Ruslan Salakhutdinov

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Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoEmail confirmado em cs.toronto.edu
Nitish SrivastavaResearch Scientist, AppleEmail confirmado em cs.toronto.edu
Yao-Hung Hubert TsaiCarnegie Mellon University PhD StudentEmail confirmado em andrew.cmu.edu
William W. CohenCMU and Google DeepMindEmail confirmado em google.com
Zhilin YangCarnegie Mellon UniversityEmail confirmado em cs.cmu.edu
Ilya SutskeverCo-Founder and Chief Scientist of OpenAIEmail confirmado em openai.com
Devendra Singh ChaplotMistral AIEmail confirmado em mistral.ai
Richard ZemelProfessor of Computer Science, University of TorontoEmail confirmado em cs.toronto.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UEmail confirmado em cs.cmu.edu
Joshua B. TenenbaumMITEmail confirmado em mit.edu
Zhiting HuAssistant Professor at UC San DiegoEmail confirmado em ucsd.edu
Emilio ParisottoCarnegie Mellon UniversityEmail confirmado em cs.cmu.edu
Manzil ZaheerGoogle ResearchEmail confirmado em cmu.edu
Yukun ZhuGoogleEmail confirmado em google.com
Antonio TorralbaProfessor of Computer Science, MITEmail confirmado em csail.mit.edu
Sam Roweis (Memorial)New York UniversityEmail confirmado em buffalo.edu
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityEmail confirmado em cs.cmu.edu
Yichuan Charlie TangDE ShawEmail confirmado em cs.toronto.edu
Kelvin XuGoogle DeepMindEmail confirmado em google.com
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFAREmail confirmado em umontreal.ca

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Ruslan Salakhutdinov

UPMC Professor, Machine Learning Department, CMU

Email confirmado em cs.cmu.edu - Página inicial

Machine Learning Artificial Intelligence Deep Learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	54242	2014
Reducing the dimensionality of data with neural networks GE Hinton, RR Salakhutdinov science 313 (5786), 504-507, 2006	24043	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	13024	2015
Improving neural networks by preventing co-adaptation of feature detectors GE Hinton arXiv preprint arXiv:1207.0580, 2012	11765	2012
XLNet: Generalized Autoregressive Pretraining for Language Understanding Z Yang arXiv preprint arXiv:1906.08237, 2019	10449	2019
Probabilistic matrix factorization R Salakhutdinov, A Mnih Neural Information Processing Systems 21, 2007	5609*	2007
Siamese neural networks for one-shot image recognition G Koch, R Zemel, R Salakhutdinov ICML deep learning workshop 2 (1), 1-30, 2015	5555	2015
Transformer-xl: Attentive language models beyond a fixed-length context Z Dai arXiv preprint arXiv:1901.02860, 2019	4520	2019
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	3734	2015
Deep Boltzmann Machines. R Salakhutdinov, GE Hinton International Conference on Artificial Intelligence and Statistics (AISTATS …, 2009	3513*	2009
Unsupervised learning of video representations using lstms N Srivastava, E Mansimov, R Salakhutdinov International Conference on Machine Learning (ICML) 2, 2015	3353	2015
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books Y Zhu arXiv preprint arXiv:1506.06724, 2015	3320	2015
Skip-thought vectors R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ... Advances in neural information processing systems 28, 2015	3209	2015
Neighbourhood components analysis J Goldberger, GE Hinton, S Roweis, RR Salakhutdinov Advances in neural information processing systems 17, 2004	2982	2004
Deep sets M Zaheer, S Kottur, S Ravanbakhsh, B Poczos, RR Salakhutdinov, ... Advances in neural information processing systems 30, 2017	2968	2017
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	2772	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	2676	2007
Unifying visual-semantic embeddings with multimodal neural language models R Kiros, R Salakhutdinov, RS Zemel Transactions of the Association for Computational Linguistics (TACL), 2014	2421*	2014
Revisiting Semi-Supervised Learning with Graph Embeddings Z Yang, W Cohen, R Salakhutdinov International Conference on Machine Learning (ICML), 2016	2386	2016
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	2217	2018

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