Ruslan Salakhutdinov

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Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoVerified email at cs.toronto.edu
Nitish SrivastavaResearch Scientist, AppleVerified email at cs.toronto.edu
Yao-Hung Hubert TsaiCarnegie Mellon University PhD StudentVerified email at andrew.cmu.edu
William W. CohenCMU and Google DeepMindVerified email at google.com
Zhilin YangCarnegie Mellon UniversityVerified email at cs.cmu.edu
Ilya SutskeverCo-Founder and Chief Scientist at Safe Superintelligence IncVerified email at ssi.inc
Devendra Singh ChaplotMistral AIVerified email at mistral.ai
Richard ZemelProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Joshua B. TenenbaumMITVerified email at mit.edu
Zhiting HuAssistant Professor at UC San DiegoVerified email at ucsd.edu
Emilio ParisottoCarnegie Mellon UniversityVerified email at cs.cmu.edu
Manzil ZaheerGoogle ResearchVerified email at cmu.edu
Yukun ZhuGoogleVerified email at google.com
Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.edu
Sam Roweis (Memorial)New York UniversityVerified email at buffalo.edu
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Yichuan Charlie TangDE ShawVerified email at cs.toronto.edu
Kelvin XuGoogle DeepMindVerified email at google.com
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified 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	54976	2014
Reducing the dimensionality of data with neural networks GE Hinton, RR Salakhutdinov science 313 (5786), 504-507, 2006	24327	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	13177	2015
Improving neural networks by preventing co-adaptation of feature detectors GE Hinton arXiv preprint arXiv:1207.0580, 2012	11862	2012
XLNet: Generalized Autoregressive Pretraining for Language Understanding Z Yang arXiv preprint arXiv:1906.08237, 2019	10662	2019
Siamese neural networks for one-shot image recognition G Koch, R Zemel, R Salakhutdinov ICML deep learning workshop 2 (1), 1-30, 2015	5654	2015
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 arXiv preprint arXiv:1901.02860, 2019	4633	2019
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	3775	2015
Deep Boltzmann Machines. R Salakhutdinov, GE Hinton International Conference on Artificial Intelligence and Statistics (AISTATS …, 2009	3532*	2009
Unsupervised learning of video representations using lstms N Srivastava, E Mansimov, R Salakhutdinov International Conference on Machine Learning (ICML) 2, 2015	3392	2015
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books Y Zhu arXiv preprint arXiv:1506.06724, 2015	3374	2015
Skip-thought vectors R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ... Advances in neural information processing systems 28, 2015	3227	2015
Deep sets M Zaheer, S Kottur, S Ravanbakhsh, B Poczos, RR Salakhutdinov, ... Advances in neural information processing systems 30, 2017	3037	2017
Neighbourhood components analysis J Goldberger, GE Hinton, S Roweis, RR Salakhutdinov Advances in neural information processing systems 17, 2004	3010	2004
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	2959	2021
Restricted Boltzmann machines for collaborative filtering R Salakhutdinov, A Mnih, G Hinton Proceedings of the 24th international conference on Machine learning, 791-798, 2007	2685	2007
Revisiting Semi-Supervised Learning with Graph Embeddings Z Yang, W Cohen, R Salakhutdinov International Conference on Machine Learning (ICML), 2016	2454	2016
Unifying visual-semantic embeddings with multimodal neural language models R Kiros, R Salakhutdinov, RS Zemel Transactions of the Association for Computational Linguistics (TACL), 2014	2446*	2014
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	2322	2018

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