Ruslan Salakhutdinov

Cited by

	All	Since 2015
Citations	102876	90517
h-index	90	84
i10-index	186	182

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20072008200920102011201220132014201520162017201820192020382 538 745 1048 1175 1614 2331 3422 5493 8970 12543 17863 22548 22925

Co-authors

Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleVerified email at cs.toronto.edu
Nitish SrivastavaStudent, University of TorontoVerified email at cs.toronto.edu
Ilya SutskeverCo-Founder and Chief Scientist of OpenAIVerified email at openai.com
Richard ZemelProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Zhilin YangCarnegie Mellon UniversityVerified email at cs.cmu.edu
William W. CohenGoogle AIVerified email at google.com
Jamie KirosGoogle ResearchVerified email at google.com
Eric XingProfessor of Machine Learning, Language Technology, Computer Science, Cargenie Mellon UniversityVerified email at cs.cmu.edu
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Jimmy BaUniversity of TorontoVerified email at cs.toronto.edu
Joshua B. TenenbaumMITVerified email at mit.edu
Yao-Hung Hubert TsaiCarnegie Mellon University PhD StudentVerified email at andrew.cmu.edu
Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.edu
Kyunghyun ChoNew York UniversityVerified email at nyu.edu
Zhiting HuPhD in MLD, Carnegie Mellon University; Incoming assistant professor at UC San DiegoVerified email at cs.cmu.edu
Sam Roweis (Memorial)New York UniversityVerified email at buffalo.edu
Manzil ZaheerGoogle ResearchVerified email at cmu.edu
Devendra Singh ChaplotCarnegie Mellon UniversityVerified email at cs.cmu.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Chief Scientist, UberVerified email at eng.cam.ac.uk
Andriy MnihResearch Scientist at DeepMindVerified email at cs.toronto.edu

Ruslan Salakhutdinov

UPMC Professor, Machine Learning Department, CMU

Verified email at cs.cmu.edu - Homepage

Machine Learning Artificial Intelligence Deep Learning


Title Sort by citations Sort by year Sort by 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	24396	2014
Reducing the dimensionality of data with neural networks GE Hinton, RR Salakhutdinov science 313 (5786), 504-507, 2006	13595	2006
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	6126	2015
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	5684	2012
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	4016	2003
Probabilistic matrix factorization A Mnih, RR Salakhutdinov Advances in neural information processing systems, 1257-1264, 2008	3766	2008
Probabilistic matrix factorization R Salakhutdinov, A Mnih Neural Information Processing Systems 21, 2007	3754*	2007
Deep Boltzmann Machines. R Salakhutdinov, GE Hinton International Conference on Artificial Intelligence and Statistics (AISTATS …, 2009	2476*	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	2070	2004
Skip-thought vectors R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ... Advances in neural information processing systems 28, 3294-3302, 2015	1952	2015
Restricted Boltzmann machines for collaborative filtering R Salakhutdinov, A Mnih, G Hinton Proceedings of the 24th international conference on Machine learning, 791-798, 2007	1899	2007
Neighbourhood components analysis J Goldberger, GE Hinton, S Roweis, RR Salakhutdinov Advances in neural information processing systems 17, 513-520, 2004	1811	2004
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	1738	2019
Unsupervised learning of video representations using lstms N Srivastava, E Mansimov, R Salakhutdinov International Conference on Machine Learning (ICML) 2, 2015	1721	2015
Siamese neural networks for one-shot image recognition G Koch, R Zemel, R Salakhutdinov ICML deep learning workshop 2, 2015	1710	2015
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	1620	2015
Multimodal learning with deep boltzmann machines N Srivastava, R Salakhutdinov The Journal of Machine Learning Research 15 (1), 2949-2980, 2014	1471	2014
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	1431	2008
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	1431	2008
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	1431	2008

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