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Neural Network Interpretability
Neural Network Interpretability Professors in Global
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Professor
Ludmila Stern
University of New South Wales
Australia
interpreted communication
legal interpreting
interpreting studies
courtroom interpreting
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Professor
Fei Wang
Cornell University
Netherlands
model interpretability
explainability
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Professor
Matthias Wilms
University of Michigan
United States of America
interpretability
explainability
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Professor
Xin Tang
University of British Columbia
Canada
ai interpretability
ai explainability
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Professor
Michael Guerzhoy
University of Toronto
Canada
mechanistic interpretability
interpretable machine learning
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Professor
Fei Wang
Cornell University
Netherlands
model interpretability
explainability
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Professor
Shai Ben-david
University of Waterloo
Canada
interpretability in machine learning
reliability in machine learning
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Professor
Yan Leng
University of Texas at Austin
United States of America
interpretable machine learning
human-centric interpretability
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Professor
Amir Rahnama
KTH Royal Institute of Technology
Sweden
interpretable machine learning
explainable machine learning
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Professor
Zihuai University
Stanford University
United States of America
interpretable machine learning
explainable machine learning
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Professor
Kerstin Bunte
University of Groningen
Netherlands
interpretable models
explainable ai
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Professor
Christopher Manning
Stanford University
United States of America
neural machine translation
natural language understanding
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Professor
Helle Dam
Aarhus University
Denmark
interpretation theory
consecutive interpreting
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Professor
Ehsan Mobaraki
Aalborg University
Denmark
explainability
explainable artificial intelligence
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Professor
Lawrence Staib
Yale University
United States of America
image interpretation
neural networks
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Professor
Chris Eliasmith
University of Waterloo
Canada
neural computing
neural networks
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Professor
Tanya Titchkosky
University of Toronto
Canada
interpretive sociology
interpretive methods
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Professor
Tim Stowell
University of California Los Angeles
United States of America
semantic interpretation
temporal interpretation
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Professor
Andre Freitas
University of Manchester
United Kingdom
natural language inference
explainable ai
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Professor
Luke Miller
Radboud University
Netherlands
neural computations
neural network modeling
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Professor
Sandra Hale
University of New South Wales
Australia
court interpreting
legal interpreting
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