Data Efficient Time Series Representation Learning Professors in Global

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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
representation learning
statistical machine learning
deep learning
machine learning
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Sophia Wilson
University of Copenhagen Denmark
data efficient machine learning
resource efficient machine learning
machine learning
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Ferenc Huszár
University of Cambridge United Kingdom
representation learning
deep learning
machine learning
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Atsuto Maki
KTH Royal Institute of Technology Sweden
representation learning
deep learning
machine learning
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Jason Lee
University of California, Berkeley United States of America
representation learning
deep learning
machine learning
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Tian Liang
University of Manchester United Kingdom
representation learning
deep learning
machine learning
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Mirco Ravanelli
Concordia University Canada
representation learning
deep learning
machine learning
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Sirisha Rambhatla
University of Waterloo Canada
representation learning
spatiotemporal data analysis
deep learning
machine learning
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Pascal Vincent
University of Montreal Canada
representation learning
deep learning
machine learning
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Honglak Lee
University of Michigan United States of America
representation learning
deep learning
machine learning
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Qiang Qiu
Purdue University United States of America
representation learning
deep learning
machine learning
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Sumit Chopra
New York University United States of America
representation learning
deep learning
machine learning
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Fergus Nevill
New York University United States of America
representation learning
deep learning
machine learning
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Jason Lee
University of California, Berkeley United States of America
representation learning
deep learning
machine learning
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Linus Ericsson
University of Glasgow United Kingdom
representation learning
machine learning
automated machine learning
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Yingqian Zhang
Eindhoven University of Technology Belgium
data-driven optimization
deep reinforcement learning
machine learning
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Jason Klusowski
Princeton University United States of America
decision tree learning
statistical learning
deep learning
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Kin-choong Yow
University of Regina Canada
deep reinforcement learning
deep learning
machine learning
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Danica Sutherland
University of British Columbia Canada
theoretical machine learning
statistical machine learning
machine learning
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Ruth Misener
Imperial College London United Kingdom
data-driven optimization
machine learning
computational optimization
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Nicholas Rhinehart
University of Toronto Canada
imitation learning
deep learning
machine learning
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