Search Results for author: Fernanda Viegas

Found 3 papers, 3 papers with code

The What-If Tool: Interactive Probing of Machine Learning Models

1 code implementation • 9 Jul 2019 • James Wexler, Mahima Pushkarna, Tolga Bolukbasi, Martin Wattenberg, Fernanda Viegas, Jimbo Wilson

A key challenge in developing and deploying Machine Learning (ML) systems is understanding their performance across a wide range of inputs.

BIG-bench Machine Learning Fairness

808

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Code

Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)

10 code implementations • ICML 2018 • Been Kim, Martin Wattenberg, Justin Gilmer, Carrie Cai, James Wexler, Fernanda Viegas, Rory Sayres

The interpretation of deep learning models is a challenge due to their size, complexity, and often opaque internal state.

General Classification Image Classification

3,973

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Code

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

4 code implementations • 14 Mar 2016 • 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 Mane, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viegas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng

TensorFlow is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms.

BIG-bench Machine Learning Dimensionality Reduction +3

175,310

Paper
Code

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