Robust Interpretable Learning Professors in Global

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Natalie Bennett
Monash University Australia
constructivist learning
collaborative learning
blended learning
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Tobias Eifler
Technical University of Denmark Denmark
robust design
structural robustness
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Tanya Titchkosky
University of Toronto Canada
interpretive methods
interpretive sociology
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Ehsan Mobaraki
Aalborg University Denmark
explainable artificial intelligence
knowledge representation learning
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Igor Jurisica
University of Toronto Canada
explainable ai models
integrative computational biology
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Jason Klusowski
Princeton University United States of America
decision tree learning
statistical learning
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Muhammad Hafez
University of Southampton United Kingdom
reinforcement learning
robot learning
continual robot learning
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Sophia Wilson
University of Copenhagen Denmark
resource efficient machine learning
data efficient machine learning
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Jan Retelsdorf
University of Hamburg Germany
text comprehension learning
learning instruction
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Kevin Luck
Vrije Universiteit Amsterdam Netherlands
reinforcement learning
robot learning
deep reinforcement learning
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Mie Buhl
Aalborg University Denmark
visual learning
hybrid learning
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Stefano Galelli
Cornell University Netherlands
statistical learning
robust management solutions
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Stefano Galelli
Cornell University Netherlands
statistical learning
robust management solutions
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Anne Waagepetersen
Aalborg University Denmark
collaborative organizational learning
learning collaborations
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Vinay Gogineni
University of Southern Denmark Denmark
self-supervised learning
continual learning
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Yuhong Guo
Carleton University Canada
reinforcement learning
representation learning
self-supervised learning
continual learning
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Pascal Poupart
University of Waterloo Canada
reinforcement learning
causal learning
self-supervised learning
continual learning
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Yuhong Guo
Carleton University Canada
reinforcement learning
representation learning
self-supervised learning
continual learning
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Jessica Lee
University of Sydney Australia
causal learning
rule learning
associative learning
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Qiang Liu
University of Texas at Austin United States of America
deep distributed learning
deep reinforcement learning
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Rupam Mahmood
University of Alberta Canada
reinforcement learning
real-time learning systems
continual learning
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