Network Learning Professors in Global

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C. Green
University of Wisconsin–Madison United States of America
human learning
cognitive learning
motor learning
perceptual learning
transfer learning
depth learning
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Pascal Vincent
University of Montreal Canada
representation learning
machine learning
pattern recognition
deep learning
neural networks
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Brokoslaw Laschowski
University of Toronto Canada
machine learning
deep learning
neural networks
reinforcement learning
neural computation
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Qing Zhao
Cornell University Netherlands
machine learning
network science
networks
machine learning systems
networking
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
machine learning
neural networks
statistical learning
online learning
reinforcement learning
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Konstantin Zuev
California Institute of Technology United States of America
network models
network science
network dynamics
network resilience
complex networks
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Konstantin Zuev
California Institute of Technology United States of America
network models
network science
network dynamics
network resilience
complex networks
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Danai Koutra
University of Michigan United States of America
network representation learning
network neuroscience
network similarity
network alignment
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Jason Lee
University of California, Berkeley United States of America
representation learning
machine learning
deep learning
reinforcement learning
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Ferenc Huszár
University of Cambridge United Kingdom
representation learning
machine learning
deep learning
transfer learning
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Honglak Lee
University of Michigan United States of America
representation learning
machine learning
deep learning
large-scale learning
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Jason Lee
University of California, Berkeley United States of America
representation learning
machine learning
deep learning
reinforcement learning
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John Oommen
Carleton University Canada
pattern recognition
neural networks
learning systems
stochastic learning
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Joseph Thekinen
University of Calgary Canada
machine learning
network science
reinforcement learning
meta learning
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Sun-yuan Kung
Princeton University United States of America
machine learning
deep learning
neural networks
networking
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Matthias Grossglauser
École Polytechnique Fédérale de Lausanne Switzerland
machine learning
network science
reinforcement learning
stochastic networks
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Kurt Driessens
Maastricht University Netherlands
machine learning
relational learning
reinforcement learning
transfer learning
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Kurt Driessens
Maastricht University Netherlands
machine learning
relational learning
reinforcement learning
transfer learning
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Pieter Abbeel
University of California, Berkeley United States of America
imitation learning
deep learning
reinforcement learning
transfer learning
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Ayman Gh.
Australian National University Australia
deep learning
machine learning algorithms
ranking preference learning
neural network architecture
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Vaneet Aggarwal
Purdue University United States of America
reinforcement learning
supervised learning
networking
quantum machine learning
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