Unsupervised Semi Supervised Representation Learning Professors in Global

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Yuhong Guo
Carleton University Canada
semi-supervised learning
unsupervised learning
self-supervised learning
weakly supervised learning
representation learning
machine learning
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Yuhong Guo
Carleton University Canada
semi-supervised learning
unsupervised learning
self-supervised learning
weakly supervised learning
representation learning
machine learning
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Linus Ericsson
University of Glasgow United Kingdom
representation learning
automated machine learning
multi-modal learning
machine learning
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
representation learning
statistical machine learning
machine learning
deep learning
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Nicholas Rhinehart
University of Toronto Canada
imitation learning
machine learning
deep learning
robot learning
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Iro Laina
University of Oxford United Kingdom
unsupervised learning
self-supervised learning
language-supervised learning
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Francisco Pena Escobar
Royal Institute of Technology Sweden
unsupervised learning
self-supervised learning
machine learning
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Francisco Pena Escobar
KTH Royal Institute of Technology Sweden
unsupervised learning
self-supervised learning
machine learning
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Sarthak Yadav
Aalborg University Denmark
self-supervised learning
representation learning
deep learning
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Randall Balestriero
Brown University United States of America
self-supervised learning
representation learning
deep learning
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Pieter Abbeel
University of California, Berkeley United States of America
unsupervised learning
imitation learning
deep learning
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Vinay Gogineni
University of Southern Denmark Denmark
self-supervised learning
quantum machine learning
machine learning
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Raymond Wong
Texas A&M University United States of America
semi-parametric modeling
statistical learning
nonparametric modeling
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Yiqiao Zhong
University of Wisconsin–Madison United States of America
self-supervised learning
machine learning
deep learning
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Han Liu
Northwestern University United States of America
representation learning
nonparametric structure learning
machine learning
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Yaoliang Yu
University of Waterloo Canada
representation learning
distributed learning
machine learning
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Ferenc Huszár
University of Cambridge United Kingdom
representation learning
machine learning
deep learning
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Atsuto Maki
KTH Royal Institute of Technology Sweden
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
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Tian Liang
University of Manchester United Kingdom
representation learning
machine learning
deep learning
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Mirco Ravanelli
Concordia University Canada
representation learning
machine learning
deep learning
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