Honglak Lee

E753100

Honglak Lee is a computer scientist and researcher known for his contributions to deep learning and representation learning, particularly in unsupervised feature learning.

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Honglak Lee canonical 1

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Predicate Object
instanceOf artificial intelligence researcher
person
academicDegree PhD in computer science
citizenship South Korea NERFINISHED
countryOfCitizenship South Korea
doctoralAdvisor Andrew Ng NERFINISHED
educatedAt Stanford University
University of Michigan
employer Google
LG AI Research NERFINISHED
University of Michigan NERFINISHED
fieldOfWork computer science
computer vision
deep learning
machine learning
neural networks
representation learning
speech recognition
unsupervised feature learning
unsupervised learning
knownFor convolutional deep belief networks
deep learning research
energy-based models for representation learning
representation learning research
sparse coding for feature learning
stacked autoencoders
unsupervised feature learning methods
language English
Korean
notableWork Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations NERFINISHED
Efficient Sparse Coding Algorithms NERFINISHED
Learning Hierarchical Feature Representations with Deep Networks NERFINISHED
Unsupervised Learning of Hierarchical Representations with Convolutional Deep Belief Networks NERFINISHED
positionHeld associate professor of computer science and engineering at the University of Michigan
chief scientist at LG AI Research
research scientist at Google
researchInterest generative models
large-scale optimization for deep learning
semi-supervised learning
structured prediction
transfer learning
unsupervised learning

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Satinder Singh coAuthor Honglak Lee