Meta Learning Professors in Global

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Yuhong Guo
Carleton University Canada
machine learning
representation learning
reinforcement learning
self-supervised learning
semi-supervised learning
continual learning
federated learning
artificial intelligence
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Fei Wang
Cornell University Netherlands
meta-learning
machine learning
transfer learning
data mining
federated learning
multi-modal learning
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C. Green
University of Wisconsin–Madison United States of America
human learning
cognitive learning
depth learning
transfer learning
perceptual learning
motor learning
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Vinay Gogineni
University of Southern Denmark Denmark
meta learning
machine learning
self-supervised learning
continual learning
quantum machine learning
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Ferenc Huszár
University of Cambridge United Kingdom
meta-learning
machine learning
deep learning
representation learning
transfer learning
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Mengye Ren
New York University United States of America
meta-learning
machine learning
representation learning
continual learning
artificial intelligence
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Pieter Abbeel
University of California, Berkeley United States of America
meta-learning
deep learning
imitation learning
reinforcement learning
transfer learning
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Linus Ericsson
University of Glasgow United Kingdom
machine learning
automated machine learning
representation learning
artificial intelligence
multi-modal learning
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Honglak Lee
University of Michigan United States of America
machine learning
deep learning
large-scale learning
representation learning
artificial intelligence
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Junfeng Wen
Carleton University Canada
machine learning
reinforcement learning
transfer learning
federated learning
artificial intelligence
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Esmaeil Nadimi
University of Southern Denmark Denmark
meta learning
machine learning
transfer learning
artificial intelligence
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Mikhail Khodak
University of Wisconsin–Madison United States of America
meta-learning
machine learning
automated machine learning
federated learning
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Sidney Givigi
Queen's University Canada
machine learning
deep learning
reinforcement learning
artificial intelligence
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Igor Jurisica
University of Toronto Canada
machine learning
deep learning
data mining
artificial intelligence
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John Doe
University of Wisconsin–Madison United States of America
machine learning
deep learning
data mining
artificial intelligence
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Kun Zhang
Carnegie Mellon University United States of America
machine learning
deep learning
transfer learning
artificial intelligence
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
machine learning
statistical learning
online learning
reinforcement learning
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Maryam Fazel
University of Washington United States of America
machine learning
deep learning
reinforcement learning
artificial intelligence
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Jason Lee
University of California, Berkeley United States of America
machine learning
deep learning
representation learning
reinforcement learning
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John Quilty
University of Waterloo Canada
machine learning
deep learning
data mining
artificial intelligence
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Pascal Vincent
University of Montreal Canada
machine learning
deep learning
representation learning
artificial intelligence
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