Human In The Loop Machine Learning Professors in Global

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Roland Goecke
University of New South Wales Australia
machine learning
human-computer interaction
pattern recognition
computational behaviour analysis
computer vision
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Oisin Mac Aodha
University of Edinburgh United Kingdom
machine learning
deep learning
machine teaching
human-robot interaction
computer vision
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Christian Smith
KTH Royal Institute of Technology Sweden
motion modeling
human-centric robotics
reinforcement learning
human tracking
human-robot interaction
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Yee Teh
University of Oxford United Kingdom
machine learning
large scale machine learning
deep learning
probabilistic learning
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Kin-choong Yow
University of Regina Canada
machine learning
deep learning
pattern recognition
computer vision
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
probabilistic machine learning
deep learning theory
dynamical systems machine learning
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Luke Miller
Radboud University Netherlands
machine learning
computational modeling
neural computations
neural network modeling
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Qiang Qiu
Purdue University United States of America
machine learning
deep learning
computer vision
representation learning
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Marynel Vázquez
Yale University United States of America
machine learning
human-computer interaction
human-robot interaction
computer vision
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Ke Chen
University of Manchester United Kingdom
machine learning
pattern recognition
machine perception
computer vision
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John Doe
University of Wisconsin–Madison United States of America
machine learning
deep learning
human-computer interaction
computer vision
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Sirisha Rambhatla
University of Waterloo Canada
machine learning
deep learning
computer vision
representation learning
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Alexandra Branzan Albu
University of Victoria Canada
machine learning
deep learning
pattern recognition
computer vision
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Seyran Khademi
Delft University of Technology Netherlands
machine learning
deep learning
visual similarity learning
computer vision
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Divya Sharma
York University Canada
machine learning
deep learning
pattern recognition
computer vision
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Penny Kyburz
Australian National University Australia
machine learning
human-computer interaction
human-ai teaming
human-ai interaction
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Ali Ayub
Concordia University Canada
machine learning
human-computer interaction
human-robot interaction
computer vision
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Atsuto Maki
KTH Royal Institute of Technology Sweden
machine learning
deep learning
computer vision
representation learning
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Brokoslaw Laschowski
University of Toronto Canada
machine learning
deep learning
reinforcement learning
neural computation
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Özgüç Çapunaman
University of Southern Denmark Denmark
machine learning
learning robots
human-robot interaction
computer vision
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Vishnu Boddeti
Michigan State University United States of America
machine learning
deep learning
pattern recognition
computer vision
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