Ruslan Salakhutdinov

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Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoDirección de correo verificada de cs.toronto.edu
Nitish SrivastavaResearch Scientist, AppleDirección de correo verificada de cs.toronto.edu
Yao-Hung Hubert TsaiCarnegie Mellon University PhD StudentDirección de correo verificada de andrew.cmu.edu
William W. CohenCMU and Google DeepMindDirección de correo verificada de google.com
Zhilin YangCarnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Ilya SutskeverCo-Founder and Chief Scientist at Safe Superintelligence IncDirección de correo verificada de ssi.inc
Devendra Singh ChaplotMistral AIDirección de correo verificada de mistral.ai
Richard ZemelProfessor of Computer Science, University of TorontoDirección de correo verificada de cs.toronto.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UDirección de correo verificada de cs.cmu.edu
Joshua B. TenenbaumMITDirección de correo verificada de mit.edu
Zhiting HuAssistant Professor at UC San DiegoDirección de correo verificada de ucsd.edu
Emilio ParisottoCarnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Manzil ZaheerGoogle ResearchDirección de correo verificada de cmu.edu
Yukun ZhuGoogleDirección de correo verificada de google.com
Antonio TorralbaProfessor of Computer Science, MITDirección de correo verificada de csail.mit.edu
Sam Roweis (Memorial)New York UniversityDirección de correo verificada de buffalo.edu
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Yichuan Charlie TangDE ShawDirección de correo verificada de cs.toronto.edu
Kelvin XuGoogle DeepMindDirección de correo verificada de google.com
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARDirección de correo verificada de umontreal.ca

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Ruslan Salakhutdinov

UPMC Professor, Machine Learning Department, CMU

Dirección de correo verificada de cs.cmu.edu - Página principal

Machine Learning Artificial Intelligence Deep Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	55380	2014
Reducing the dimensionality of data with neural networks GE Hinton, RR Salakhutdinov science 313 (5786), 504-507, 2006	24448	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	13255	2015
Improving neural networks by preventing co-adaptation of feature detectors GE Hinton arXiv preprint arXiv:1207.0580, 2012	11913	2012
XLNet: Generalized Autoregressive Pretraining for Language Understanding Z Yang arXiv preprint arXiv:1906.08237, 2019	10787	2019
Siamese neural networks for one-shot image recognition G Koch, R Zemel, R Salakhutdinov ICML deep learning workshop 2 (1), 1-30, 2015	5712	2015
Probabilistic matrix factorization R Salakhutdinov, A Mnih Neural Information Processing Systems 21, 2007	5671*	2007
Transformer-xl: Attentive language models beyond a fixed-length context Z Dai arXiv preprint arXiv:1901.02860, 2019	4684	2019
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	3802	2015
Deep Boltzmann Machines. R Salakhutdinov, GE Hinton International Conference on Artificial Intelligence and Statistics (AISTATS …, 2009	3549*	2009
Unsupervised learning of video representations using lstms N Srivastava, E Mansimov, R Salakhutdinov International Conference on Machine Learning (ICML) 2, 2015	3410	2015
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books Y Zhu arXiv preprint arXiv:1506.06724, 2015	3409	2015
Skip-thought vectors R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ... Advances in neural information processing systems 28, 2015	3245	2015
Deep sets M Zaheer, S Kottur, S Ravanbakhsh, B Poczos, RR Salakhutdinov, ... Advances in neural information processing systems 30, 2017	3092	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	3044	2021
Neighbourhood components analysis J Goldberger, GE Hinton, S Roweis, RR Salakhutdinov Advances in neural information processing systems 17, 2004	3035	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	2693	2007
Revisiting Semi-Supervised Learning with Graph Embeddings Z Yang, W Cohen, R Salakhutdinov International Conference on Machine Learning (ICML), 2016	2495	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	2454*	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	2394	2018

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