Relational Learning Professors in Global

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Mahdi Soltanolkotabi
University of Southern California United States of America
deep learning
transfer learning
machine learning
federated learning
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Konstantinos Kamnitsas
University of Oxford United Kingdom
deep learning
transfer learning
machine learning
federated learning
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Kun Zhang
Carnegie Mellon University United States of America
deep learning
transfer learning
machine learning
causality-based learning
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Fei Wang
Cornell University Netherlands
transfer learning
machine learning
multi-modal learning
federated learning
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Fei Wang
Cornell University Netherlands
transfer learning
machine learning
multi-modal learning
federated learning
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C. Green
University of Wisconsin–Madison United States of America
human learning
perceptual learning
cognitive learning
rate learning
transfer learning
depth learning
motor learning
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Yuhong Guo
Carleton University Canada
representation learning
reinforcement learning
machine learning
federated learning
continual learning
self-supervised learning
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Pascal Poupart
University of Waterloo Canada
causal learning
reinforcement learning
machine learning
federated learning
continual learning
self-supervised learning
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Yuhong Guo
Carleton University Canada
representation learning
reinforcement learning
machine learning
federated learning
continual learning
self-supervised learning
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Yoshua Bengio
University of Montreal Canada
deep learning
statistical learning algorithms
machine learning
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Yichen Zhang
Purdue University United States of America
reinforcement learning
distributed learning
multi-task learning
transfer learning
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Hongpeng Zhou
University of Manchester United Kingdom
deep learning
interpretable learning
machine learning
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Honglak Lee
University of Michigan United States of America
representation learning
deep learning
large-scale learning
machine learning
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Ferenc Huszár
University of Cambridge United Kingdom
representation learning
deep learning
transfer learning
machine learning
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Adam Shephard
University of Warwick United Kingdom
deep learning
machine learning
multi-modal learning
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Oisin Mac Aodha
University of Edinburgh United Kingdom
deep learning
machine learning
machine teaching
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José Júnior
Uppsala University Sweden
distributed learning
machine learning
federated learning
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Hamed Hassani
University of Pennsylvania United States of America
distributed learning
machine learning
federated learning
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Yaoliang Yu
University of Waterloo Canada
representation learning
distributed learning
machine learning
federated learning
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John Garrett
University of Wisconsin–Madison United States of America
deep learning
machine learning
federated learning
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Mohsen Amiri
Stockholm University Sweden
reinforcement learning
deep learning
machine learning
federated learning
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