Unsupervised Machine Learning Professors in Global

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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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Yuhong Guo
Carleton University Canada
unsupervised learning
self-supervised learning
semi-supervised learning
weakly supervised learning
machine learning
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Yuhong Guo
Carleton University Canada
unsupervised learning
self-supervised learning
semi-supervised learning
weakly supervised learning
machine learning
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Iro Laina
University of Oxford United Kingdom
unsupervised learning
self-supervised learning
language-supervised learning
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Ulrike Von Luxburg
University of Tübingen Germany
unsupervised learning
machine learning
explainable machine learning
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Vinay Gogineni
University of Southern Denmark Denmark
self-supervised learning
machine learning
quantum machine learning
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Moez Ali
Queen's University Canada
automated machine learning
machine learning
automated modeling
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Danica Sutherland
University of British Columbia Canada
machine learning
statistical machine learning
theoretical machine learning
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Navid Azizan
Massachusetts Institute of Technology United States of America
machine learning
trustworthy machine learning
scientific machine learning
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Yingzhen Li
Imperial College London United Kingdom
machine learning
probabilistic machine learning
explainable machine learning
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Cheng Ouyang
University of Oxford United Kingdom
trustworthy machine learning
uncertainty modeling
multimodal machine learning
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Henrik Boström
KTH Royal Institute of Technology Sweden
trustworthy machine learning
probabilistic machine learning
explainable machine learning
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Yuri Boykov
University of Waterloo Canada
unsupervised learning
self-supervised learning
semi-supervised learning
weakly supervised learning
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Alice Zhao
Northwestern University United States of America
unsupervised learning
machine learning
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Klaus Maier-hein
German Cancer Research Center Germany
unsupervised learning
machine learning
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Louis Ohl
Linköping University Sweden
unsupervised learning
machine learning
positive unlabeled learning
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Morten Mørup
Technical University of Denmark Denmark
unsupervised learning
machine learning
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Mingda Xu
Australian National University Australia
unsupervised learning
machine learning
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Julia Handl
University of Manchester United Kingdom
unsupervised learning
machine learning
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David Choi
Carnegie Mellon University United States of America
unsupervised learning
machine learning
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