Human Aligned Representation Learning Professors in Global

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Yuhong Guo
Carleton University Canada
representation learning
machine learning
reinforcement learning
natural language processing
self-supervised learning
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Yuhong Guo
Carleton University Canada
representation learning
machine learning
reinforcement learning
natural language processing
self-supervised learning
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Linus Ericsson
University of Glasgow United Kingdom
representation learning
automated machine learning
machine learning
multi-modal learning
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Giorgia Ramponi
University of Zurich Switzerland
imitation learning
machine learning
multi-agent learning
reinforcement learning
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Yaoliang Yu
University of Waterloo Canada
representation learning
machine learning
natural language processing
distributed learning
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Arman Cohan
Yale University United States of America
representation learning
machine learning
language modeling
natural language processing
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Nicholas Rhinehart
University of Toronto Canada
imitation learning
robot learning
machine learning
reinforcement learning
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Giorgia Ramponi
University of Zurich Switzerland
machine learning
mathematical modeling
multi-agent learning
reinforcement learning
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Pascal Poupart
University of Waterloo Canada
machine learning
reinforcement learning
natural language processing
self-supervised learning
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C. Green
University of Wisconsin–Madison United States of America
human learning
motor learning
perceptual learning
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Dhruv Shah
Princeton University United States of America
representation learning
machine learning
reinforcement learning
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
representation learning
machine learning
statistical machine learning
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Jason Lee
University of California, Berkeley United States of America
representation learning
machine learning
reinforcement learning
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Jason Lee
University of California, Berkeley United States of America
representation learning
machine learning
reinforcement learning
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Guilherme Dinis Chaliane Junior
Stockholm University Sweden
representation learning
machine learning
reinforcement learning
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Ivan Vulic
University of Cambridge United Kingdom
representation learning
machine learning
natural language processing
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Ivan Vulic
University of Cambridge United Kingdom
representation learning
machine learning
natural language processing
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V. Saxena
Maastricht University Netherlands
multimodal representational learning
machine learning
natural language processing
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Tian Liang
University of Manchester United Kingdom
representation learning
machine learning
natural language processing
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Yinbei Li
Singapore Institute of Technology Singapore
imitation learning
robot learning
reinforcement learning
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Zachary Lipton
Carnegie Mellon University United States of America
representation learning
machine learning
natural language processing
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