Data Efficient Learning Professors in Global

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C. Green
University of Wisconsin–Madison United States of America
human learning
cognitive learning
perceptual learning
depth learning
motor learning
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Yuhong Guo
Carleton University Canada
reinforcement learning
federated learning
continual learning
self-supervised learning
representation learning
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Kevin Luck
Vrije Universiteit Amsterdam Netherlands
deep learning
deep reinforcement learning
robot learning
reinforcement learning
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Randall Balestriero
Brown University United States of America
deep learning
learnable signal processing
self-supervised learning
representation learning
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Joseph Gonzalez
University of California, Berkeley United States of America
accelerated deep learning
deep reinforcement learning
federated learning
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Mohsen Amiri
Stockholm University Sweden
deep learning
reinforcement learning
federated learning
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Ali Beikmohammadi
Stockholm University Sweden
deep learning
reinforcement learning
federated learning
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Stefan Stenbom
KTH Royal Institute of Technology Sweden
digital learning
learning engineering
blended learning
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Jason Lee
University of California, Berkeley United States of America
deep learning
reinforcement learning
representation learning
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Luc Paquette
University of Illinois United States of America
educational data mining
digital learning environments
collaborative learning
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Yaoliang Yu
University of Waterloo Canada
distributed learning
federated learning
representation learning
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Jason Lee
University of California, Berkeley United States of America
deep learning
reinforcement learning
representation learning
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Sarthak Yadav
Aalborg University Denmark
deep learning
self-supervised learning
representation learning
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Il-min Kim
Queen's University Canada
distributed learning
federated learning
continual learning
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Pieter Abbeel
University of California, Berkeley United States of America
deep learning
reinforcement learning
imitation learning
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Honglak Lee
University of Michigan United States of America
deep learning
large-scale learning
representation learning
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Yinbei Li
Singapore Institute of Technology Singapore
robot learning
reinforcement learning
imitation learning
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Omid Noroozi
Wageningen University Netherlands
digital learning environments
collaborative learning
technology-enhanced learning
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Qingyun Wu
Pennsylvania State University United States of America
reinforcement learning
automated machine learning
learning
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Yinyu Ye
Stanford University United States of America
reinforcement learning
dynamic optimization
discrete optimization
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Rudolf Lioutikov
University of Texas at Austin United States of America
reinforcement learning
structure learning
imitation learning
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