Multi Task Learning Professors in Global

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Yuhong Guo
Carleton University Canada
self-supervised learning
reinforcement learning
semi-supervised learning
active learning
machine learning
representation learning
continual learning
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Yuhong Guo
Carleton University Canada
self-supervised learning
reinforcement learning
semi-supervised learning
active learning
machine learning
representation learning
continual learning
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Manuel Lopez-ibanez
University of Manchester United Kingdom
multi-objective optimisation
multi-criteria decision making
machine learning
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George Pappas
University of Pennsylvania United States of America
learning control systems
multi-robot systems
machine learning
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Raymond Mooney
University of Texas at Austin United States of America
semi-supervised learning
active learning
machine learning
ensemble learning
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
multimodal processing
machine learning
representation learning
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Linus Ericsson
University of Glasgow United Kingdom
multi-modal learning
automated machine learning
machine learning
representation learning
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Yaoliang Yu
University of Waterloo Canada
distributed learning
machine learning
representation learning
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Mengye Ren
New York University United States of America
machine learning
representation learning
continual learning
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Raymond Mooney
University of Texas at Austin United States of America
natural language learning
active learning
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Arkasama Bandyopadhyay
Texas A&M University United States of America
project-based learning
active learning
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Shaofan Li
University of California, Berkeley United States of America
multiscale simulation
machine learning
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Wolfgang Hönig
Technical University of Berlin Germany
multi-robot coordination
machine learning
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Arjen Wals
Wageningen University Netherlands
transformative learning
social learning
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Jörgen From
Umeå University Sweden
hybrid learning
field learning
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Stephen Muggleton
Imperial College London United Kingdom
natural language learning
machine learning
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Alberto Santi
Technical University of Denmark Denmark
multi-scale simulation
multiphysics
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Nathaly Verwaal
University of Calgary Canada
team-based learning
active learning
self-directed learning
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Edwin Simpson
University of Bristol United Kingdom
interactive learning
machine learning
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Natasha Jaques
University of Washington United States of America
multi-agent learning
social reinforcement learning
machine learning
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Wolfgang Wall
Technical University of Munich Germany
multi-field problems
machine learning
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