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Ruslan Salakhutdinov

Affiliations: 
University of Toronto, Toronto, ON, Canada 
Area:
computer vision
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"Ruslan Salakhutdinov"
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Parents

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Geoffrey E. Hinton grad student University of Toronto

Children

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Shrimai Prabhumoye grad student Carnegie Mellon (LinguisTree)

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Publications

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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
Plis SM, Hjelm DR, Salakhutdinov R, et al. (2014) Deep learning for neuroimaging: a validation study. Frontiers in Neuroscience. 8: 229
Hjelm RD, Calhoun VD, Salakhutdinov R, et al. (2014) Restricted Boltzmann machines for neuroimaging: an application in identifying intrinsic networks. Neuroimage. 96: 245-60
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
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
Bengio S, Deng L, Larochelle H, et al. (2013) Guest editors' introduction: special section on learning deep architectures. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 1795-7
Salakhutdinov R, Tenenbaum JB, Torralba A. (2013) Learning with hierarchical-deep models. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 1958-71
Srivastava N, Salakhutdinov R, Hinton G. (2013) Modeling documents with a Deep Boltzmann Machine Uncertainty in Artificial Intelligence - Proceedings of the 29th Conference, Uai 2013. 616-624
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