Machine Unlearning Professors in Global

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Pieter Abbeel
University of California, Berkeley United States of America
unsupervised learning
meta-learning
imitation learning
deep learning
reinforcement learning
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Nicholas Rhinehart
University of Toronto Canada
machine learning
robot learning
imitation learning
deep learning
reinforcement learning
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Yuhong Guo
Carleton University Canada
unsupervised learning
machine learning
reinforcement learning
self-supervised learning
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Yuhong Guo
Carleton University Canada
unsupervised learning
machine learning
reinforcement learning
self-supervised learning
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Florian Shkurti
University of Toronto Canada
machine learning
imitation learning
inverse reinforcement learning
reinforcement learning
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Vinay Gogineni
University of Southern Denmark Denmark
machine learning
meta learning
quantum machine learning
self-supervised learning
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Kristen Grauman
University of Texas at Austin United States of America
machine learning
machine perception
deep learning
interactive machine learning
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Pascal Poupart
University of Waterloo Canada
machine learning
meta learning
reinforcement learning
self-supervised learning
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Maryam Fazel
University of Washington United States of America
machine learning
deep learning
reinforcement learning
learning control
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Louis Ohl
Linköping University Sweden
unsupervised learning
machine learning
positive unlabeled learning
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Francisco Pena Escobar
Royal Institute of Technology Sweden
unsupervised learning
machine learning
self-supervised learning
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Francisco Pena Escobar
KTH Royal Institute of Technology Sweden
unsupervised learning
machine learning
self-supervised learning
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Mikhail Khodak
University of Wisconsin–Madison United States of America
machine learning
automated machine learning
meta-learning
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C. Green
University of Wisconsin–Madison United States of America
human learning
motor learning
cognitive learning
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Benjamin Joffe
Georgia Institute of Technology United States of America
machine learning
robot learning
deep learning
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Lerrel Pinto
New York University United States of America
machine learning
robot learning
reinforcement learning
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Ferenc Huszár
University of Cambridge United Kingdom
machine learning
meta-learning
deep learning
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Chelsea Finn
Stanford University United States of America
machine learning
meta-learning
reinforcement learning
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Joseph Thekinen
University of Calgary Canada
machine learning
meta learning
reinforcement learning
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Matthew Howard
King's College London United Kingdom
machine learning
imitation learning
reinforcement learning
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Giorgia Ramponi
University of Zurich Switzerland
machine learning
imitation learning
reinforcement learning
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