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Ruslan Salakhutdinov
Ruslan Salakhutdinov
UPMC Professor, Machine Learning Department, CMU
Zweryfikowany adres z cs.cmu.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
524862014
Reducing the dimensionality of data with neural networks
GE Hinton, RR Salakhutdinov
science 313 (5786), 504-507, 2006
234242006
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
126702015
Improving neural networks by preventing co-adaptation of feature detectors
GE Hinton
arXiv preprint arXiv:1207.0580, 2012
115112012
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Z Yang
arXiv preprint arXiv:1906.08237, 2019
98902019
Probabilistic matrix factorization
R Salakhutdinov, A Mnih
Neural Information Processing Systems 21, 2007
5528*2007
Siamese neural networks for one-shot image recognition
G Koch, R Zemel, R Salakhutdinov
ICML deep learning workshop 2 (1), 1-30, 2015
53592015
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
42422019
Human-level concept learning through probabilistic program induction
BM Lake, R Salakhutdinov, JB Tenenbaum
Science 350 (6266), 1332-1338, 2015
36082015
Deep Boltzmann Machines.
R Salakhutdinov, GE Hinton
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2009
3453*2009
Unsupervised learning of video representations using lstms
N Srivastava, E Mansimov, R Salakhutdinov
International Conference on Machine Learning (ICML) 2, 2015
32612015
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books
Y Zhu
arXiv preprint arXiv:1506.06724, 2015
31662015
Skip-thought vectors
R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ...
Advances in neural information processing systems 28, 2015
31662015
Neighbourhood components analysis
J Goldberger, GE Hinton, S Roweis, RR Salakhutdinov
Advances in neural information processing systems 17, 2004
29172004
Deep sets
M Zaheer, S Kottur, S Ravanbakhsh, B Poczos, RR Salakhutdinov, ...
Advances in neural information processing systems 30, 2017
27932017
Restricted Boltzmann machines for collaborative filtering
R Salakhutdinov, A Mnih, G Hinton
Proceedings of the 24th international conference on Machine learning, 791-798, 2007
26342007
Unifying visual-semantic embeddings with multimodal neural language models
R Kiros, R Salakhutdinov, RS Zemel
Transactions of the Association for Computational Linguistics (TACL), 2014
2373*2014
Hubert: Self-supervised speech representation learning by masked prediction of hidden units
WN Hsu, B Bolte, YHH Tsai, K Lakhotia, R Salakhutdinov, A Mohamed
IEEE/ACM transactions on audio, speech, and language processing 29, 3451-3460, 2021
23642021
Revisiting Semi-Supervised Learning with Graph Embeddings
Z Yang, W Cohen, R Salakhutdinov
International Conference on Machine Learning (ICML), 2016
22662016
Multimodal learning with deep boltzmann machines
N Srivastava, RR Salakhutdinov
Advances in neural information processing systems 25, 2012
21562012
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