Class Imbalance Learning Professors in Global

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C. Green
University of Wisconsin–Madison United States of America
cognitive learning
human learning
perceptual learning
motor learning
transfer learning
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Pieter Abbeel
University of California, Berkeley United States of America
imitation learning
reinforcement learning
transfer learning
unsupervised learning
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Yichen Zhang
Purdue University United States of America
multi-task learning
reinforcement learning
distributed learning
transfer learning
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Jan Vermunt
Eindhoven University of Technology Belgium
student learning
challenge-based learning
teacher learning
self-regulated learning
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Yuhong Guo
Carleton University Canada
representation learning
reinforcement learning
self-supervised learning
unsupervised learning
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Yuhong Guo
Carleton University Canada
representation learning
reinforcement learning
self-supervised learning
unsupervised learning
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Florian Shkurti
University of Toronto Canada
imitation learning
inverse reinforcement learning
reinforcement learning
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Yinbei Li
Singapore Institute of Technology Singapore
imitation learning
robot learning
reinforcement learning
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Nicholas Rhinehart
University of Toronto Canada
imitation learning
robot learning
reinforcement learning
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Benedek Kurdi
University of Illinois United States of America
causal learning
learning
reinforcement learning
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Sofia Nyström
Linköping University Sweden
workplace learning
interprofessional learning
professional learning
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Pascal Poupart
University of Waterloo Canada
causal learning
reinforcement learning
self-supervised learning
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Tamara Van Gog
Utrecht University Netherlands
learning
example-based learning
self-regulated learning
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Samory Kpotufe
Columbia University United States of America
multi-task learning
adaptive learning
transfer learning
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Hui-chuan Li
University of Edinburgh United Kingdom
mathematics learning
classroom interaction
learning and assessment
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Gonny Schellings
Eindhoven University of Technology Belgium
professional learning
learning environments
learning strategies
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Tribhi Kathuria
University of Michigan United States of America
imitation learning
inverse reinforcement learning
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Wael Suleiman
University of Sherbrooke Canada
imitation learning
reinforcement learning
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Matthew Howard
King's College London United Kingdom
imitation learning
reinforcement learning
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Rudolf Lioutikov
University of Texas at Austin United States of America
imitation learning
reinforcement learning
structure learning
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Sanjiban Choudhury
Cornell University Netherlands
imitation learning
reinforcement learning
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