F
Fernanda B. Viégas
Researcher at Google
Publications - 78
Citations - 24591
Fernanda B. Viégas is an academic researcher from Google. The author has contributed to research in topics: Visualization & Data visualization. The author has an hindex of 43, co-authored 78 publications receiving 20745 citations. Previous affiliations of Fernanda B. Viégas include Massachusetts Institute of Technology & IBM.
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TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi,Ashish Agarwal,Paul Barham,Eugene Brevdo,Zhifeng Chen,Craig Citro,Greg S. Corrado,Andy Davis,Jeffrey Dean,Matthieu Devin,Sanjay Ghemawat,Ian Goodfellow,Andrew Harp,Geoffrey Irving,Michael Isard,Yangqing Jia,Rafal Jozefowicz,Lukasz Kaiser,Manjunath Kudlur,Josh Levenberg,Dan Mané,Rajat Monga,Sherry Moore,Derek G. Murray,Chris Olah,Mike Schuster,Jonathon Shlens,Benoit Steiner,Ilya Sutskever,Kunal Talwar,Paul A. Tucker,Vincent Vanhoucke,Vijay K. Vasudevan,Fernanda B. Viégas,Oriol Vinyals,Pete Warden,Martin Wattenberg,Martin Wicke,Yuan Yu,Xiaoqiang Zheng +39 more
TL;DR: The TensorFlow interface and an implementation of that interface that is built at Google are described, which has been used for conducting research and for deploying machine learning systems into production across more than a dozen areas of computer science and other fields.
Posted Content
SmoothGrad: removing noise by adding noise
TL;DR: SmoothGrad is introduced, a simple method that can help visually sharpen gradient-based sensitivity maps and lessons in the visualization of these maps are discussed.
Journal ArticleDOI
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
Melvin Johnson,Mike Schuster,Quoc V. Le,Maxim Krikun,Yonghui Wu,Zhifeng Chen,Nikhil Thorat,Fernanda B. Viégas,Martin Wattenberg,Greg S. Corrado,Macduff Hughes,Jeffrey Dean +11 more
TL;DR: This work proposes a simple solution to use a single Neural Machine Translation (NMT) model to translate between multiple languages using a shared wordpiece vocabulary, and introduces an artificial token at the beginning of the input sentence to specify the required target language.
Posted Content
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
Melvin Johnson,Mike Schuster,Quoc V. Le,Maxim Krikun,Yonghui Wu,Zhifeng Chen,Nikhil Thorat,Fernanda B. Viégas,Martin Wattenberg,Greg S. Corrado,Macduff Hughes,Jeffrey Dean +11 more
TL;DR: The authors propose to add an artificial token at the beginning of the input sentence to specify the required target language, which improves the translation quality of all involved language pairs, even while keeping the total number of model parameters constant.
Proceedings ArticleDOI
Studying cooperation and conflict between authors with history flow visualizations
TL;DR: This paper investigates the dynamics of Wikipedia, a prominent, thriving wiki, and focuses on the relevance of authorship, the value of community surveillance in ameliorating antisocial behavior, and how authors with competing perspectives negotiate their differences.