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Ruslan Salakhutdinov
Ruslan Salakhutdinov
UPMC Professor, Machine Learning Department, CMU
Geverifieerd e-mailadres voor cs.cmu.edu - Homepage
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Jaar
Dropout: a simple way to prevent neural networks from overfitting
N Srivastava, G Hinton, A Krizhevsky, I Sutskever, R Salakhutdinov
The journal of machine learning research 15 (1), 1929-1958, 2014
432922014
Reducing the dimensionality of data with neural networks
GE Hinton, RR Salakhutdinov
science 313 (5786), 504-507, 2006
203462006
Show, attend and tell: Neural image caption generation with visual attention
K Xu, J Ba, R Kiros, K Cho, A Courville, R Salakhutdinov, RS Zemel, ...
International Conference on Machine Learning (ICML) 2 (3), 5, 2015
107162015
Improving neural networks by preventing co-adaptation of feature detectors
GE Hinton, N Srivastava, A Krizhevsky, I Sutskever, RR Salakhutdinov
arXiv preprint arXiv:1207.0580, 2012
99552012
Xlnet: Generalized autoregressive pretraining for language understanding
Z Yang, Z Dai, Y Yang, J Carbonell, RR Salakhutdinov, QV Le
Advances in neural information processing systems 32, 2019
70082019
Probabilistic matrix factorization
R Salakhutdinov, A Mnih
Neural Information Processing Systems 21, 2007
5179*2007
Siamese neural networks for one-shot image recognition
G Koch, R Zemel, R Salakhutdinov
ICML deep learning workshop 2 (1), 2015
41502015
Efficient learning of deep Boltzmann machines
R Salakhutdinov, H Larochelle
Proceedings of the thirteenth international conference on artificial …, 2010
36622010
Human-level concept learning through probabilistic program induction
BM Lake, R Salakhutdinov, JB Tenenbaum
Science 350 (6266), 1332-1338, 2015
29572015
Transformer-xl: Attentive language models beyond a fixed-length context
Z Dai, Z Yang, Y Yang, J Carbonell, QV Le, R Salakhutdinov
arXiv preprint arXiv:1901.02860, 2019
28992019
Skip-thought vectors
R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ...
Advances in neural information processing systems 28, 2015
28412015
Unsupervised learning of video representations using lstms
N Srivastava, E Mansimov, R Salakhutdinov
International Conference on Machine Learning (ICML) 2, 2015
27932015
Neighbourhood components analysis
J Goldberger, GE Hinton, S Roweis, RR Salakhutdinov
Advances in neural information processing systems 17, 2004
25542004
Restricted Boltzmann machines for collaborative filtering
R Salakhutdinov, A Mnih, G Hinton
Proceedings of the 24th international conference on Machine learning, 791-798, 2007
24342007
Aligning books and movies: Towards story-like visual explanations by watching movies and reading books
Y Zhu, R Kiros, R Zemel, R Salakhutdinov, R Urtasun, A Torralba, S Fidler
Proceedings of the IEEE international conference on computer vision, 19-27, 2015
23432015
Unifying visual-semantic embeddings with multimodal neural language models
R Kiros, R Salakhutdinov, RS Zemel
Transactions of the Association for Computational Linguistics (TACL), 2014
2109*2014
Deep sets
M Zaheer, S Kottur, S Ravanbakhsh, B Poczos, RR Salakhutdinov, ...
Advances in neural information processing systems 30, 2017
20542017
Multimodal learning with deep boltzmann machines
N Srivastava, RR Salakhutdinov
Advances in neural information processing systems 25, 2012
19612012
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
R Salakhutdinov, A Mnih
Proceedings of the 25th international conference on Machine learning, 880-887, 2008
17542008
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
R Salakhutdinov, A Mnih
Proceedings of the 25th international conference on Machine learning, 880-887, 2008
17542008
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Artikelen 1–20