Honglak Lee

Cited by

	All	Since 2015
Citations	32573	27141
h-index	66	63
i10-index	109	109

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2008200920102011201220132014201520162017201820192020125 228 411 591 843 1267 1693 2240 3166 3871 5314 6464 6019

Co-authors

Andrew NgStanford UniversityVerified email at cs.stanford.edu
Kihyuk SohnResearch Scientist, GoogleVerified email at google.com
Scott ReedResearch Scientist, Google DeepMindVerified email at google.com
Junhyuk OhResearch Scientist, DeepMindVerified email at google.com
Satinder SinghComputer Science and Engineering, University of MichiganVerified email at umich.edu
Jimei YangSenior Research Scientist, Adobe ResearchVerified email at adobe.com
Ruben VillegasResearch Scientist, Adobe ResearchVerified email at adobe.com
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
Yijie GuoUniversity of Michigan, Ann ArborVerified email at umich.edu
Lajanugen LogeswaranUniversity of MichiganVerified email at umich.edu
Yuting ZhangAmazon Web ServicesVerified email at amazon.com
Zeynep AkataProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
Seunghoon HongAssistant Professor, KAISTVerified email at kaist.ac.kr
Kibok LeeApplied Scientist, Amazon Web ServicesVerified email at amazon.com
Alexis BattleAssociate Professor, Biomedical Engineering, Johns Hopkins UniversityVerified email at cs.jhu.edu
Richard L. LewisProfessor of Psychology, Linguistics and Cognitive Science, University of MichiganVerified email at umich.edu
Roger GrosseAssistant Professor, University of TorontoVerified email at cs.toronto.edu
Rajesh RanganathAssistant Professor, NYUVerified email at cs.princeton.edu
Aditya KhoslaCo-founder and CTO, PathAIVerified email at pathai.com
Juhan NamAssociate Professor, KAISTVerified email at kaist.ac.kr

Honglak Lee

Google Brain / U. Michigan

Verified email at umich.edu - Homepage

Machine Learning Deep Learning Reinforcement Learning Computer Vision Artificial Intelligence


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Efficient sparse coding algorithms H Lee, A Battle, R Raina, AY Ng Advances in neural information processing systems, 801-808, 2006	3017	2006
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations H Lee, R Grosse, R Ranganath, AY Ng Proceedings of the 26th Annual International Conference on Machine Learning …, 2009	2707	2009
Multimodal deep learning J Ngiam, A Khosla, M Kim, J Nam, H Lee, AY Ng Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011	2340	2011
An analysis of single-layer networks in unsupervised feature learning A Coates, H Lee, AY Ng AISTATS, 2011	2290	2011
Generative Adversarial Text to Image Synthesis S Reed, Z Akata, X Yan, L Logeswaran, B Schiele, H Lee arXiv preprint arXiv:1605.05396, 2016	1764	2016
Self-taught learning: Transfer learning from unlabeled data R Raina, A Battle, H Lee, B Packer, AY Ng Proceedings of the 24th international conference on Machine learning, 759-766, 2007	1653	2007
Unsupervised feature learning for audio classification using convolutional deep belief networks H Lee, Y Largman, P Pham, AY Ng Advances in neural information processing systems, 2009	1222	2009
Sparse deep belief net model for visual area V2 H Lee, C Ekanadham, A Ng Advances in neural information processing systems 20, 873-880, 2008	1173	2008
Deep learning for detecting robotic grasps I Lenz, H Lee, A Saxena The International Journal of Robotics Research 34 (4-5), 705-724, 2015	1020	2015
Learning structured output representation using deep conditional generative models K Sohn, H Lee, X Yan Advances in Neural Information Processing Systems, 3483-3491, 2015	1015	2015
Evaluation of Output Embeddings for Fine-Grained Image Classification Z Akata, S Reed, D Walter, H Lee, B Schiele CVPR, 2015	636	2015
Action-conditional video prediction using deep networks in atari games J Oh, X Guo, H Lee, RL Lewis, S Singh Advances in Neural Information Processing Systems, 2845-2853, 2015	615	2015
Attribute2Image: Conditional Image Generation from Visual Attributes X Yan, J Yang, K Sohn, H Lee arXiv preprint arXiv:1512.00570, 2015	560	2015
Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision X Yan, J Yang, E Yumer, Y Guo, H Lee Advances in Neural Information Processing Systems, 1696-1704, 2016	499*	2016
Learning Deep Representations of Fine-Grained Visual Descriptions S Reed, Z Akata, H Lee, B Schiele Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	456	2016
Training Deep Neural Networks on Noisy Labels with Bootstrapping S Reed, H Lee, D Anguelov, C Szegedy, D Erhan, A Rabinovich arXiv preprint arXiv:1412.6596, 2014	445	2014
Learning hierarchical representations for face verification with convolutional deep belief networks GB Huang, H Lee, E Learned-Miller Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012	434	2012
Efficient L~ 1 Regularized Logistic Regression SI Lee, H Lee, P Abbeel, AY Ng Proceedings of the National Conference on Artificial Intelligence 21 (1), 401, 2006	429	2006
Measuring invariances in deep networks I Goodfellow, H Lee, QV Le, A Saxe, AY Ng Advances in neural information processing systems, 646-654, 2009	421	2009
Unsupervised learning of hierarchical representations with convolutional deep belief networks H Lee, R Grosse, R Ranganath, AY Ng Communications of the ACM 54 (10), 95-103, 2011	386	2011

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