Source Based Learning Professors in Global

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Yuhong Guo
Carleton University Canada
self-supervised learning
semi-supervised learning
reinforcement learning
representation learning
continual learning
federated learning
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C. Green
University of Wisconsin–Madison United States of America
human learning
perceptual learning
cognitive learning
motor learning
transfer learning
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Yichen Zhang
Purdue University United States of America
distributed learning
reinforcement learning
multi-task learning
transfer learning
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Tamara Van Gog
Utrecht University Netherlands
example-based learning
learning
multimedia learning
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Benedek Kurdi
University of Illinois United States of America
causal learning
learning
reinforcement learning
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Atsuko Borgmann
Brown University United States of America
content-based instruction
multimodal learning
task-based instruction
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Jessica Lee
University of Sydney Australia
causal learning
rule learning
associative learning
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Andrew Dicks
University of Toronto Canada
problem-based learning
collaborative learning
discovery-based learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
statistical learning
reinforcement learning
online learning
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Marcia Linn
University of California, Berkeley United States of America
learning
computer-mediated learning
simulation learning environments
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Kurt Driessens
Maastricht University Netherlands
relational learning
reinforcement learning
transfer learning
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Rahul Jain
University of Southern California United States of America
statistical learning theory
reinforcement learning
online learning
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Kurt Driessens
Maastricht University Netherlands
relational learning
reinforcement learning
transfer learning
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Yaoliang Yu
University of Waterloo Canada
distributed learning
representation learning
federated learning
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Randall Balestriero
Brown University United States of America
self-supervised learning
representation learning
learnable signal processing
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Yinbei Li
Singapore Institute of Technology Singapore
reinforcement learning
imitation learning
robot learning
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Il-min Kim
Queen's University Canada
distributed learning
continual learning
federated learning
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Pieter Abbeel
University of California, Berkeley United States of America
reinforcement learning
imitation learning
transfer learning
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Rudolf Lioutikov
University of Texas at Austin United States of America
structure learning
reinforcement learning
imitation learning
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Samory Kpotufe
Columbia University United States of America
multi-task learning
transfer learning
adaptive learning
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Junfeng Wen
Carleton University Canada
reinforcement learning
transfer learning
federated learning
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