Deeper Learning Professors in Global

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Yarin Gal
University of Oxford United Kingdom
deep reinforcement learning
bayesian deep learning
machine learning
deep probabilistic ai
artificial intelligence
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Linus Ericsson
University of Glasgow United Kingdom
machine learning
automated machine learning
representation learning
artificial intelligence
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Yuhong Guo
Carleton University Canada
machine learning
reinforcement learning
self-supervised learning
representation learning
artificial intelligence
continual learning
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Yuhong Guo
Carleton University Canada
machine learning
reinforcement learning
self-supervised learning
representation learning
artificial intelligence
continual learning
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Vinay Gogineni
University of Southern Denmark Denmark
machine learning
self-supervised learning
quantum machine learning
continual learning
meta learning
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Apurva Narayan
University of British Columbia Canada
machine learning
quantum machine learning
artificial intelligence
data mining
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Esmaeil Nadimi
University of Southern Denmark Denmark
machine learning
artificial intelligence
meta learning
transfer learning
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Mahdi Khodayar
The University of Tulsa Iran
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deep neural networks
machine learning
artificial intelligence
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Jimmy Ba
University of Toronto Canada
deep neural networks
machine learning
reinforcement learning
artificial intelligence
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Mihai Nica
University of Guelph Canada
deep neural networks
machine learning
artificial intelligence
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John Yen
Pennsylvania State University United States of America
deep representation learning
machine learning
artificial intelligence
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Yarin Gal
University of Oxford United Kingdom
deep reinforcement learning
bayesian deep learning
machine learning
deep probabilistic ai
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Aobo Li
University of California, San Diego United States of America
geometric deep learning
machine learning
self-supervised learning
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Rohitash Chandra
University of New South Wales Australia
bayesian deep learning
machine learning
artificial intelligence
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Rafee Al Ahsan
University of Calgary Canada
deep learning schemes
machine learning
artificial intelligence
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Michael Bronstein
University of Oxford United Kingdom
geometric deep learning
machine learning
artificial intelligence
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Yaoliang Yu
University of Waterloo Canada
machine learning
distributed learning
representation learning
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Hon Kwan
University of Windsor Canada
deep learning
machine learning
deep neural network design
artificial intelligence
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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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Yuke Zhu
University of Texas at Austin United States of America
machine learning
robot learning
artificial intelligence
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Moez Ali
Queen's University Canada
machine learning
automated machine learning
artificial intelligence
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