Stebėti
Ruslan Salakhutdinov
Ruslan Salakhutdinov
UPMC Professor, Machine Learning Department, CMU
Patvirtintas el. paštas cs.cmu.edu - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
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
554682014
Reducing the dimensionality of data with neural networks
GE Hinton, RR Salakhutdinov
science 313 (5786), 504-507, 2006
244552006
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
132412015
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
119482012
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
107422019
Siamese neural networks for one-shot image recognition
G Koch, R Zemel, R Salakhutdinov
ICML deep learning workshop 2 (1), 1-30, 2015
57192015
Probabilistic matrix factorization
R Salakhutdinov, A Mnih
Neural Information Processing Systems 21, 2007
5661*2007
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
47202019
Human-level concept learning through probabilistic program induction
BM Lake, R Salakhutdinov, JB Tenenbaum
Science 350 (6266), 1332-1338, 2015
37912015
Deep Boltzmann Machines.
R Salakhutdinov, GE Hinton
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2009
34232009
Unsupervised learning of video representations using lstms
N Srivastava, E Mansimov, R Salakhutdinov
International Conference on Machine Learning (ICML) 2, 2015
34012015
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
34002015
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
31242017
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
30792021
Neighbourhood components analysis
J Goldberger, GE Hinton, S Roweis, RR Salakhutdinov
Advances in neural information processing systems 17, 2004
30272004
Restricted Boltzmann machines for collaborative filtering
R Salakhutdinov, A Mnih, G Hinton
Proceedings of the 24th international conference on Machine learning, 791-798, 2007
26802007
Revisiting Semi-Supervised Learning with Graph Embeddings
Z Yang, W Cohen, R Salakhutdinov
International Conference on Machine Learning (ICML), 2016
25212016
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
24892018
Unifying visual-semantic embeddings with multimodal neural language models
R Kiros, R Salakhutdinov, RS Zemel
Transactions of the Association for Computational Linguistics (TACL), 2014
2435*2014
Sistema negali atlikti operacijos. Bandykite vėliau dar kartą.
Straipsniai 1–20