Mechanistic Learning Professors in Global

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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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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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Sascha Schneider
University of Zurich Switzerland
cognitive learning
motivational learning
social learning
meta-cognitive learning
emotional learning
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C. Green
University of Wisconsin–Madison United States of America
motor learning
human learning
cognitive learning
perceptual learning
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Nicholas Rhinehart
University of Toronto Canada
robot learning
imitation learning
machine learning
reinforcement learning
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Linus Ericsson
University of Glasgow United Kingdom
representation learning
multi-modal learning
automated machine learning
machine learning
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Yaoliang Yu
University of Waterloo Canada
representation learning
machine learning
distributed learning
federated 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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Yinbei Li
Singapore Institute of Technology Singapore
robot learning
imitation learning
reinforcement learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
statistical learning
machine learning
reinforcement learning
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Klaus Müller
Technical University of Berlin Germany
probabilistic machine learning
multimodal learning
machine learning
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Klaus-robert Müller
Technical University of Berlin Germany
probabilistic machine learning
multimodal learning
machine learning
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Lerrel Pinto
New York University United States of America
robot learning
machine learning
reinforcement learning
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Giorgia Ramponi
University of Zurich Switzerland
imitation learning
machine learning
reinforcement learning
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Samory Kpotufe
Columbia University United States of America
multi-task learning
adaptive learning
statistical machine learning
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Dhruv Shah
Princeton University United States of America
representation learning
machine learning
reinforcement learning
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Matthew Howard
King's College London United Kingdom
imitation learning
machine learning
reinforcement learning
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Reddy Lab
Princeton University United States of America
learning in artificial systems
machine learning
learning in natural systems
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
representation learning
machine learning
statistical machine learning
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Jason Lee
University of California, Berkeley United States of America
representation learning
machine learning
reinforcement learning
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