Mechanistic Learning Professors in Global

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Pascal Poupart
University of Waterloo Canada
self-supervised learning
machine learning
causal learning
reinforcement learning
shot learning
continual learning
federated learning
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Yuhong Guo
Carleton University Canada
representation learning
self-supervised learning
machine learning
reinforcement learning
continual learning
semi-supervised learning
federated learning
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Yuhong Guo
Carleton University Canada
representation learning
self-supervised learning
machine learning
reinforcement learning
continual learning
semi-supervised learning
federated learning
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Lester Jones
Singapore Institute of Technology Singapore
self regulated learning
reflective learning
student learning
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George Papavassilopoulos
University of Southern California United States of America
stochastic learning automata
markovian learning
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Martin Dyke
University of Southampton United Kingdom
work-related learning
experiential learning
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Stephen Mattucci
University of Guelph Canada
self-directed learning
experiential learning
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Marcel D'eon
University of Saskatchewan Canada
cooperative learning
experiential learning
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Raymond Mooney
University of Texas at Austin United States of America
statistical relational learning
natural language learning
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Raymond Mooney
University of Texas at Austin United States of America
machine learning
statistical relational learning
semi-supervised learning
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Stanley Lo
University of California, San Diego United States of America
learning progressions
student learning
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Il-min Kim
Queen's University Canada
distributed learning
continual learning
federated learning
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Joep Van Der Graaf
Radboud University Netherlands
learning process
self-regulated learning
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Lia Fluit
Radboud University Netherlands
complex skills learning
workplace learning
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Peter Waterhouse
Monash University Australia
experiential learning
workplace learning
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Vinay Gogineni
University of Southern Denmark Denmark
self-supervised learning
machine learning
continual learning
quantum machine learning
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Sonja Zaar
Maastricht University Netherlands
learning agility
learning versatility
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Gabrielle Lam
University of British Columbia Canada
experiential learning
self-regulated learning
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Chris Campbell
University of New South Wales Australia
learning design
mobile learning
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Martin Dahl
Linköping University Sweden
federated learning
decentralized learning
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Rupam Mahmood
University of Alberta Canada
reinforcement learning
continual learning
real-time learning systems
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