On Device Machine Learning Professors in Global

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Kristen Grauman
University of Texas at Austin United States of America
machine learning
deep learning
machine perception
interactive machine learning
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Yisong Yue
California Institute of Technology United States of America
machine learning
statistical machine learning
interactive machine learning
structured machine learning
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Aboelmagd Noureldin
Queen's University Canada
machine vision
machine intelligence
deep learning
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
machine learning
statistical machine learning
deep learning
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Danica Sutherland
University of British Columbia Canada
machine learning
statistical machine learning
theoretical machine learning
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning
machine learning algorithms
machine learning theory
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Hamid Alinejad-rokny
University of New South Wales Australia
machine learning
statistical machine learning
biomedical machine learning
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Nipanjana Patra
University of Western Australia Australia
machine learning
deep learning
pattern detection
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Tal Kachman
Radboud University Netherlands
machine learning
deep learning
financial machine learning
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Oisin Mac Aodha
University of Edinburgh United Kingdom
machine learning
deep learning
machine teaching
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Yee Teh
University of Oxford United Kingdom
machine learning
large scale machine learning
deep learning
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Geoff Webb
Monash University Australia
machine learning
interactive machine learning
ensemble machine learning
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Naveed Akhtar
University of Western Australia Australia
machine learning
deep learning
adversarial machine learning
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Sophia Wilson
University of Copenhagen Denmark
machine learning
resource efficient machine learning
data efficient machine learning
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Benjamin Joffe
Georgia Institute of Technology United States of America
machine learning
deep learning
robot learning
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Kin-choong Yow
University of Regina Canada
machine learning
deep learning
pattern recognition
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George Azzopardi
University of Groningen Netherlands
machine learning
deep learning
pattern recognition
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Divya Sharma
York University Canada
machine learning
deep learning
pattern recognition
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Ke Chen
University of Manchester United Kingdom
machine learning
machine perception
pattern recognition
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Homay Danaei Mehr
Macquarie University Australia
machine learning
deep learning
pattern recognition
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Anil Bharath
Imperial College London United Kingdom
machine learning
deep learning
pattern recognition
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