Transparency Learning Professors in Global

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Carlo Ciliberto
University College London United Kingdom
statistical learning theory
multi-task learning
meta-learning
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Sascha Schneider
University of Zurich Switzerland
cognitive learning
social learning
meta-cognitive learning
motivational learning
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Stanley Lo
University of California, San Diego United States of America
student learning
learning progressions
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Peter Frazier
Cornell University Netherlands
preference learning
social learning
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Yichen Zhang
Purdue University United States of America
transfer learning
reinforcement learning
multi-task learning
distributed learning
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Enrique Del Castillo
Pennsylvania State University United States of America
statistical learning theory
manifold learning
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Zayba Ghazali-mohammed
University of Glasgow United Kingdom
technology-enhanced learning
multimodal learning
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Pascal Poupart
University of Waterloo Canada
self-supervised learning
continual learning
reinforcement learning
meta learning
causal learning
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Samory Kpotufe
Columbia University United States of America
transfer learning
multi-task learning
adaptive learning
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Marcelo Worsley
Northwestern University United States of America
collaborative learning environments
multimodal learning
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Jessica Lee
University of Sydney Australia
rule learning
associative learning
causal learning
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Julie Willems
Monash University Australia
technology-enhanced learning
online learning
flexible learning
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Lone Hersted
Aalborg University Denmark
learning processes
organizational learning
action learning
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Søren Frimann
Aalborg University Denmark
organizational learning
action learning
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Lia Fluit
Radboud University Netherlands
workplace learning
complex skills learning
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Haley Vlach
University of Wisconsin–Madison United States of America
concept learning
inductive learning
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Benedek Kurdi
University of Illinois United States of America
learning
reinforcement learning
causal learning
propositional learning
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Noreen Webb
University of California Los Angeles United States of America
mathematics learning
teaching and learning processes
science learning
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Raymond Mooney
University of Texas at Austin United States of America
transfer learning
ensemble learning
statistical relational learning
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Jonas Lindholm
Umeå University Sweden
flexible learning
learning support
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Kirsten Wilkins
Yale University United States of America
learning climate
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