Elearning Professors in Global

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Yuhong Guo
Carleton University Canada
self-supervised learning
continual learning
active learning
federated learning
machine learning
safe learning
reinforcement learning
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Professor
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Yuhong Guo
Carleton University Canada
self-supervised learning
continual learning
active learning
federated learning
machine learning
reinforcement learning
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Minjie Xing
University of Manchester United Kingdom
e-learning
educational technology
interactive learning
cooperative learning
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Oisin Mac Aodha
University of Edinburgh United Kingdom
deep learning
active learning
machine teaching
machine learning
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Ruth Urner
York University Canada
active learning
lifelong learning
machine learning
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Sandra Riomar
University of Gothenburg Sweden
educational technology
distance education
adult learning
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Olof Bälter
Royal Institute of Technology Sweden
technology enhanced learning
learning engineering
question-based learning
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Louis Trudel
University of Ottawa Canada
science learning
distance education
teaching
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Chris Campbell
University of New South Wales Australia
online learning
eportfolios
mobile learning
educational technologies
learning design
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Jonathan Shapiro
University of Manchester United Kingdom
active learning
machine learning
reinforcement learning
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Kevin Jamieson
University of Washington United States of America
active learning
machine learning
reinforcement learning
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Thang Bui
Australian National University Australia
active learning
machine learning
reinforcement learning
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José Júnior
Uppsala University Sweden
federated learning
machine learning
distributed learning
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Hamed Hassani
University of Pennsylvania United States of America
federated learning
machine learning
distributed learning
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Yaoliang Yu
University of Waterloo Canada
federated learning
machine learning
distributed learning
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Yichen Zhang
Purdue University United States of America
multi-task learning
distributed learning
reinforcement learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
online learning
statistical learning
machine learning
reinforcement learning
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Mohsen Amiri
Stockholm University Sweden
deep learning
federated learning
machine learning
reinforcement learning
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Junfeng Wen
Carleton University Canada
federated learning
machine learning
reinforcement learning
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Pascal Poupart
University of Waterloo Canada
self-supervised learning
continual learning
meta learning
federated learning
machine learning
reinforcement learning
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Kurt Driessens
Maastricht University Netherlands
relational learning
machine learning
reinforcement learning
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