Learning Representation Professors in Global

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Yuhong Guo
Carleton University Canada
representation learning
reinforcement learning
self-supervised learning
machine learning
federated learning
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Yuhong Guo
Carleton University Canada
representation learning
reinforcement learning
self-supervised learning
machine learning
federated learning
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Benedek Kurdi
University of Illinois United States of America
learning
reinforcement learning
propositional learning
causal learning
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Pascal Poupart
University of Waterloo Canada
reinforcement learning
self-supervised learning
machine learning
causal learning
federated learning
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Guilherme Dinis Chaliane Junior
Stockholm University Sweden
representation learning
reinforcement learning
machine learning
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Jason Lee
University of California, Berkeley United States of America
representation learning
reinforcement learning
machine learning
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Dhruv Shah
Princeton University United States of America
representation learning
reinforcement learning
machine learning
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Jason Lee
University of California, Berkeley United States of America
representation learning
reinforcement learning
machine learning
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Yaoliang Yu
University of Waterloo Canada
representation learning
distributed learning
machine learning
federated learning
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Honglak Lee
University of Michigan United States of America
representation learning
large-scale learning
machine learning
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Linus Ericsson
University of Glasgow United Kingdom
representation learning
multi-modal learning
machine learning
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Randall Balestriero
Brown University United States of America
representation learning
self-supervised learning
learnable signal processing
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Arman Cohan
Yale University United States of America
representation learning
machine learning
language modeling
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Adam White
University of Alberta Canada
knowledge representation
reinforcement learning
machine learning
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Kurt Driessens
Maastricht University Netherlands
data representation
relational learning
reinforcement learning
machine learning
transfer learning
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Kurt Driessens
Maastricht University Netherlands
data representation
relational learning
reinforcement learning
machine learning
transfer learning
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Linköping University Sweden
knowledge representation
machine learning
learning technologies
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Joseph Williams
University of Toronto Canada
learning
reinforcement learning
machine learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
statistical learning
reinforcement learning
machine learning
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Petar Kormushev
Imperial College London United Kingdom
reinforcement learning
robot learning algorithms
machine learning
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Maryam Fazel
University of Washington United States of America
reinforcement learning
learning control
machine learning
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