Data Driven Learning Professors in Global

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Honglak Lee
University of Michigan United States of America
deep learning
large-scale learning
representation learning
machine learning
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Carlo Ciliberto
University College London United Kingdom
statistical learning theory
machine learning
multi-task learning
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Nicholas Rhinehart
University of Toronto Canada
deep learning
robot learning
machine learning
reinforcement learning
imitation learning
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Abhishek Gupta
University of Washington United States of America
machine learning
multi-task learning
deep reinforcement learning
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Florian Shkurti
University of Toronto Canada
machine learning
data-driven sensor simulation
reinforcement learning
imitation learning
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Moira Maley
University of Western Australia Australia
video learning
experiential learning
transformative learning
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Luc Paquette
University of Illinois United States of America
educational data mining
digital learning environments
learning analytics
collaborative learning
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Omid Noroozi
Wageningen University Netherlands
digital learning environments
technology-enhanced learning
collaborative learning
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Andrew Dicks
University of Toronto Canada
problem-based learning
discovery-based learning
collaborative learning
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Malcolm Ryan
Macquarie University Australia
games-based learning
machine learning
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Rebekah Baglini
Aarhus University Denmark
data linguistics
machine learning
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Damon Weiss
Carnegie Mellon University United States of America
data-informed design
machine learning
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Damon Weiss
Carnegie Mellon University United States of America
data-informed design
machine learning
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Satyasaran Changdar
University of Copenhagen Denmark
deep learning
data-driven scientific computing
machine learning
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Amir Payberah
KTH Royal Institute of Technology Sweden
data-intensive computing
machine learning
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Alex Szalay
Johns Hopkins University United States of America
data-intensive computing
machine learning
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Edward Johns
Imperial College London United Kingdom
robot learning
machine learning
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Tran Nguyen Le
Technical University of Denmark Denmark
robot learning
machine learning
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Yuke Zhu
University of Texas at Austin United States of America
robot learning
machine learning
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Dinesh Jayaraman
University of Pennsylvania United States of America
robot learning
machine learning
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Lerrel Pinto
New York University United States of America
robot learning
machine learning
reinforcement learning
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