Deep Representation Learning Professors in Global

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Kin-choong Yow
University of Regina Canada
deep learning
deep reinforcement learning
machine learning
computer vision
pattern recognition
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Pascal Vincent
University of Montreal Canada
representation learning
deep learning
machine learning
neural networks
pattern recognition
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Brokoslaw Laschowski
University of Toronto Canada
deep learning
machine learning
reinforcement learning
neural computation
neural networks
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Hossein Hassani
Toronto Metropolitan University Canada
deep learning
machine learning
reinforcement learning
large language models
computer vision
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Yaoliang Yu
University of Waterloo Canada
representation learning
machine learning
distributed learning
generative modelling
computer vision
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Mikhail Glazunov
Delft University of Technology Netherlands
deep learning
bayesian deep learning
generative modeling
probabilistic modeling
robustness of deep neural networks
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Yuhong Guo
Carleton University Canada
representation learning
machine learning
reinforcement learning
computer vision
self-supervised learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
machine learning
reinforcement learning
large language models
neural networks
statistical learning
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Jason Lee
University of California, Berkeley United States of America
representation learning
deep learning
machine learning
reinforcement learning
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Honglak Lee
University of Michigan United States of America
representation learning
deep learning
machine learning
large-scale learning
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Jason Lee
University of California, Berkeley United States of America
representation learning
deep learning
machine learning
reinforcement learning
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Qiang Qiu
Purdue University United States of America
representation learning
deep learning
machine learning
computer vision
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Sirisha Rambhatla
University of Waterloo Canada
representation learning
deep learning
machine learning
computer vision
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Kevin Luck
Vrije Universiteit Amsterdam Netherlands
deep learning
deep reinforcement learning
robot learning
reinforcement learning
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Atsuto Maki
KTH Royal Institute of Technology Sweden
representation learning
deep learning
machine learning
computer vision
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Yarin Gal
University of Oxford United Kingdom
deep reinforcement learning
deep probabilistic ai
bayesian deep learning
machine learning
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Joseph Gonzalez
University of California, Berkeley United States of America
deep reinforcement learning
accelerated deep learning
machine learning
computer vision
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Gerasimos Spanakis
Maastricht University Netherlands
deep learning
machine learning
computational modeling
neural networks
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Yee Teh
University of Oxford United Kingdom
deep learning
machine learning
large scale machine learning
probabilistic learning
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Graham Taylor
University of Guelph Canada
deep learning
graph representation learning
generative modelling
computer vision
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Benjamin Joffe
Georgia Institute of Technology United States of America
deep learning
machine learning
robot learning
computer vision
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