Ruslan Salakhutdinov, Assistant Professor

Department of Statistics, Department of Computer and Mathematical Sciences Department of Computer Science University of Toronto My Contact Info Quick link to my research papers and invited talks. My Google Scholar Profile.

I will give a tutorial on Deep Learning at the International Symposium on Biomedical Imaging.

Consider submitting a paper to our ICML 2013 workshop on Inferning: Interactions between Inference and Learning.
I have received Alfred P. Sloan Research Fellowship.
Check out how Toronto team won the Merck Molecular Activity Challenge.

I am teaching Multivariate Analysis course this Winter.
I am teaching Statistical Machine Learning course this Fall.

IPAM Graduate Summer School on Deep Learning and Feature Learning.
See our recent CVPR tutorial on Deep Learning Methods for Vision.

Recent Papers:

Learning with Hierarchical-Deep Models
Ruslan Salakhutdinov, Josh Tenenbaum, and Antonio Torralba
To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)


Modeling Documents with Deep Boltzmann Machines
Nitish Srivastava, Ruslan Salakhutdinov, Geoffrey Hinton
In Uncertainty in Artificial Intelligence (UAI), Seattle, USA, 2013, oral [pdf],

Tensor Analyzers
Yichuan Tang, Ruslan Salakhutdinov and Geoffrey Hinton
In 30th International Conference on Machine Learning (ICML), Atlanta, USA, 2013 [pdf], [ supp ], [ code].

Multimodal Learning with Deep Boltzmann Machines
Nitish Srivastava and Ruslan Salakhutdinov
In Neural Information Processing Systems (NIPS 26), oral. [ pdf], Supplementary material [ zip].
Code is available [ here].


Hamming Distance Metric Learning
Mohammad Norouzi, David Fleet, and Ruslan Salakhutdinov
In Neural Information Processing Systems (NIPS 26) [ pdf], Supplementary material [ pdf].


A Better Way to Pretrain Deep Boltzmann Machines
Ruslan Salakhutdinov and Geoffrey Hinton
In Neural Information Processing Systems (NIPS 26) [ pdf].


Matrix Reconstruction with the Local Max Norm.
Rina Foygel, Nathan Srebro, Ruslan Salakhutdinov
In Neural Information Processing Systems (NIPS 26) [ pdf], Supplementary material [ pdf].


Cardinality Restricted Boltzmann Machines
Kevin Swersky, Daniel Tarlow, Ilya Sutskever, Ruslan Salakhutdinov, Richard Zemel, and Ryan Adams.
In Neural Information Processing Systems (NIPS 26) [ pdf].


An Efficient Learning Procedure for Deep Boltzmann Machines
Ruslan Salakhutdinov and Geoffrey Hinton
Neural Computation, August 2012, Vol. 24, No. 8: 1967 -- 2006. [ pdf],


Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, Ruslan R. Salakhutdinov
arXiv [ pdf],


Exploiting Compositionality to Explore a Large Space of Model Structures
Roger Grosse, Ruslan Salakhutdinov, William Freeman, and Joshua Tenenbaum
To appear in UAI 2012 [ pdf].
Best student paper award (Congratulations Roger).


Deep Lambertian Networks
Yichuan Tang , Ruslan Salakhutdinov, and Geoffrey Hinton
29th International Conference on Machine Learning (ICML 2012) [ pdf],


Deep Mixtures of Factor Analysers
Yichuan Tang , Ruslan Salakhutdinov, and Geoffrey Hinton
29th International Conference on Machine Learning (ICML 2012) [ pdf],


Concept learning as motor program induction: A large-scale empirical study.
Brenden Lake , Ruslan Salakhutdinov, and Josh Tenenbaum.
Proceedings of the 34rd Annual Conference of the Cognitive Science Society, 2012 [ pdf], Supporting Info


Robust Boltzmann Machines for Recognition and Denoising
Yichuan Tang , Ruslan Salakhutdinov, and Geoffrey Hinton
IEEE Computer Vision and Pattern Recognition (CVPR) 2012. [ pdf]


One-Shot Learning with a Hierarchical Nonparametric Bayesian Model
Ruslan Salakhutdinov, Josh Tenenbaum, and Antonio Torralba
JMLR WC&P Unsupervised and Transfer Learning, 2012, [ pdf]


Domain Adaptation: A Small Sample Statistical Approach
Dean Foster, Sham Kakade, and Ruslan Salakhutdinov
JMLR W&CP 16 (AI & Statistics), 2012 [ pdf]


Resource Configurable Spoken Query Detection using Deep Boltzmann Machines
Yaodong Zhang, Ruslan Salakhutdinov, Hung-An Chang, and James Glass.
37th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2012 [ pdf]

Ruslan Salakhutdinov, Department of Statistics, University of Toronto, http://www.utstat.toronto.edu/~rsalakhu/