Deep learning papers at AISTATS 2010

Full proceedings

Learning the Structure of Deep Sparse Graphical Models
Ryan Adams, Hanna Wallach, Zoubin Ghahramani

Why Does Unsupervised Pre-training Help Deep Learning?
Dumitru Erhan, Aaron Courville, Yoshua Bengio, Pascal Vincent

Efficient Learning of Deep Boltzmann Machines
Ruslan Salakhutdinov, Hugo Larochelle

Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot, Yoshua Bengio

Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images
Marc’Aurelio Ranzato, Alex Krizhevsky, Geoffrey Hinton

Inductive Principles for Restricted Boltzmann Machine Learning.
Benjamin Marlin, Kevin Swersky, Bo Chen and Nando de Freitas.

1 comment to Deep learning papers at AISTATS 2010

  • The following relevant paper will also appear at aistats 2010:

    Benjamin Marlin, Kevin Swersky, Bo Chen and Nando de Freitas. Inductive Principles for Restricted Boltzmann Machine Learning.