Deep Learning Professors in Global

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Pascal Vincent
University of Montreal Canada
deep learning
machine learning
neural networks
artificial intelligence
big data
pattern recognition
representation learning
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Kin-choong Yow
University of Regina Canada
deep learning
machine learning
deep reinforcement learning
artificial intelligence
pattern recognition
computer vision
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Tahereh Koohi
University of New South Wales Australia
deep learning
machine learning
neural networks
artificial intelligence
evolutionary algorithms
computer vision
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Brokoslaw Laschowski
University of Toronto Canada
deep learning
machine learning
neural networks
artificial intelligence
reinforcement learning
neural computation
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John Doe
University of Wisconsin–Madison United States of America
deep learning
machine learning
artificial intelligence
data analysis
predictive modeling
computer vision
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Yuhong Guo
Carleton University Canada
machine learning
artificial intelligence
reinforcement learning
computer vision
self-supervised learning
representation learning
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Hugo Larochelle
University of Montreal Canada
deep learning
machine learning
neural networks
artificial intelligence
computer vision
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Gerasimos Spanakis
Maastricht University Netherlands
deep learning
machine learning
neural networks
data mining
computational modeling
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University of Sherbrooke Canada
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deep learning
machine learning
artificial intelligence
reinforcement learning
computer vision
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John Doe
University of Wisconsin–Madison United States of America
deep learning
machine learning
artificial intelligence
data mining
computer vision
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Yarin Gal
University of Oxford United Kingdom
machine learning
deep reinforcement learning
bayesian deep learning
deep probabilistic ai
artificial intelligence
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Honglak Lee
University of Michigan United States of America
deep learning
machine learning
artificial intelligence
large-scale learning
representation learning
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Hina Shaheen
University of Manitoba Canada
machine learning
artificial intelligence
statistical machine learning
computational modelling
data analysis
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Sidney Givigi
Queen's University Canada
deep learning
machine learning
artificial intelligence
reinforcement learning
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Seyed Kia
Tilburg University Netherlands
deep learning
machine learning
neural networks
artificial intelligence
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John Doe
KU Leuven Belgium
deep learning
machine learning
neural networks
artificial intelligence
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Xujie Si
University of Toronto Canada
deep learning
machine learning
artificial intelligence
reinforcement learning
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Pouria Rouzrokh
Yale University United States of America
deep learning
machine learning
artificial intelligence
big data
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Yee Teh
University of Oxford United Kingdom
deep learning
machine learning
large scale machine learning
probabilistic learning
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John Doe
University of Wisconsin–Madison United States of America
deep learning
machine learning
neural networks
artificial intelligence
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Yangchen Pan
University of Oxford United Kingdom
deep learning
machine learning
artificial intelligence
reinforcement learning
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