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Ruslan Salakhutdinov

Showing results (1-10 of 10) with videos related to

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Topics in Cognitive Science|August 29, 2014
Discovering binary codes for documents by learning deep generative modelsGeoffrey Hinton, Ruslan Salakhutdinov
Neural Computation|April 19, 2012
An efficient learning procedure for deep Boltzmann machinesRuslan Salakhutdinov, Geoffrey Hinton
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 22, 2013
Learning with hierarchical-deep modelsRuslan Salakhutdinov, Joshua B Tenenbaum, Antonio Torralba
Science (New York, N.Y.)|December 15, 2015
Human-level concept learning through probabilistic program inductionBrenden M Lake, Ruslan Salakhutdinov, Joshua B Tenenbaum
Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing|May 10, 2021
Multimodal Routing: Improving Local and Global Interpretability of Multimodal Language AnalysisYao-Hung Hubert Tsai, Martin Q Ma, Muqiao Yang, et al.
Scientific Data|May 6, 2025
Ground-truthed and high-resolution drone images of the leafy spurge weed plant (Euphorbia esula)Kyle Doherty, Max Gurinas, Erik Samsoe, et al.
Neuroimage|April 1, 2014
Restricted Boltzmann machines for neuroimaging: an application in identifying intrinsic networksR Devon Hjelm, Vince D Calhoun, Ruslan Salakhutdinov, et al.
Proceedings of the Conference. Association for Computational Linguistics. Meeting|May 5, 2020
Multimodal Transformer for Unaligned Multimodal Language SequencesYao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, et al.
Advances in Neural Information Processing Systems|May 22, 2024
MultiBench: Multiscale Benchmarks for Multimodal Representation LearningPaul Pu Liang, Yiwei Lyu, Xiang Fan, et al.
Frontiers in Neuroscience|September 6, 2014
Deep learning for neuroimaging: a validation studySergey M Plis, Devon R Hjelm, Ruslan Salakhutdinov, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Topics in Cognitive Science|August 29, 2014
Discovering binary codes for documents by learning deep generative modelsGeoffrey Hinton, Ruslan Salakhutdinov
Neural Computation|April 19, 2012
An efficient learning procedure for deep Boltzmann machinesRuslan Salakhutdinov, Geoffrey Hinton
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 22, 2013
Learning with hierarchical-deep modelsRuslan Salakhutdinov, Joshua B Tenenbaum, Antonio Torralba
Science (New York, N.Y.)|December 15, 2015
Human-level concept learning through probabilistic program inductionBrenden M Lake, Ruslan Salakhutdinov, Joshua B Tenenbaum
Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing|May 10, 2021
Multimodal Routing: Improving Local and Global Interpretability of Multimodal Language AnalysisYao-Hung Hubert Tsai, Martin Q Ma, Muqiao Yang, et al.
Scientific Data|May 6, 2025
Ground-truthed and high-resolution drone images of the leafy spurge weed plant (Euphorbia esula)Kyle Doherty, Max Gurinas, Erik Samsoe, et al.
Neuroimage|April 1, 2014
Restricted Boltzmann machines for neuroimaging: an application in identifying intrinsic networksR Devon Hjelm, Vince D Calhoun, Ruslan Salakhutdinov, et al.
Proceedings of the Conference. Association for Computational Linguistics. Meeting|May 5, 2020
Multimodal Transformer for Unaligned Multimodal Language SequencesYao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, et al.
Advances in Neural Information Processing Systems|May 22, 2024
MultiBench: Multiscale Benchmarks for Multimodal Representation LearningPaul Pu Liang, Yiwei Lyu, Xiang Fan, et al.
Frontiers in Neuroscience|September 6, 2014
Deep learning for neuroimaging: a validation studySergey M Plis, Devon R Hjelm, Ruslan Salakhutdinov, et al.
Pageof 1