Weakly Supervised Semantic Segmentation Professors in Global

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Yuri Boykov
University of Waterloo Canada
weakly supervised learning
semi-supervised learning
image segmentation
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Yuhong Guo
Carleton University Canada
weakly supervised learning
semi-supervised learning
natural language processing
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Yuhong Guo
Carleton University Canada
weakly supervised learning
semi-supervised learning
natural language processing
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Language Technology Group
University of Hamburg Germany
semantic indexing
statistical semantics
natural language processing
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Zoltán Szabó
London School of Economics and Political Science United Kingdom
shape-constrained prediction
statistical machine learning
natural language processing
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Olga Veksler
University of Waterloo Canada
semantic segmentation
image segmentation
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Stacey Rimikis
New York University United States of America
semantic processing
lexical retrieval
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Marco Kuhlmann
Linköping University Sweden
semantic parsing
natural language processing
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Jonathan May
University of Southern California United States of America
semantic parsing
natural language processing
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Raymond Mooney
University of Texas at Austin United States of America
semi-supervised learning
natural language processing
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Nanyun Peng
University of California Los Angeles United States of America
low-resource information extraction
natural language processing
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Rayhaneh Akhavan
University of Michigan United States of America
reduced-order modeling
pseudo-spectral stochastic methods
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Stephen Bach
Brown University United States of America
statistical machine learning
weak supervision
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Mi Park
University of British Columbia Canada
statistical machine learning
theoretical machine learning
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Danica Sutherland
University of British Columbia Canada
statistical machine learning
theoretical machine learning
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Pranav Bapat
Maastricht University Netherlands
semantic search
natural language processing
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Faegheh Hasibi
Radboud University Netherlands
semantic search
natural language processing
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Christian Onof
Imperial College London United Kingdom
statistical machine learning
stochastic modeling
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Prashant Singh
Uppsala University Sweden
constrained multi-objective optimization
sequential sampling
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William Massey
Princeton University United States of America
stochastic analysis
stochastic networks
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Kavita Ramanan
Brown University United States of America
stochastic analysis
stochastic networks
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