Adaptive Machine Learning Professors in Global

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Yingzhen Li
Imperial College London United Kingdom
adaptive methods
machine learning
probabilistic machine learning
generative modeling
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Howard Schwartz
Carleton University Canada
adaptive learning systems
adaptive control
multi-robot learning adaptation
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Howard Schwartz
Carleton University Canada
adaptive learning systems
adaptive control
multi robot learning adaptation
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Audrey Durand
Laval University Canada
adaptive learning systems
adaptive agents
machine learning
statistical learning
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Hongyang Dong
University of Warwick United Kingdom
adaptive control
adaptive dynamic programming
machine learning
deep learning
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Girish Chowdhary
University of Illinois United States of America
adaptive control
machine learning
machine vision
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Naveed Akhtar
University of Western Australia Australia
machine learning
adversarial machine learning
deep learning
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
probabilistic machine learning
generative modeling
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Helene Thomsen
Aarhus University Denmark
machine learning
prediction modeling
deep learning
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Yee Teh
University of Oxford United Kingdom
machine learning
large scale machine learning
deep learning
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Benjamin Joffe
Georgia Institute of Technology United States of America
machine learning
deep learning
robot learning
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Nicholas Rhinehart
University of Toronto Canada
machine learning
imitation learning
deep learning
robot learning
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Kristen Grauman
University of Texas at Austin United States of America
machine learning
deep learning
interactive machine learning
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Yoshua Bengio
University of Montreal Canada
machine learning
deep learning
statistical learning algorithms
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Gerasimos Spanakis
Maastricht University Netherlands
machine learning
deep learning
computational modeling
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Eranga Ukwatta
University of Guelph Canada
machine learning
deep learning
computational modeling
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Geoff Webb
Monash University Australia
machine learning
scalable learning
interactive machine learning
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Aboelmagd Noureldin
Queen's University Canada
machine intelligence
deep learning
machine vision
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Krishna Balasubramanian
University of California, Davis United States of America
deep learning
statistical learning
generative modeling
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Anindya Das
Umeå University Sweden
adaptive deviation learning
machine learning
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Sreeraman Rajan
Carleton University Canada
adaptive signal processing
machine learning
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