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Martin Wattenberg

An Interpretability Illusion for BERT


Apr 14, 2021
Tolga Bolukbasi, Adam Pearce, Ann Yuan, Andy Coenen, Emily Reif, Fernanda Viégas, Martin Wattenberg

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


Jul 09, 2019
James Wexler, Mahima Pushkarna, Tolga Bolukbasi, Martin Wattenberg, Fernanda Viegas, Jimbo Wilson

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* 10 pages, 6 figures, 2 tables. To be presented at IEEE VAST 2019 
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Visualizing and Measuring the Geometry of BERT


Jun 06, 2019
Andy Coenen, Emily Reif, Ann Yuan, Been Kim, Adam Pearce, Fernanda Viégas, Martin Wattenberg

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* 8 pages, 5 figures 
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Do Neural Networks Show Gestalt Phenomena? An Exploration of the Law of Closure


Mar 21, 2019
Been Kim, Emily Reif, Martin Wattenberg, Samy Bengio

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TensorFlow.js: Machine Learning for the Web and Beyond


Jan 16, 2019
Daniel Smilkov, Nikhil Thorat, Yannick Assogba, Ann Yuan, Nick Kreeger, Ping Yu, Kangyi Zhang, Shanqing Cai, Eric Nielsen, David Soergel, Stan Bileschi, Michael Terry, Charles Nicholson, Sandeep N. Gupta, Sarah Sirajuddin, D. Sculley, Rajat Monga, Greg Corrado, Fernanda B. Viegas, Martin Wattenberg

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* 10 pages 
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Adversarial Spheres


Sep 10, 2018
Justin Gilmer, Luke Metz, Fartash Faghri, Samuel S. Schoenholz, Maithra Raghu, Martin Wattenberg, Ian Goodfellow

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GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation


Sep 05, 2018
Minsuk Kahng, Nikhil Thorat, Duen Horng Chau, Fernanda Viégas, Martin Wattenberg

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* This paper will be published in the IEEE Transactions on Visualization and Computer Graphics, 25(1), January 2019, and presented at IEEE VAST 2018 
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Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)


Jun 07, 2018
Been Kim, Martin Wattenberg, Justin Gilmer, Carrie Cai, James Wexler, Fernanda Viegas, Rory Sayres

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Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation


Aug 21, 2017
Melvin Johnson, Mike Schuster, Quoc V. Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda Viégas, Martin Wattenberg, Greg Corrado, Macduff Hughes, Jeffrey Dean


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Direct-Manipulation Visualization of Deep Networks


Aug 12, 2017
Daniel Smilkov, Shan Carter, D. Sculley, Fernanda B. Viégas, Martin Wattenberg

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SmoothGrad: removing noise by adding noise


Jun 12, 2017
Daniel Smilkov, Nikhil Thorat, Been Kim, Fernanda Viégas, Martin Wattenberg

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* 10 pages 
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Embedding Projector: Interactive Visualization and Interpretation of Embeddings


Nov 16, 2016
Daniel Smilkov, Nikhil Thorat, Charles Nicholson, Emily Reif, Fernanda B. Viégas, Martin Wattenberg

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* Presented at NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems 
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TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems


Mar 16, 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

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* Version 2 updates only the metadata, to correct the formatting of Mart\'in Abadi's name 
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