Learning Architectures Professors in Global

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Sham Kakade
Harvard University United States of America
neural architectures
large-scale learning systems
learning
autonomous agent architectures
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Ruby Lee
Princeton University United States of America
computer architecture
security architecture
processor architecture
multimedia architecture
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Peter Mcmahon
Cornell University Netherlands
computer architecture
statistical learning
algorithms
machine learning
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C. Green
University of Wisconsin–Madison United States of America
human learning
cognitive learning
motor learning
perceptual learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
statistical learning
reinforcement learning
machine learning
neural networks
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Reddy Lab
Princeton University United States of America
learning in artificial systems
learning in natural systems
machine learning
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Henk Corporaal
Eindhoven University of Technology Belgium
deep learning architectures
computer architecture
computation-in-memory architecture
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Benjamin Lee
University of Pennsylvania United States of America
memory architecture
computer architecture
machine learning
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John Oommen
Carleton University Canada
learning systems
stochastic learning
neural networks
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Rudolf Lioutikov
University of Texas at Austin United States of America
structure learning
reinforcement learning
imitation learning
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Noa Zilberman
University of Oxford United Kingdom
computer architecture
networked-systems architectures
machine learning
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Petar Kormushev
Imperial College London United Kingdom
robot learning algorithms
reinforcement learning
machine learning
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Paul Rosenbloom
University of Southern California United States of America
cognitive architecture
machine learning
neural networks
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Christos Kozyrakis
Stanford University United States of America
computer architecture
machine learning systems
machine learning
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
deep architectures
machine learning
representation learning
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Elvis Dohmatob
Concordia University Canada
learning theory
machine learning
neural networks
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Aaron Roth
University of Pennsylvania United States of America
learning theory
algorithms
machine learning
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Stefan Stenbom
KTH Royal Institute of Technology Sweden
learning engineering
digital learning
blended learning
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Lone Hersted
Aalborg University Denmark
learning processes
action learning
organizational learning
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Mohamed Abdelfattah
Cornell University Netherlands
hardware architectures
machine learning
neural networks
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Kurt Driessens
Maastricht University Netherlands
relational learning
reinforcement learning
machine learning
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