Scalable Learning Professors in Global

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Yuhong Guo
Carleton University Canada
self-supervised learning
continual learning
semi-supervised learning
representation learning
active learning
federated learning
reinforcement learning
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C. Green
University of Wisconsin–Madison United States of America
human learning
motor learning
cognitive learning
perceptual learning
transfer learning
depth learning
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Sham Kakade
Harvard University United States of America
scalable optimization algorithms
learning
large-scale learning systems
scaling laws
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Randall Balestriero
Brown University United States of America
learnable signal processing
self-supervised learning
representation learning
deep learning
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Samory Kpotufe
Columbia University United States of America
adaptive learning
transfer learning
multi-task learning
active learning
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Christian Stöhr
Chalmers University of Technology Sweden
digital learning
hybrid learning
online learning
technology-enhanced learning
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Yichen Zhang
Purdue University United States of America
distributed learning
transfer learning
multi-task learning
reinforcement learning
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Pieter Abbeel
University of California, Berkeley United States of America
imitation learning
transfer learning
reinforcement learning
deep learning
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Xiucai Ding
University of California, Davis United States of America
scalable computation
deep learning
manifold learning
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Natalie Bennett
Monash University Australia
blended learning
collaborative learning
active learning
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Sharon Flecknoe
Monash University Australia
blended learning
collaborative learning
active learning
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Tamara Van Gog
Utrecht University Netherlands
learning
example-based learning
self-regulated learning
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Marie-soleil Beaudoin
Dalhousie University Canada
blended learning
self-regulated learning
online learning
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Moira Maley
University of Western Australia Australia
transformative learning
experiential learning
video learning
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Arthur Galamba
King's College London United Kingdom
collaborative learning
hybrid learning
online learning
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Jennifer Howell
University of Western Australia Australia
virtual learning
augmented learning
online learning
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Julie Willems
Monash University Australia
flexible learning
online learning
technology-enhanced learning
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Jan Vermunt
Eindhoven University of Technology Belgium
student learning
challenge-based learning
self-regulated learning
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Il-min Kim
Queen's University Canada
distributed learning
continual learning
federated learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
statistical learning
online learning
reinforcement learning
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Marcia Linn
University of California, Berkeley United States of America
learning
computer-mediated learning
simulation learning environments
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