Complex Adaptive Learning Professors in Global

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Yuhong Guo
Carleton University Canada
continual learning
active learning
representation learning
self-supervised learning
weakly supervised learning
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Yuhong Guo
Carleton University Canada
continual learning
active learning
representation learning
self-supervised learning
weakly supervised learning
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Terri Lee
University of Southern California United States of America
integrative learning
virtual learning
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Leanne Dowse
University of New South Wales Australia
complex behaviour support
complex needs
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Ana Estrada Gomez
Purdue University United States of America
adaptive sampling
complex systems
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Jennifer Howell
University of Western Australia Australia
augmented learning
virtual learning
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Mehrdad Mahdavi
Pennsylvania State University United States of America
high-dimensional learning
statistical computational learning theory
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Amber Walraven
Radboud University Netherlands
adaptive expertise
adaptive capacity
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Honglak Lee
University of Michigan United States of America
representation learning
large-scale learning
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Peter Mcmahon
Cornell University Netherlands
complex systems
statistical learning
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Sarthak Yadav
Aalborg University Denmark
representation learning
self-supervised learning
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Randall Balestriero
Brown University United States of America
representation learning
self-supervised learning
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Muhammad Hafez
University of Southampton United Kingdom
continual robot learning
robot learning
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Yuri Boykov
University of Waterloo Canada
self-supervised learning
weakly supervised learning
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Pratheepa Jeganathan
McMaster University Canada
statistical learning
multi-view learning
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Emily Coffey
Concordia University Canada
complex task learning
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Joydeep Ghosh
University of Texas at Austin United States of America
adaptive multi-learner systems
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Marios Polycarpou
Imperial College London United Kingdom
adaptive learning control systems
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Kate Saenko
Boston University United States of America
adaptive machine learning
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Aleks Rebeka
Georgia Institute of Technology United States of America
learning in complex environments
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Peter Meaney
Stanford University United States of America
adaptive e-learning
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