دنبال کردن
Ruslan Salakhutdinov
Ruslan Salakhutdinov
UPMC Professor, Machine Learning Department, CMU
ایمیل تأیید شده در cs.cmu.edu - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
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
553412014
Reducing the dimensionality of data with neural networks‏
GE Hinton, RR Salakhutdinov‏
science 313 (5786), 504-507, 2006‏
244022006
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
132182015
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
119332012
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
107152019
Siamese neural networks for one-shot image recognition‏
G Koch, R Zemel, R Salakhutdinov‏
ICML deep learning workshop 2 (1), 1-30, 2015‏
57132015
Probabilistic matrix factorization‏
R Salakhutdinov, A Mnih‏
Neural Information Processing Systems 21, 2007‏
5651*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
46992019
Human-level concept learning through probabilistic program induction‏
BM Lake, R Salakhutdinov, JB Tenenbaum‏
Science 350 (6266), 1332-1338, 2015‏
37842015
Deep Boltzmann Machines.‏
R Salakhutdinov, GE Hinton‏
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2009‏
34182009
Unsupervised learning of video representations using lstms‏
N Srivastava, E Mansimov, R Salakhutdinov‏
International Conference on Machine Learning (ICML) 2, 2015‏
34002015
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
33922015
Skip-thought vectors‏
R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ...‏
Advances in neural information processing systems 28, 2015‏
32362015
Deep sets‏
M Zaheer, S Kottur, S Ravanbakhsh, B Poczos, RR Salakhutdinov, ...‏
Advances in neural information processing systems 30, 2017‏
31112017
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
30552021
Neighbourhood components analysis‏
J Goldberger, GE Hinton, S Roweis, RR Salakhutdinov‏
Advances in neural information processing systems 17, 2004‏
30252004
Restricted Boltzmann machines for collaborative filtering‏
R Salakhutdinov, A Mnih, G Hinton‏
Proceedings of the 24th international conference on Machine learning, 791-798, 2007‏
26792007
Revisiting Semi-Supervised Learning with Graph Embeddings‏
Z Yang, W Cohen, R Salakhutdinov‏
International Conference on Machine Learning (ICML), 2016‏
25052016
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
24572018
Unifying visual-semantic embeddings with multimodal neural language models‏
R Kiros, R Salakhutdinov, RS Zemel‏
Transactions of the Association for Computational Linguistics (TACL), 2014‏
2428*2014
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20