Geoffrey E. Hinton

Department of Computer Science		email: hinton [at] cs [dot] toronto [dot] edu
University of Toronto		voice: 416-978-7564
6 King's College Rd.		fax: 416-978-1455
Toronto, Ontario		office: Pratt 290G
M5S 3G4, CANADA		Directions for Visitors

Check out the new web page for Machine Learning at Toronto
Information for prospective students (compiled by Sam Roweis)

Selected Recent Papers

Hinton, G. E. and Salakhutdinov, R. R. (2006)
Reducing the dimensionality of data with neural networks.
Science, Vol. 313. no. 5786, pp. 504 - 507, 28 July 2006.
[ full paper ] [ supporting online material (pdf) ] [ Matlab code ]

Hinton, G. E., Osindero, S. and Teh, Y. (2006)
A fast learning algorithm for deep belief nets.
Neural Computation, 18, pp 1527-1554. [pdf]
Movies of the neural network generating and recognizing digits

Hinton, G. E.
To recognize shapes, first learn to generate images (2007)
In P. Cisek, T. Drew and J. Kalaska (Eds.)
Computational Neuroscience: Theoretical Insights into Brain Function. Elsevier. [pdf of final draft]

New Papers

Osindero, S. and Hinton, G. E.
Modeling image patches with a directed hierarchy of Markov random fields.
Advances in Neural Information Processing Systems 20 [pdf]

Salakhutdinov, R. R. and Hinton, G. E.
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes.
Advances in Neural Information Processing Systems 20 [pdf]

Hinton, G.~E. (2007)
Boltzmann machine. Scholarpedia, 2(5):1668

Hinton, G. E.
Learning Multiple Layers of Representation.
Trends in Cognitive Sciences, Vol. 11, pp 428-434. [pdf]

Salakhutdinov R. R. and Hinton, G. E.
Semantic Hashing.
Proceedings of the SIGIR Workshop on Information Retrieval and Applications of Graphical Models, Amsterdam. [ pdf ]

Salakhutdinov, R. R., Mnih, A. and Hinton, G. E.
Restricted Boltzmann Machines for Collaborative Filtering.
ICML 2007 [ pdf ] (applied to Netflix)

Salakhutdinov, R. R. and Hinton, G. E.
Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structure
AI and Statistics, 2007, Puerto Rico. [ pdf ]

Sutskever, I. and Hinton, G. E.
Learning multilevel distributed representations for high-dimensional sequences.
AI and Statistics, 2007, Puerto Rico. [ pdf ]

Memisevic, R. F. and Hinton, G. E.
Unsupervised Learning of Image Transformations.
CVPR-07 [pdf] Technical Report UTML TR 2006-005. [pdf]

A really cool illusion

Filling the tank of an SUV with ethanol requires enough corn to feed a person for a year.