Feature Learning Professors in Global

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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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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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Pascal Vincent
University of Montreal Canada
pattern recognition
representation learning
machine learning
deep 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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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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Yee Teh
University of Oxford United Kingdom
probabilistic learning
machine learning
deep learning
large scale machine learning
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Vinay Gogineni
University of Southern Denmark Denmark
machine learning
self-supervised learning
continual learning
quantum machine learning
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Kin-choong Yow
University of Regina Canada
pattern recognition
machine learning
deep learning
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Anil Bharath
Imperial College London United Kingdom
pattern recognition
machine learning
deep learning
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George Azzopardi
University of Groningen Netherlands
pattern recognition
machine learning
deep learning
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Vishnu Boddeti
Michigan State University United States of America
pattern recognition
machine learning
deep learning
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Thomas Fevens
Concordia University Canada
pattern recognition
machine learning
deep learning
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Joshua Peeples
Texas A&M University United States of America
pattern recognition
machine learning
deep learning
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Homay Danaei Mehr
Macquarie University Australia
pattern recognition
machine learning
deep learning
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Divya Sharma
York University Canada
pattern recognition
machine learning
deep learning
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Alexandra Branzan Albu
University of Victoria Canada
pattern recognition
machine learning
deep learning
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Stefan Kremer
University of Guelph Canada
pattern recognition
machine learning
deep learning
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Ferenc Huszár
University of Cambridge United Kingdom
representation learning
machine learning
deep learning
transfer 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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