Multitask Learning Professors in Global

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Rupam Mahmood
University of Alberta Canada
reinforcement learning
real-time learning systems
continual learning
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Yuhong Guo
Carleton University Canada
self-supervised learning
reinforcement learning
semi-supervised learning
continual learning
representation learning
federated learning
active learning
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Yuhong Guo
Carleton University Canada
self-supervised learning
reinforcement learning
semi-supervised learning
continual learning
representation learning
federated learning
active learning
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Pascal Poupart
University of Waterloo Canada
self-supervised learning
reinforcement learning
continual learning
federated learning
shot learning
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Antoine Van Den Beemt
Eindhoven University of Technology Belgium
networked learning
challenge-based learning
transdisciplinary learning
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Benedek Kurdi
University of Illinois United States of America
learning
reinforcement learning
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Qingyun Wu
Pennsylvania State University United States of America
learning
reinforcement learning
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Joseph Williams
University of Toronto Canada
learning
reinforcement learning
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Nick Turk-browne
Yale University United States of America
learning
statistical learning
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Anthony Coache
Imperial College London United Kingdom
reinforcement learning
statistical learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
reinforcement learning
statistical learning
online learning
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Susan Murphy
Harvard John Paulson School of Engineering and Applied Sciences United States of America
reinforcement learning
statistical learning
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Kurt Driessens
Maastricht University Netherlands
reinforcement learning
relational learning
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Kurt Driessens
Maastricht University Netherlands
reinforcement learning
relational learning
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Lennart Svensson
Chalmers University of Technology Sweden
reinforcement learning
multi-target tracking
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Violeta Iosub
University of Victoria Canada
collaborative learning
self-directed learning
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Mikael Skoglund
KTH Royal Institute of Technology Sweden
reinforcement learning
distributed learning systems
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Adam White
University of Alberta Canada
reinforcement learning
continual learning
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Oya Celiktutan
King's College London United Kingdom
reinforcement learning
multimodal machine learning
continual learning
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Minjie Xing
University of Manchester United Kingdom
multimodal language teaching
cooperative learning
interactive learning
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John Oommen
Carleton University Canada
stochastic learning
learning systems
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