Ruslan Salakhutdinov

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Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleVerified email at cs.toronto.edu
Nitish SrivastavaResearch Scientist, AppleVerified email at cs.toronto.edu
Zhilin YangCarnegie Mellon UniversityVerified email at cs.cmu.edu
Richard ZemelProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Ilya SutskeverCo-Founder and Chief Scientist of OpenAIVerified email at openai.com
William W. CohenGoogle AIVerified email at google.com
Yao-Hung Hubert TsaiCarnegie Mellon University PhD StudentVerified email at andrew.cmu.edu
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Jamie KirosCo-Founder, StartupVerified email at google.com
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Jimmy BaUniversity of TorontoVerified email at cs.toronto.edu
Joshua B. TenenbaumMITVerified email at mit.edu
Kyunghyun ChoNew York UniversityVerified email at nyu.edu
Manzil ZaheerGoogle ResearchVerified email at cmu.edu
Devendra Singh ChaplotCarnegie Mellon University, Facebook AI ResearchVerified email at fb.com
Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.edu
Zhiting HuPhD in Machine Learning, Carnegie Mellon University; Incoming Assistant Professor at UC San DiegoVerified email at cs.cmu.edu
Emilio ParisottoCarnegie Mellon UniversityVerified email at cs.cmu.edu
Sam Roweis (Memorial)New York UniversityVerified email at buffalo.edu
Aaron CourvilleUniversité de MontréalVerified email at umontreal.ca

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	29699	2014
Reducing the dimensionality of data with neural networks GE Hinton, RR Salakhutdinov science 313 (5786), 504-507, 2006	15631	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	7392	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	6673	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	4300	2003
Probabilistic matrix factorization A Mnih, RR Salakhutdinov Advances in neural information processing systems, 1257-1264, 2008	4184	2008
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	2982	2019
Deep Boltzmann Machines. R Salakhutdinov, GE Hinton International Conference on Artificial Intelligence and Statistics (AISTATS …, 2009	2813*	2009
Siamese neural networks for one-shot image recognition G Koch, R Zemel, R Salakhutdinov ICML deep learning workshop 2, 2015	2271	2015
Skip-thought vectors R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ... Advances in neural information processing systems, 3294-3302, 2015	2226	2015
Principal manifolds and nonlinear dimensionality reduction via tangent space alignment Z Zhang, H Zha SIAM journal on scientific computing 26 (1), 313-338, 2004	2179	2004
Restricted Boltzmann machines for collaborative filtering R Salakhutdinov, A Mnih, G Hinton Proceedings of the 24th international conference on Machine learning, 791-798, 2007	2074	2007
Unsupervised learning of video representations using lstms N Srivastava, E Mansimov, R Salakhutdinov International Conference on Machine Learning (ICML) 2, 2015	2054	2015
Neighbourhood components analysis J Goldberger, GE Hinton, S Roweis, RR Salakhutdinov Advances in neural information processing systems 17, 2004	2010	2004
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	1997	2015
Unifying visual-semantic embeddings with multimodal neural language models R Kiros, R Salakhutdinov, RS Zemel Transactions of the Association for Computational Linguistics (TACL), 2014	1562*	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	1541	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	1541	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	1541	2008
Semantic hashing R Salakhutdinov, G Hinton SIGIR workshop on Information Retrieval and applications of Graphical Models …, 2007	1484	2007

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