Curriculum Learning

by Yoshua Bengio , Jérôme Louradour , Ronan Collobert , Jason Weston
Citations:48 - 6 self

Active Bibliography

The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training – n.n.
6 Representation Learning: A Review and New Perspectives – Yoshua Bengio, Aaron Courville, Pascal Vincent - 2012
3 On the expressive power of deep architectures – Yoshua Bengio, Olivier Delalleau - 2011
6 Unsupervised Learning of Feature Hierarchies – Marc'Aurelio Ranzato - 2009
2 Shallow vs. Deep Sum-Product Networks – Olivier Delalleau, Université De Montréal, Yoshua Bengio, Université De Montréal
41 Exploring strategies for training deep neural networks – Hugo Larochelle, Yoshua Bengio, Jérôme Louradour, Pascal Lamblin, Léon Bottou
UNSUPERVISED FEATURE LEARNING VIA SPARSE HIERARCHICAL REPRESENTATIONS – Honglak Lee
Pierre-Antoine Manzagol, – Dumitru Erhan, Yoshua Bengio, Samy Bengio, Pascal Vincent
iv TABLE OF CONTENTS Signature Page.................................. Dedication..................................... Table of Contents................................. – Youngmin Cho - 2012
8 Unsupervised Learning of Hierarchical Representations with Convolutional Deep Belief Networks – Honglak Lee, Roger Grosse, Rajesh Ranganath, Andrew Y. Ng - 2011
Extraction hiérarchique de caractéristiques pour l’apprentissage à partir de données complexes en haute dimension – Olivier Delalleau - 2008
5 Two Distributed-State Models For Generating High-Dimensional Time Series – Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis - 2011
3 Slow, decorrelated features for pretraining complex cell-like networks – James Bergstra, Yoshua Bengio - 2010
3 1 Deep Belief Networks are compact universal approximators – Nicolas Le Roux, Yoshua Bengio
An Introduction to Deep Learning – Ludovic Arnold, Sébastien Rebecchi, Sylvain Chevallier, Hélène Paugam-moisy
77 Extracting and Composing Robust Features with Denoising Autoencoders – Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pierre-Antoine Manzagol - 2008
Visual Object Recognition Using Generative Models of Images – Vinod Nair - 2010
11 Learning Deep Generative Models – Ruslan Salakhutdinov - 2009
LEARNING DEEP REPRESENTATIONS, EMBEDDINGS AND CODES FROM THE PIXEL LEVEL OF NATURAL AND MEDICAL IMAGES – Ryan Kiros - 2013