Greedy layer-wise training of deep networks (2007)

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by Yoshua Bengio , Pascal Lamblin , Dan Popovici , Hugo Larochelle , Université De Montréal , Montréal Québec
Venue:In NIPS
Citations:105 - 18 self

Active Bibliography

1 Representational Power of Restricted Boltzmann Machines and Deep Belief Networks – Nicolas Le Roux, Yoshua Bengio
14 Representational power of restricted boltzmann machines and deep belief networks – Nicolas Le Roux, Yoshua Bengio - 2007
1 Shallow vs. Deep Sum-Product Networks – Olivier Delalleau, Université De Montréal, Yoshua Bengio, Université De Montréal
9 Context-Dependent Pre-trained Deep Neural Networks for Large Vocabulary Speech Recognition – George E. Dahl, Student Member, Dong Yu, Senior Member, Li Deng, Alex Acero - 2012
Visual Object Recognition Using Generative Models of Images Vinod Nair – unknown authors - 2010
An Introduction to Deep Learning – Ludovic Arnold, Sébastien Rebecchi, Sylvain Chevallier, Hélène Paugam-moisy
1 Large margin classification in infinite neural networks – Youngmin Cho, Lawrence K. Saul
11 Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning – Mohammad Norouzi, Mani Ranjbar, Greg Mori
Learning Long-Range Vision for an Offroad Robot – Raia Thaïs Hadsell - 2008
NOTE Communicated by Yoshua Bengio Deep, Narrow Sigmoid Belief Networks Are Universal – Ilya Sutskever, Geoffrey E. Hinton
45 An empirical evaluation of deep architectures on problems with many factors of variation – Hugo Larochelle, Dumitru Erhan, Aaron Courville, James Bergstra, Yoshua Bengio - 2007
23 3-d object recognition with deep belief nets – Vinod Nair, Geoffrey E. Hinton - 2009
2 An Efficient Learning Procedure for Deep Boltzmann Machines – Ruslan Salakhutdinov, Geoffrey Hinton - 2010
ARTICLE Communicated by Yoshua Bengio An Efficient Learning Procedure for Deep Boltzmann Machines – Ruslan Salakhutdinov, Geoffrey Hinton
4 Deep Narrow Sigmoid Belief Networks are Universal – Copyright C Ilya Sutskever, Geoffrey E. Hinton, Ilya Sutskever, Geoffrey E. Hinton, Ilya Sutskever, Geoffrey E. Hinton - 2007
18 Rectified Linear Units Improve Restricted Boltzmann Machines Vinod Nair – Geoffrey E. Hinton
4 Unsupervised Learning of Feature Hierarchies – Marc'Aurelio Ranzato - 2009
1 Learning Deep Architectures for AI – Yoshua Bengio
27 Classification using discriminative restricted boltzmann machines – Hugo Larochelle, Yoshua Bengio - 2008