Search Machine Learning Repository:
All publications by Marc'aurelio Ranzato
authors venues years



DeViSE: A Deep Visual-Semantic Embedding Model
Andrea Frome, Greg S. Corrado, Jon Shlens, Samy Bengio, Jeff Dean, Marc'aurelio Ranzato and Tomas Mikolov
Advances in Neural Information Processing Systems 26, 2013


Predicting Parameters in Deep Learning
Misha Denil, Babak Shakibi, Laurent Dinh, Marc'aurelio Ranzato and Nando D. Freitas
Advances in Neural Information Processing Systems 26, 2013


Large Scale Distributed Deep Networks
Jeffrey Dean, Greg Corrado, Rajat Monga, Kai Chen, Matthieu Devin, Mark Mao, Marc'aurelio Ranzato, Andrew Senior, Paul Tucker, Ke Yang, Quoc V. Le and Andrew Y. Ng
Advances in Neural Information Processing Systems 25, 2012


Building high-level features using large scale unsupervised learning
Marc'aurelio Ranzato, Rajat Monga, Matthieu Devin, Kai Chen, Greg Corrado, Jeff Dean, Quoc V. Le and Andrew Y. Ng
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


On Autoencoders and Score Matching for Energy Based Models
Kevin Swersky, Marc'aurelio Ranzato, David Buchman, Nando D. Freitas and Benjamin M. Marlin
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Generating more realistic images using gated MRF's
Marc'aurelio Ranzato, Volodymyr Mnih and Geoffrey E. Hinton
Advances in Neural Information Processing Systems 23, 2010


Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine
George Dahl, Marc'aurelio Ranzato, Abdel-rahman Mohamed and Geoffrey E. Hinton
Advances in Neural Information Processing Systems 23, 2010


Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images
Marc'aurelio Ranzato, Alex Krizhevsky and Geoffrey E. Hinton
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Semi-supervised learning of compact document representations with deep networks
Marc'aurelio Ranzato and Martin Szummer
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Sparse Feature Learning for Deep Belief Networks
Marc'aurelio Ranzato, Y-lan Boureau and Yann L. Cun
Advances in Neural Information Processing Systems 20, 2007


A Unified Energy-Based Framework for Unsupervised Learning
Marc'aurelio Ranzato, Y-lan Boureau, Sumit Chopra and Yann Lecun
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Efficient Learning of Sparse Representations with an Energy-Based Model
Marc'aurelio Ranzato, Christopher Poultney, Sumit Chopra and Yann L. Cun
Advances in Neural Information Processing Systems 19, 2006