Ruslan Salakhutdinov
Ruslan Salakhutdinov
UPMC Professor, Machine Learning Department, CMU
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
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
241392014
Reducing the dimensionality of data with neural networks
GE Hinton, RR Salakhutdinov
science 313 (5786), 504-507, 2006
134912006
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
60532015
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
56352012
Semi-supervised learning using gaussian fields and harmonic functions
X Zhu, Z Ghahramani, JD Lafferty
Proceedings of the 20th International conference on Machine learning (ICML …, 2003
39932003
Probabilistic matrix factorization
A Mnih, RR Salakhutdinov
Advances in neural information processing systems, 1257-1264, 2008
37362008
Probabilistic matrix factorization
R Salakhutdinov, A Mnih
Neural Information Processing Systems 21, 2007
3724*2007
Deep Boltzmann Machines.
R Salakhutdinov, GE Hinton
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2009
2458*2009
Principal manifolds and nonlinear dimensionality reduction via tangent space alignment
Z Zhang, H Zha
SIAM journal on scientific computing 26 (1), 313-338, 2004
20662004
Skip-thought vectors
R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ...
Advances in neural information processing systems, 3294-3302, 2015
19282015
Restricted Boltzmann machines for collaborative filtering
R Salakhutdinov, A Mnih, G Hinton
Proceedings of the 24th international conference on Machine learning, 791-798, 2007
18912007
Neighbourhood components analysis
J Goldberger, GE Hinton, S Roweis, RR Salakhutdinov
Advances in neural information processing systems 17, 513-520, 2004
17932004
Unsupervised learning of video representations using lstms
N Srivastava, E Mansimov, R Salakhutdinov
International Conference on Machine Learning (ICML) 2, 2015
16992015
Siamese neural networks for one-shot image recognition
G Koch, R Zemel, R Salakhutdinov
ICML deep learning workshop 2, 2015
16702015
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, 5753-5763, 2019
16402019
Human-level concept learning through probabilistic program induction
BM Lake, R Salakhutdinov, JB Tenenbaum
Science 350 (6266), 1332-1338, 2015
15942015
Multimodal learning with deep boltzmann machines
N Srivastava, R Salakhutdinov
The Journal of Machine Learning Research 15 (1), 2949-2980, 2014
14632014
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
14252008
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
14252008
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
14252008
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Articles 1–20