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Ruslan Salakhutdinov
Ruslan Salakhutdinov
UPMC Professor, Machine Learning Department, CMU
Adresă de e-mail confirmată pe cs.cmu.edu - Pagina de pornire
Titlu
Citat de
Citat de
Anul
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
552922014
Reducing the dimensionality of data with neural networks
GE Hinton, RR Salakhutdinov
science 313 (5786), 504-507, 2006
244272006
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
132312015
Improving neural networks by preventing co-adaptation of feature detectors
GE Hinton
arXiv preprint arXiv:1207.0580, 2012
118992012
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Z Yang
arXiv preprint arXiv:1906.08237, 2019
107682019
Siamese neural networks for one-shot image recognition
G Koch, R Zemel, R Salakhutdinov
ICML deep learning workshop 2 (1), 1-30, 2015
56972015
Probabilistic matrix factorization
R Salakhutdinov, A Mnih
Neural Information Processing Systems 21, 2007
5672*2007
Transformer-xl: Attentive language models beyond a fixed-length context
Z Dai
arXiv preprint arXiv:1901.02860, 2019
46732019
Human-level concept learning through probabilistic program induction
BM Lake, R Salakhutdinov, JB Tenenbaum
Science 350 (6266), 1332-1338, 2015
37992015
Deep Boltzmann Machines.
R Salakhutdinov, GE Hinton
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2009
3547*2009
Unsupervised learning of video representations using lstms
N Srivastava, E Mansimov, R Salakhutdinov
International Conference on Machine Learning (ICML) 2, 2015
34042015
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
33982015
Skip-thought vectors
R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ...
Advances in neural information processing systems 28, 2015
32412015
Deep sets
M Zaheer, S Kottur, S Ravanbakhsh, B Poczos, RR Salakhutdinov, ...
Advances in neural information processing systems 30, 2017
30822017
Neighbourhood components analysis
J Goldberger, GE Hinton, S Roweis, RR Salakhutdinov
Advances in neural information processing systems 17, 2004
30302004
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
30242021
Restricted Boltzmann machines for collaborative filtering
R Salakhutdinov, A Mnih, G Hinton
Proceedings of the 24th international conference on Machine learning, 791-798, 2007
26932007
Revisiting Semi-Supervised Learning with Graph Embeddings
Z Yang, W Cohen, R Salakhutdinov
International Conference on Machine Learning (ICML), 2016
24892016
Unifying visual-semantic embeddings with multimodal neural language models
R Kiros, R Salakhutdinov, RS Zemel
Transactions of the Association for Computational Linguistics (TACL), 2014
2454*2014
HotpotQA: A dataset for diverse, explainable multi-hop question answering
Z Yang, P Qi, S Zhang, Y Bengio, WW Cohen, R Salakhutdinov, ...
arXiv preprint arXiv:1809.09600, 2018
23732018
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