Ruslan Salakhutdinov

University of Toronto, Toronto, ON, Canada 
computer vision
"Ruslan Salakhutdinov"
Mean distance: 15.09 (cluster 17)
BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Zhu Y, Kiros R, Zemel R, et al. (2016) Aligning books and movies: Towards story-like visual explanations by watching movies and reading books Proceedings of the Ieee International Conference On Computer Vision. 11: 19-27
Lake BM, Salakhutdinov R, Tenenbaum JB. (2015) Human-level concept learning through probabilistic program induction. Science (New York, N.Y.). 350: 1332-8
Salakhutdinov R. (2015) Learning Deep Generative Models Annual Review of Statistics and Its Application. 2: 361-385
Burda Y, Grosse RB, Salakhutdinov R. (2015) Accurate and conservative estimates of MRF log-likelihood using reverse annealing Journal of Machine Learning Research. 38: 102-110
Hjelm RD, Calhoun VD, Salakhutdinov R, et al. (2014) Restricted Boltzmann machines for neuroimaging: an application in identifying intrinsic networks. Neuroimage. 96: 245-60
Srivastava N, Salakhutdinov R. (2014) Multimodal learning with Deep Boltzmann Machines Journal of Machine Learning Research. 15: 2949-2980
Kiros R, Zemel RS, Salakhutdinov R. (2014) A multiplicative model for learning distributed text-based attribute representations Advances in Neural Information Processing Systems. 3: 2348-2356
Kiros R, Salakhutdinov R, Zemel R. (2014) Multimodal neural language models 31st International Conference On Machine Learning, Icml 2014. 3: 2012-2025
Tang Y, Srivastava N, Salakhutdinov R. (2014) Learning generative models with visual attention Advances in Neural Information Processing Systems. 2: 1808-1816
Srivastava N, Hinton G, Krizhevsky A, et al. (2014) Dropout: A simple way to prevent neural networks from overfitting Journal of Machine Learning Research. 15: 1929-1958
See more...