Representation Learning Professors in Global

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Charles Kemp
University of Melbourne Australia
relational learning
computational models of learning
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John Oommen
Carleton University Canada
stochastic learning
learning systems
pattern recognition
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Michael Mack
University of Toronto Canada
human memory learning
computational modelling
category learning
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Terri Lee
University of Southern California United States of America
virtual learning
integrative learning
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Mehrdad Mahdavi
Pennsylvania State University United States of America
high-dimensional learning
statistical computational learning theory
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Jennifer Howell
University of Western Australia Australia
virtual learning
augmented learning
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Jennifer Lake
University of Toronto Canada
collaborative learning
applied learning
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Mathias Rysgaard
Aalborg University Denmark
mathematical modeling
predictive modeling
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Al Barr
California Institute of Technology United States of America
mathematical modeling
predictive modeling
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Kavita Bala
Cornell University Netherlands
material recognition
material representation editing
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Michael Berry
Princeton University United States of America
predictive computation
neural computation
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Fei Xu
University of California, Berkeley United States of America
number representations
word learning
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Ayman Gh.
Australian National University Australia
deep learning
ranking preference learning
machine learning algorithms
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Michael Maire
University of Chicago United States of America
visual representation learning
machine learning
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Madelon Hulsebos
University of California, Berkeley United States of America
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table representation learning
machine learning
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Brendan Wright
University of New South Wales Australia
generative representation learning
machine learning
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John Yen
Pennsylvania State University United States of America
deep representation learning
knowledge representation
machine learning
federated learning
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V. Saxena
Maastricht University Netherlands
multimodal representational learning
machine learning
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Marwa Mahmoud
University of Glasgow United Kingdom
multimodal representation learning
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John Hummel
University of Illinois United States of America
representation processing
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Takehiko Nagakura
Massachusetts Institute of Technology United States of America
computational representation
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