Feature Learning Professors in Global

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C. Green
University of Wisconsin–Madison United States of America
human learning
motor learning
cognitive learning
perceptual learning
rate learning
depth learning
transfer learning
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Pascal Poupart
University of Waterloo Canada
machine learning
shot learning
reinforcement learning
federated learning
causal learning
self-supervised learning
continual learning
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Yuhong Guo
Carleton University Canada
representation learning
machine learning
reinforcement learning
federated learning
self-supervised learning
continual learning
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Yuhong Guo
Carleton University Canada
representation learning
machine learning
reinforcement learning
federated learning
self-supervised learning
continual learning
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Nicholas Rhinehart
University of Toronto Canada
robot learning
imitation learning
machine learning
deep learning
reinforcement learning
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Pascal Vincent
University of Montreal Canada
pattern recognition
representation learning
machine learning
deep learning
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Atsuto Maki
KTH Royal Institute of Technology Sweden
representation learning
machine learning
deep learning
motion object recognition
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Jason Lee
University of California, Berkeley United States of America
representation learning
machine learning
deep learning
reinforcement learning
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Jason Lee
University of California, Berkeley United States of America
representation learning
machine learning
deep learning
reinforcement learning
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Honglak Lee
University of Michigan United States of America
representation learning
machine learning
deep learning
large-scale learning
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John Garrett
University of Wisconsin–Madison United States of America
machine learning
deep learning
federated learning
image analysis
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Kristen Grauman
University of Texas at Austin United States of America
machine learning
deep learning
visual recognition
object activity recognition
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Ferenc Huszár
University of Cambridge United Kingdom
representation learning
machine learning
deep learning
transfer learning
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Pieter Abbeel
University of California, Berkeley United States of America
imitation learning
deep learning
reinforcement learning
transfer learning
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Mohsen Amiri
Stockholm University Sweden
machine learning
deep learning
reinforcement learning
federated learning
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Yaoliang Yu
University of Waterloo Canada
representation learning
machine learning
federated learning
distributed learning
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Yee Teh
University of Oxford United Kingdom
probabilistic learning
machine learning
deep learning
large scale machine learning
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
representation learning
machine learning
deep learning
statistical machine learning
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John Oommen
Carleton University Canada
pattern recognition
stochastic learning
learning systems
statistical pattern recognition
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Junfeng Wen
Carleton University Canada
machine learning
reinforcement learning
federated learning
transfer learning
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Marios Savvides
Carnegie Mellon University United States of America
machine learning
face recognition
object detection
face detection
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