Honglak Lee - Concepedia

Author

Honglak Lee

Also Known As

Fatemi, Mehdi, H.-A. Lee, Hee-Yoon Lee, Honglak Lee, Lee, Honglak, Lee, Jinsik, Lee, Kyungmin, Lee, Moontae, Yan, Xinchen

373

Publications

40.6K

Citations

H-Index

191

Concepts

All Affiliations

University of Michigan Google (United States)Ann Arbor Center for Independent Living Stanford University Korea Advanced Institute of Science and Technology

About

Honglak Lee is an author at University of Michigan specializing in engineering, machine learning, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	66	129	27.2K
2	Language Studies	10	10	893
3	Management	5	5	266
4	Education	3	3	118
5	Health Sciences	3	3	191

Honglak Lee

172

Publications

36.5K

Citations

H-Index

Page 1

	Year	Citations
An analysis of single-layer networks in unsupervised feature learning Adam Coates, Andrew Y. Ng, Honglak Lee	2011	2.5K
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations Honglak Lee, Roger Grosse, Rajesh Ranganath, Convolutional Neural NetworkEngineeringMachine LearningDeep Belief NetworksAutoencoders	2009	2.4K
Multimodal Deep Learning Jiquan Ngiam, Aditya Khosla, Mingyu Kim,	2011	2.3K
Learning structured output representation using deep conditional generative models Kihyuk Sohn, Xinchen Yan, Honglak Lee Natural Language ProcessingStructured Output PredictionStructured PredictionMachine VisionMachine Learning	2015	2.1K
Deep learning for detecting robotic grasps Ian Lenz, Honglak Lee, Ashutosh Saxena The International Journal of Robotics Research Convolutional Neural NetworkMachine VisionMachine LearningImage AnalysisRobotic Grasps	2015	1.6K
Self-taught learning Rajat Raina, Alexis Battle, Honglak Lee, EngineeringMachine LearningData ScienceSupervised Classification TasksPattern Recognition	2007	1.5K
Generative Adversarial Text to Image Synthesis Scott Reed, Zeynep Akata, Xinchen Yan, arXiv (Cornell University) Image AnalysisMachine LearningEngineeringGenerative Adversarial NetworkImage Synthesis	2016	1.4K
Generative Adversarial Text to Image Synthesis Scott Reed, Zeynep Akata, Xinchen Yan, Max Planck Digital Library Image AnalysisMachine LearningEngineeringGenerative Adversarial NetworkImage Synthesis	2016	1.1K
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee, Kibok Lee, Honglak Lee, arXiv (Cornell University) EngineeringMachine LearningInformation ForensicsData SciencePattern Recognition	2018	976
Unsupervised feature learning for audio classification using convolutional deep belief networks Honglak Lee, Peter T. Pham, Yan Largman, Neural Information Processing Systems MusicConvolutional Neural NetworkEngineeringMachine LearningHierarchical Representations	2009	939

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