre-Antoine Manzagol, Yoshua Bengio, Samy Bengio, Pascal Vincent |
The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training. |
Journal of Machine Learning Research - Proceedings Track |
2009 |
DBLP BibTeX RDF |
|
| 1 | Yoshua Bengio |
Learning Deep Architectures for AI. |
Foundations and Trends in Machine Learning |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Yoshua Bengio, Olivier Delalleau |
Justifying and Generalizing Contrastive Divergence. |
Neural Computation |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Joseph P. Turian, James Bergstra, Yoshua Bengio |
Quadratic Features and Deep Architectures for Chunking. |
HLT-NAACL (Short Papers) |
2009 |
DBLP BibTeX RDF |
|
| 1 | Yoshua Bengio, Jérôme Louradour, Ronan Collobert, Jason Weston |
Curriculum learning. |
ICML |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Kay Yu, Ruslan Salakhutdinov, Yann LeCun, Geoffrey E. Hinton, Yoshua Bengio |
Workshop summary: Workshop on learning feature hierarchies. |
ICML |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | James Bergstra, Yoshua Bengio |
Slow, Decorrelated Features for Pretraining Complex Cell-like Networks. |
NIPS |
2009 |
DBLP BibTeX RDF |
|
| 1 | Yoshua Bengio, Dale Schuurmans, John D. Lafferty, Christopher K. I. Williams, Aron Culotta (eds.) |
Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada. |
NIPS |
2009 |
DBLP BibTeX RDF |
|
| 1 | Daphne Koller, Dale Schuurmans, Yoshua Bengio, Léon Bottou (eds.) |
Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008 |
NIPS |
2009 |
DBLP BibTeX RDF |
|
| 1 | Aaron C. Courville, Douglas Eck, Yoshua Bengio |
An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism. |
NIPS |
2009 |
DBLP BibTeX RDF |
|
| 1 | Yoshua Bengio, Jean-Sébastien Senecal |
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model. |
IEEE Transactions on Neural Networks |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Nicolas Le Roux, Yoshua Bengio |
Representational Power of Restricted Boltzmann Machines and Deep Belief Networks. |
Neural Computation |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Yoshua Bengio |
Neural net language models. |
Scholarpedia |
2008 |
DBLP BibTeX RDF |
|
| 1 | Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pierre-Antoine Manzagol |
Extracting and composing robust features with denoising autoencoders. |
ICML |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Hugo Larochelle, Yoshua Bengio |
Classification using discriminative restricted Boltzmann machines. |
ICML |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Hugo Larochelle, Dumitru Erhan, Yoshua Bengio |
Zero-data Learning of New Tasks. |
AAAI |
2008 |
DBLP BibTeX RDF |
|
| 1 | Nicolas Le Roux, Yoshua Bengio |
Continuous Neural Networks. |
Journal of Machine Learning Research - Proceedings Track |
2007 |
DBLP BibTeX RDF |
|
| 1 | Julie Carreau, Yoshua Bengio |
A Hybrid Pareto Model for Conditional Density Estimation of Asymmetric Fat-Tail Data. |
Journal of Machine Learning Research - Proceedings Track |
2007 |
DBLP BibTeX RDF |
|
| 1 | Nicolas Chapados, Yoshua Bengio |
Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization. |
JCP |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Hugo Larochelle, Dumitru Erhan, Aaron C. Courville, James Bergstra, Yoshua Bengio |
An empirical evaluation of deep architectures on problems with many factors of variation. |
ICML |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Nicolas Le Roux, Yoshua Bengio, Pascal Lamblin, Marc Joliveau, Balázs Kégl |
Learning the 2-D Topology of Images. |
NIPS |
2007 |
DBLP BibTeX RDF |
|
| 1 | Nicolas Le Roux, Pierre-Antoine Manzagol, Yoshua Bengio |
Topmoumoute Online Natural Gradient Algorithm. |
NIPS |
2007 |
DBLP BibTeX RDF |
|
| 1 | Nicolas Chapados, Yoshua Bengio |
Augmented Functional Time Series Representation and Forecasting with Gaussian Processes. |
NIPS |
2007 |
DBLP BibTeX RDF |
|
| 1 | Yoshua Bengio, Martin Monperrus, Hugo Larochelle |
Nonlocal Estimation of Manifold Structure. |
Neural Computation |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Dumitru Erhan, Pierre-Jean L'Heureux, Shi Yi Yue, Yoshua Bengio |
Collaborative Filtering on a Family of Biological Targets. |
Journal of Chemical Information and Modeling |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Nicolas Chapados, Yoshua Bengio |
The K Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio Optimization. |
