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Efficient Deep Learning
Efficient Deep Learning Professors in Global
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Professor
Nathaniel Bastian
Pennsylvania State University
United States of America
deep learning
robust learning
machine learning
federated machine learning
intelligent systems
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Professor
Nicholas Rhinehart
University of Toronto
Canada
deep learning
machine learning
robot learning
imitation learning
reinforcement learning
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Professor
Kin-choong Yow
University of Regina
Canada
deep learning
deep reinforcement learning
machine learning
intelligent systems
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Professor
Kevin Luck
Vrije Universiteit Amsterdam
Netherlands
deep learning
deep reinforcement learning
robot learning
reinforcement learning
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Professor
Yarin Gal
University of Oxford
United Kingdom
deep reinforcement learning
deep probabilistic ai
machine learning
bayesian deep learning
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Professor
Yarin Gal
University of Oxford
United Kingdom
deep reinforcement learning
deep probabilistic ai
machine learning
bayesian deep learning
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Professor
Yinyu Ye
Stanford University
United States of America
discrete optimization
machine learning
dynamic optimization
reinforcement learning
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Professor
Sophia Wilson
University of Copenhagen
Denmark
data efficient machine learning
resource efficient machine learning
machine learning
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Professor
Kilian Weinberger
Cornell University
Netherlands
deep learning
resource efficient learning
machine learning
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Professor
Hon Kwan
University of Windsor
Canada
deep learning
deep neural network design
machine learning
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Professor
Yee Teh
University of Oxford
United Kingdom
deep learning
large scale machine learning
machine learning
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Professor
Jingmin Huang
University of Southampton
United Kingdom
deep learning
deep generative models
machine learning
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Professor
Krishna Swamy
Yale University
United States of America
deep learning
geometric deep learning
machine learning
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Professor
Kristen Grauman
University of Texas at Austin
United States of America
deep learning
interactive machine learning
machine learning
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Professor
Joseph Gonzalez
University of California, Berkeley
United States of America
accelerated deep learning
deep reinforcement learning
machine learning
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Professor
Olga Veksler
University of Waterloo
Canada
deep learning
discrete optimization
machine learning
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Professor
Jiaqi Gu
Arizona State University
China
No active positions
efficient algorithm
efficient ai hardware design
energy-efficient computing
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Professor
Mårten Wadenbäck
Linköping University
Sweden
deep learning
machine learning
robust feature matching
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Professor
Iadh Ounis
University of Glasgow
United Kingdom
deep learning
machine learning
efficient architectures for large-scale information retrieval systems
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Professor
Honglak Lee
University of Michigan
United States of America
deep learning
machine learning
large-scale learning
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Professor
Dong Gong
University of New South Wales
Australia
deep learning
machine learning
continual learning
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