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
Jamie KirosCo-Founder, StartupVerified email at google.com
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
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
Yao-Hung Hubert TsaiCarnegie Mellon University PhD StudentVerified email at andrew.cmu.edu
Kyunghyun ChoNew York UniversityVerified email at nyu.edu
Manzil ZaheerGoogle ResearchVerified email at cmu.edu
Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.edu
Devendra Singh ChaplotCarnegie Mellon UniversityVerified email at cs.cmu.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
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Emilio ParisottoCarnegie Mellon UniversityVerified email at cs.cmu.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	27432	2014
Reducing the dimensionality of data with neural networks GE Hinton, RR Salakhutdinov science 313 (5786), 504-507, 2006	14885	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	6885	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	6301	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	4192	2003
Probabilistic matrix factorization A Mnih, RR Salakhutdinov Advances in neural information processing systems, 1257-1264, 2008	4038	2008
Probabilistic matrix factorization R Salakhutdinov, A Mnih Neural Information Processing Systems 21, 2007	4023*	2007
Deep Boltzmann Machines. R Salakhutdinov, GE Hinton International Conference on Artificial Intelligence and Statistics (AISTATS …, 2009	2695*	2009
Xlnet: Generalized autoregressive pretraining for language understanding Z Yang, Z Dai, Y Yang, J Carbonell, R Salakhutdinov, QV Le arXiv preprint arXiv:1906.08237, 2019	2371	2019
Principal manifolds and nonlinear dimensionality reduction via tangent space alignment Z Zhang, H Zha SIAM journal on scientific computing 26 (1), 313-338, 2004	2145	2004
Skip-thought vectors R Kiros, Y Zhu, R Salakhutdinov, RS Zemel, A Torralba, R Urtasun, ... arXiv preprint arXiv:1506.06726, 2015	2117	2015
Siamese neural networks for one-shot image recognition G Koch, R Zemel, R Salakhutdinov ICML deep learning workshop 2, 2015	2035	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	2015	2007
Neighbourhood components analysis J Goldberger, GE Hinton, S Roweis, RR Salakhutdinov Advances in neural information processing systems 17, 513-520, 2004	1946	2004
Unsupervised learning of video representations using lstms N Srivastava, E Mansimov, R Salakhutdinov International Conference on Machine Learning (ICML) 2, 2015	1922	2015
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	1839	2015
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	1491	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	1491	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	1491	2008
Unifying visual-semantic embeddings with multimodal neural language models R Kiros, R Salakhutdinov, RS Zemel Transactions of the Association for Computational Linguistics (TACL), 2014	1477*	2014

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