Multimodal Deep Learning Professors in Global

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Yarin Gal
University of Oxford United Kingdom
deep reinforcement learning
deep probabilistic ai
bayesian deep learning
machine learning
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Michael Ingrisch
Ludwig Maximilian University of Munich Germany
multimodal learning
deep learning
machine learning
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Adam Shephard
University of Warwick United Kingdom
multi-modal learning
deep learning
machine learning
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Amir Michalovich
University of Manitoba Canada
multimodal qualitative data analysis
digital multimodal composing
digital multimodal literacies
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Samuel Ajila
Carleton University Canada
multi-modal learning applications
deep learning
machine learning
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Linus Ericsson
University of Glasgow United Kingdom
multi-modal learning
machine learning
automated machine learning
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Ali Bakhshi
University of New South Wales Australia
multimodal emotion recognition
deep neural networks
machine learning
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Vatsa Patel
Penn State Harrisburg United States of America
multimodal systems
applied deep learning
machine learning
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Nina Nørgaard
University of Southern Denmark Denmark
multimodal stylistics
multimodality
multimodal critical discourse analysis
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Zhaolin Chen
Monash University Australia
multimodal imaging data analysis
machine learning
deep learning-based medical imaging
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Kin-choong Yow
University of Regina Canada
deep learning
deep reinforcement learning
machine learning
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Christopher Manning
Stanford University United States of America
deep learning
multilingual language processing
machine learning
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Alessio Gagliardi
Technical University of Munich Germany
deep learning
multiscale modeling
machine learning
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Natasha Jaques
University of Washington United States of America
deep learning
multi-agent learning
machine learning
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Honglak Lee
University of Michigan United States of America
deep learning
large-scale learning
machine learning
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Teja Kattenborn
University of Freiburg Germany
deep learning
machine learning
multi-temporal remote sensing
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Yee Teh
University of Oxford United Kingdom
deep learning
machine learning
large scale machine learning
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Ekta Vats
Uppsala University Sweden
deep learning
machine learning
multispectral imaging
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Krishna Swamy
Yale University United States of America
deep learning
geometric deep learning
machine learning
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Jingmin Huang
University of Southampton United Kingdom
deep learning
machine learning
deep generative models
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Abhishek Gupta
University of Washington United States of America
multi-task learning
deep reinforcement learning
machine learning
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