Perceptual Category Learning Professors in Global

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Yuhong Guo
Carleton University Canada
representation learning
computer vision
reinforcement learning
machine learning
continual learning
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Yuhong Guo
Carleton University Canada
representation learning
computer vision
reinforcement learning
machine learning
continual learning
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C. Green
University of Wisconsin–Madison United States of America
perceptual learning
cognitive learning
human learning
motor learning
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James Cockett
University of Calgary Canada
categorical programming
linearly distributive categories
differential categories
distributive categories
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Zhou Wang
University of Waterloo Canada
pattern recognition
computational vision
visual perception
machine learning
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Du Huynh
University of Western Australia Australia
pattern recognition
object detection
computer vision
machine learning
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Guilherme Dinis Chaliane Junior
Stockholm University Sweden
representation learning
sequential decision making
reinforcement learning
machine learning
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Ke Chen
University of Manchester United Kingdom
pattern recognition
machine perception
computer vision
machine learning
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Kristen Grauman
University of Texas at Austin United States of America
visual recognition
machine perception
computer vision
machine learning
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Yaoliang Yu
University of Waterloo Canada
representation learning
generative modelling
computer vision
machine learning
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Pascal Poupart
University of Waterloo Canada
causal learning
reinforcement learning
machine learning
continual learning
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Mengye Ren
New York University United States of America
representation learning
computer vision
machine learning
continual learning
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Hossein Hassani
Toronto Metropolitan University Canada
computer vision
vision language models
reinforcement learning
machine learning
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V. Saxena
Maastricht University Netherlands
multimodal representational learning
computer vision
machine learning
classification
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Allison Sekuler
McMaster University Canada
perceptual learning
perceptual organization
object recognition
visual perception
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Ivan Di Liberti
University of Gothenburg Sweden
category theory
formal category theory
categorical logic
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Pawan Sinha
Massachusetts Institute of Technology United States of America
computational vision
object recognition
visual cognition
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Pascal Vincent
University of Montreal Canada
representation learning
pattern recognition
machine learning
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Guillermo Sapiro
Duke University Singapore
computational vision
dictionary learning
computer vision
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Tomaso Poggio
Massachusetts Institute of Technology United States of America
visual recognition
learning theory
computer vision
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Elliot Creager
University of Waterloo Canada
representation learning
sequential decision making
machine learning
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