Honglak Lee

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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 Michigan and DeepMindVerified email at umich.edu
Jimei YangSenior Research Scientist, Adobe ResearchVerified email at adobe.com
Ruben VillegasResearch Scientist, Adobe ResearchVerified email at adobe.com
Lajanugen LogeswaranUniversity of MichiganVerified email at umich.edu
Yijie GuoUniversity of Michigan, Ann ArborVerified email at umich.edu
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
Seunghoon HongAssistant Professor, KAISTVerified email at kaist.ac.kr
Yuting ZhangAmazon Web ServicesVerified email at amazon.com
Zeynep AkataProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
Kibok LeeApplied Scientist, Amazon Web ServicesVerified email at amazon.com
Xinchen YanSenior Research Scientist, WaymoVerified email at google.com
Alexis BattleAssociate Professor, Biomedical Engineering, Johns Hopkins UniversityVerified email at cs.jhu.edu
Jinwoo ShinAssociate Professor, KAIST AI & EEVerified email at kaist.ac.kr
Richard L. LewisProfessor of Psychology, Linguistics and Cognitive Science, University of MichiganVerified email at umich.edu
Kimin LeePostdoc, UC BerkeleyVerified email at berkeley.edu
Roger GrosseAssistant Professor, University of TorontoVerified email at cs.toronto.edu

Honglak Lee

LG AI Research / 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	3194	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	2953	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	2717	2011
An analysis of single-layer networks in unsupervised feature learning A Coates, H Lee, AY Ng AISTATS, 2011	2647	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	2116	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	1808	2007
Learning structured output representation using deep conditional generative models K Sohn, H Lee, X Yan Advances in Neural Information Processing Systems, 3483-3491, 2015	1359	2015
Supplementary Material: Learning Structured Output Representation using Deep Conditional Generative Models K Sohn, X Yan, H Lee	1359*
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	1328	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	1237	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	1185	2015
Evaluation of Output Embeddings for Fine-Grained Image Classification Z Akata, S Reed, D Walter, H Lee, B Schiele CVPR, 2015	775	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	713	2015
Attribute2Image: Conditional Image Generation from Visual Attributes X Yan, J Yang, K Sohn, H Lee arXiv preprint arXiv:1512.00570, 2015	640	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	600*	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	588	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	576	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	468	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	461	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	459	2009

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