Representation Learning Professors in Global

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C. Green
University of Wisconsin–Madison United States of America
human learning
perceptual learning
motor learning
transfer learning
cognitive learning
rate learning
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Yuhong Guo
Carleton University Canada
representation learning
reinforcement learning
machine learning
self-supervised learning
federated learning
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Yaoliang Yu
University of Waterloo Canada
representation learning
distributed learning
machine learning
federated learning
generative modelling
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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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Jason Lee
University of California, Berkeley United States of America
representation learning
reinforcement learning
machine learning
deep learning
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Honglak Lee
University of Michigan United States of America
representation learning
machine learning
large-scale learning
deep learning
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Jason Lee
University of California, Berkeley United States of America
representation learning
reinforcement learning
machine learning
deep learning
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Ferenc Huszár
University of Cambridge United Kingdom
representation learning
machine learning
transfer learning
deep learning
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Pascal Vincent
University of Montreal Canada
representation learning
machine learning
pattern recognition
deep learning
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John Yen
Pennsylvania State University United States of America
deep representation learning
knowledge representation
machine learning
federated learning
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Oded Yacobi
University of Sydney Australia
representation theory
combinatorial representation theory
geometric representation theory
categorical representation theory
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Pieter Abbeel
University of California, Berkeley United States of America
imitation learning
reinforcement learning
transfer learning
deep learning
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Yichen Zhang
Purdue University United States of America
reinforcement learning
distributed learning
transfer learning
multi-task learning
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Benedek Kurdi
University of Illinois United States of America
reinforcement learning
learning
causal learning
propositional learning
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Mohsen Amiri
Stockholm University Sweden
reinforcement learning
machine learning
federated learning
deep learning
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Daniel Tubbenhauer
University of Sydney Australia
modular representation theory
machine learning
categorical representation theory
2-representation theory
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Junfeng Wen
Carleton University Canada
reinforcement learning
machine learning
transfer learning
federated learning
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Brokoslaw Laschowski
University of Toronto Canada
reinforcement learning
machine learning
deep learning
neural computation
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Samory Kpotufe
Columbia University United States of America
transfer learning
adaptive learning
multi-task learning
statistical machine learning
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Konstantinos Kamnitsas
University of Oxford United Kingdom
machine learning
transfer learning
federated learning
deep learning
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