Canadian Conference on AI |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle |
Greedy Layer-Wise Training of Deep Networks. |
NIPS |
2006 |
DBLP BibTeX RDF |
|
| 1 | Yves Grandvalet, Yoshua Bengio |
Semi-supervised Learning by Entropy Minimization. |
CAP |
2005 |
DBLP BibTeX RDF |
|
| 1 | Yoshua Bengio, Hugo Larochelle, Pascal Vincent |
Non-Local Manifold Parzen Windows. |
NIPS |
2005 |
DBLP BibTeX RDF |
|
| 1 | Yoshua Bengio, Nicolas Le Roux, Pascal Vincent, Olivier Delalleau, Patrice Marcotte |
Convex Neural Networks. |
NIPS |
2005 |
DBLP BibTeX RDF |
|
| 1 | Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux |
The Curse of Highly Variable Functions for Local Kernel Machines. |
NIPS |
2005 |
DBLP BibTeX RDF |
|
| 1 | Yoshua Bengio, Yves Grandvalet |
No Unbiased Estimator of the Variance of K-Fold Cross-Validation. |
Journal of Machine Learning Research |
2004 |
DBLP BibTeX RDF |
|
| 1 | Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux, Jean-François Paiement, Pascal Vincent, Marie Ouimet |
Learning Eigenfunctions Links Spectral Embedding and Kernel PCA. |
Neural Computation |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Indrajit Bhattacharya, Lise Getoor, Yoshua Bengio |
Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models. |
ACL |
2004 |
DBLP BibTeX RDF |
|
| 1 | François Rivest, Yoshua Bengio, John Kalaska |
Brain Inspired Reinforcement Learning. |
NIPS |
2004 |
DBLP BibTeX RDF |
|
| 1 | Yves Grandvalet, Yoshua Bengio |
Semi-supervised Learning by Entropy Minimization. |
NIPS |
2004 |
DBLP BibTeX RDF |
|
| 1 | Yoshua Bengio, Martin Monperrus |
Non-Local Manifold Tangent Learning. |
NIPS |
2004 |
DBLP BibTeX RDF |
|
| 1 | Joumana Ghosn, Yoshua Bengio |
Bias learning, knowledge sharing. |
IEEE Transactions on Neural Networks |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Yoshua Bengio, Nicolas Chapados |
Extensions to Metric-Based Model Selection. |
Journal of Machine Learning Research |
2003 |
DBLP BibTeX RDF |
|
| 1 | Yoshua Bengio, Réjean Ducharme, Pascal Vincent, Christian Janvin |
A Neural Probabilistic Language Model. |
Journal of Machine Learning Research |
2003 |
DBLP BibTeX RDF |
|
| 1 | Claude Nadeau, Yoshua Bengio |
Inference for the Generalization Error. |
Machine Learning |
2003 |
DBLP DOI BibTeX RDF |
power, hypothesis tests, cross-validation, size, generalization error, variance estimation |
| 1 | Ronan Collobert, Yoshua Bengio, Samy Bengio |
Scaling Large Learning Problems with Hard Parallel Mixtures. |
IJPRAI |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Yoshua Bengio, Yves Grandvalet |
No Unbiased Estimator of the Variance of K-Fold Cross-Validation. |
NIPS |
2003 |
DBLP BibTeX RDF |
|
| 1 | Yoshua Bengio, Jean-François Paiement, Pascal Vincent, Olivier Delalleau, Nicolas Le Roux, Marie Ouimet |
Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering. |
NIPS |
2003 |
DBLP BibTeX RDF |
|
| 1 | Pascal Vincent, Yoshua Bengio |
Kernel Matching Pursuit. |
Machine Learning |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio |
Model Selection for Small Sample Regression. |
Machine Learning |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Yoshua Bengio, Dale Schuurmans |
Guest Introduction: Special Issue on New Methods for Model Selection and Model Combination. |
Machine Learning |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Ronan Collobert, Samy Bengio, Yoshua Bengio |
A Parallel Mixture of SVMs for Very Large Scale Problems. |
Neural Computation |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Ichiro Takeuchi, Yoshua Bengio, Takafumi Kanamori |
Robust Regression with Asymmetric Heavy-Tail Noise Distributions. |
Neural Computation |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Ronan Collobert, Yoshua Bengio, Samy Bengio |
Scaling Large Learning Problems with Hard Parallel Mixtures. |
SVM |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Pascal Vincent, Yoshua Bengio |
Manifold Parzen Windows. |
NIPS |
2002 |
DBLP BibTeX RDF |
|
| 1 | Nicolas Chapados, Yoshua Bengio |
Cost functions and model combination for VaR-based asset allocation using neural networks. |
IEEE Transactions on Neural Networks |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Yoshua Bengio, Vincent-Philippe Lauzon, Réjean Ducharme |
Experiments on the application of IOHMMs to model financial returns series. |
IEEE Transactions on Neural Networks |
2001 |
DBLP DOI BibTeX RDF |
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