Assistive Learning Professors in Global

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Yuhong Guo
Carleton University Canada
active learning
self-supervised learning
semi-supervised learning
representation learning
artificial intelligence
continual learning
reinforcement learning
federated learning
unsupervised learning
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Yuhong Guo
Carleton University Canada
active learning
self-supervised learning
semi-supervised learning
representation learning
artificial intelligence
continual learning
reinforcement learning
federated learning
unsupervised learning
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Patrick Pilarski
University of Alberta Canada
assistive robotics
artificial intelligence
reinforcement learning
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Bertrand Schneider
Harvard Graduate School of Education United States of America
learning support
artificial intelligence
learning environments
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Nathaly Verwaal
University of Calgary Canada
active learning
self-directed learning
team-based learning
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Pierre Dillenbourg
École Polytechnique Fédérale de Lausanne Switzerland
collaborative learning
computer-supported collaborative learning
learning technologies
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Tomas Nordström
Umeå University Sweden
collaborative learning
artificial intelligence
federated 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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Linköping University Sweden
artificial intelligence
augmented reality
learning technologies
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Antoine Van Den Beemt
Eindhoven University of Technology Belgium
networked learning
technology enhanced learning
transdisciplinary learning
challenge-based learning
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Francois Rivest
Royal Military College of Canada Canada
artificial intelligence
animal learning
reinforcement learning
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Chih-pu Dai
Texas A&M University United States of America
artificial intelligence in education
simulation-based learning
game-based learning
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Bassel Al Homsi
University of New South Wales Australia
artificial intelligence
distributed learning
federated learning
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Adam White
University of Alberta Canada
artificial intelligence
continual learning
reinforcement learning
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Shubham Vaishnav
Stockholm University Sweden
artificial intelligence
reinforcement learning
federated learning
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Junfeng Wen
Carleton University Canada
artificial intelligence
reinforcement learning
federated learning
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Rahul Jain
University of Southern California United States of America
artificial intelligence
reinforcement learning
online learning
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Rahul Jain
University of Southern California United States of America
artificial intelligence
reinforcement learning
online learning
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Yichen Zhang
Purdue University United States of America
multi-task learning
distributed learning
reinforcement learning
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Mehrdad Mahdavi
Pennsylvania State University United States of America
artificial intelligence
high-dimensional learning
online learning
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Il-min Kim
Queen's University Canada
distributed learning
continual learning
federated learning
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