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
Richard ZemelProfessor of Computer Science, University of TorontoDirección de correo verificada de cs.toronto.edu
Zhilin YangCarnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Ilya SutskeverCo-Founder and Chief Scientist of OpenAIDirección de correo verificada de openai.com
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARDirección de correo verificada de umontreal.ca
Devendra Singh ChaplotMistral AIDirección de correo verificada de mistral.ai
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UDirección de correo verificada de cs.cmu.edu
Jimmy BaUniversity of TorontoDirección de correo verificada de cs.toronto.edu
Joshua B. TenenbaumMITDirección de correo verificada de mit.edu
Jamie KirosOpenAIDirección de correo verificada de openai.com
Kyunghyun ChoNew York University, GenentechDirección de correo verificada de nyu.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
Aaron CourvilleProfessor, DIRO, Université de Montréal, Mila, Cifar CAI chairDirección de correo verificada de umontreal.ca
Yukun ZhuGoogleDirección de correo verificada de google.com
Antonio TorralbaProfessor of Computer Science, MITDirección de correo verificada de csail.mit.edu

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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	52402	2014
Reducing the dimensionality of data with neural networks GE Hinton, RR Salakhutdinov science 313 (5786), 504-507, 2006	23407	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	12653	2015
Improving neural networks by preventing co-adaptation of feature detectors GE Hinton arXiv preprint arXiv:1207.0580, 2012	11499	2012
XLNet: Generalized Autoregressive Pretraining for Language Understanding Z Yang arXiv preprint arXiv:1906.08237, 2019	9875	2019
Probabilistic matrix factorization R Salakhutdinov, A Mnih Neural Information Processing Systems 21, 2007	5522*	2007
Siamese neural networks for one-shot image recognition G Koch, R Zemel, R Salakhutdinov ICML deep learning workshop 2 (1), 1-30, 2015	5349	2015
Transformer-xl: Attentive language models beyond a fixed-length context Z Dai, Z Yang, Y Yang, J Carbonell, QV Le, R Salakhutdinov arXiv preprint arXiv:1901.02860, 2019	4231	2019
Human-level concept learning through probabilistic program induction BM Lake, R Salakhutdinov, JB Tenenbaum Science 350 (6266), 1332-1338, 2015	3601	2015
Deep Boltzmann Machines. R Salakhutdinov, GE Hinton International Conference on Artificial Intelligence and Statistics (AISTATS …, 2009	3453*	2009
Unsupervised learning of video representations using lstms N Srivastava, E Mansimov, R Salakhutdinov International Conference on Machine Learning (ICML) 2, 2015	3259	2015
Skip-thought vectors R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ... Advances in neural information processing systems 28, 2015	3165	2015
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books Y Zhu arXiv preprint arXiv:1506.06724, 2015	3161	2015
Neighbourhood components analysis J Goldberger, GE Hinton, S Roweis, RR Salakhutdinov Advances in neural information processing systems 17, 2004	2916	2004
Deep sets M Zaheer, S Kottur, S Ravanbakhsh, B Poczos, RR Salakhutdinov, ... Advances in neural information processing systems 30, 2017	2791	2017
Restricted Boltzmann machines for collaborative filtering R Salakhutdinov, A Mnih, G Hinton Proceedings of the 24th international conference on Machine learning, 791-798, 2007	2634	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	2372*	2014
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	2322	2021
Revisiting Semi-Supervised Learning with Graph Embeddings Z Yang, W Cohen, R Salakhutdinov International Conference on Machine Learning (ICML), 2016	2254	2016
Multimodal learning with deep boltzmann machines N Srivastava, RR Salakhutdinov Advances in neural information processing systems 25, 2012	2156	2012

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