Articoli con mandati relativi all'accesso pubblico - Ruslan SalakhutdinovUlteriori informazioni
Non disponibile pubblicamente: 1
Generating video descriptions with latent topic guidance
S Chen, Q Jin, J Chen, AG Hauptmann
IEEE Transactions on Multimedia 21 (9), 2407-2418, 2019
Mandati: National Natural Science Foundation of China
Disponibili pubblicamente: 70
Reducing the dimensionality of data with neural networks
GE Hinton, RR Salakhutdinov
science 313 (5786), 504-507, 2006
Mandati: German Research Foundation
Human-level concept learning through probabilistic program induction
BM Lake, R Salakhutdinov, JB Tenenbaum
Science 350 (6266), 1332-1338, 2015
Mandati: Natural Sciences and Engineering Research Council of Canada
Skip-thought vectors
R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ...
Advances in neural information processing systems 28, 2015
Mandati: Natural Sciences and Engineering Research Council of Canada
Revisiting Semi-Supervised Learning with Graph Embeddings
Z Yang, W Cohen, R Salakhutdinov
International Conference on Machine Learning (ICML), 2016
Mandati: US National Science Foundation
Multimodal transformer for unaligned multimodal language sequences
YHH Tsai, S Bai, PP Liang, JZ Kolter, LP Morency, R Salakhutdinov
Proceedings of the conference. Association for computational linguistics …, 2019
Mandati: US National Science Foundation, US Department of Defense, US National …
Toward controlled generation of text
Z Hu, Z Yang, X Liang, R Salakhutdinov, EP Xing
International conference on machine learning, 1587-1596, 2017
Mandati: US National Science Foundation, US Department of Defense
Deep kernel learning
AG Wilson, Z Hu, R Salakhutdinov, EP Xing
International Conference on Artificial Intelligence and Statistics (AISTATS), 2015
Mandati: US National Institutes of Health
On exact computation with an infinitely wide neural net
S Arora, SS Du, W Hu, Z Li, RR Salakhutdinov, R Wang
Advances in neural information processing systems 32, 2019
Mandati: US National Science Foundation, US Department of Defense
Deep learning for neuroimaging: a validation study
SM Plis, DR Hjelm, R Salakhutdinov, EA Allen, HJ Bockholt, JD Long, ...
Frontiers in neuroscience 8, 229, 2014
Mandati: US National Institutes of Health
Good semi-supervised learning that requires a bad gan
Z Dai, Z Yang, F Yang, WW Cohen, RR Salakhutdinov
Advances in neural information processing systems 30, 2017
Mandati: US Department of Defense
Predicting deep zero-shot convolutional neural networks using textual descriptions
J Lei Ba, K Swersky, S Fidler
Proceedings of the IEEE international conference on computer vision, 4247-4255, 2015
Mandati: Natural Sciences and Engineering Research Council of Canada
Object goal navigation using goal-oriented semantic exploration
DS Chaplot, DP Gandhi, A Gupta, RR Salakhutdinov
Advances in Neural Information Processing Systems 33, 4247-4258, 2020
Mandati: US Department of Defense, US Office of the Director of National Intelligence
Spatially adaptive computation time for residual networks
M Figurnov, MD Collins, Y Zhu, L Zhang, J Huang, D Vetrov, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Mandati: US Department of Defense
Towards understanding and mitigating social biases in language models
PP Liang, C Wu, LP Morency, R Salakhutdinov
International Conference on Machine Learning, 6565-6576, 2021
Mandati: US National Science Foundation, US Department of Defense, US National …
A closer look at accuracy vs. robustness
YY Yang, C Rashtchian, H Zhang, RR Salakhutdinov, K Chaudhuri
Advances in neural information processing systems 33, 8588-8601, 2020
Mandati: US National Science Foundation, US Department of Defense
Search on the replay buffer: Bridging planning and reinforcement learning
B Eysenbach, RR Salakhutdinov, S Levine
Advances in neural information processing systems 32, 2019
Mandati: US National Science Foundation, US Department of Defense
Stochastic variational deep kernel learning
AG Wilson, Z Hu, RR Salakhutdinov, EP Xing
Advances in neural information processing systems 29, 2016
Mandati: US National Science Foundation
Neural topological slam for visual navigation
DS Chaplot, R Salakhutdinov, A Gupta, S Gupta
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Mandati: US Department of Defense, US Office of the Director of National Intelligence
Graph neural tangent kernel: Fusing graph neural networks with graph kernels
SS Du, K Hou, RR Salakhutdinov, B Poczos, R Wang, K Xu
Advances in neural information processing systems 32, 2019
Mandati: US National Science Foundation, US Department of Defense
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