Large Scale Learning Professors in Global

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Semih Cayci
RWTH Aachen University Germany
deep learning theory
machine learning
reinforcement learning
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George Amvrosiadis
Carnegie Mellon University United States of America
machine learning
scalable machine learning
big data analytics
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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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Nathaniel Bastian
Pennsylvania State University United States of America
deep learning
machine learning
big data analytics
robust learning
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Danica Sutherland
University of British Columbia Canada
machine learning
statistical machine learning
theoretical machine learning
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Matthew Howard
King's College London United Kingdom
machine learning
imitation learning
reinforcement learning
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Giorgia Ramponi
University of Zurich Switzerland
machine learning
imitation learning
reinforcement learning
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Florian Shkurti
University of Toronto Canada
machine learning
imitation learning
reinforcement learning
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Nicholas Rhinehart
University of Toronto Canada
deep learning
robot learning
machine learning
imitation learning
reinforcement learning
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Florian Shkurti
University of Toronto Canada
machine learning
imitation learning
reinforcement learning
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Melih Kandemir
University of Southern Denmark Denmark
machine learning
deep neural networks
reinforcement learning
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Jimmy Ba
University of Toronto Canada
machine learning
deep neural networks
reinforcement learning
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
large language models
deep learning
machine learning
statistical machine learning
representation learning
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Mark Crowley
University of Waterloo Canada
machine learning
big data analytics
reinforcement learning
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Zhenman Fang
Simon Fraser University Canada
machine learning
big data analytics
big data computing systems
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Yaoliang Yu
University of Waterloo Canada
machine learning
distributed learning
representation learning
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Ruoqing Zhu
University of Illinois United States of America
machine learning
high-dimensional data
reinforcement learning
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Guilherme Dinis Chaliane Junior
Stockholm University Sweden
machine learning
representation learning
reinforcement learning
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Yuhong Guo
Carleton University Canada
machine learning
representation learning
reinforcement learning
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Jason Lee
University of California, Berkeley United States of America
deep learning
machine learning
representation learning
reinforcement learning
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Dhruv Shah
Princeton University United States of America
machine learning
representation learning
reinforcement learning
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