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Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task


Oct 25, 2022
Kenneth Li, Aspen K. Hopkins, David Bau, Fernanda Viégas, Hanspeter Pfister, Martin Wattenberg

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* code: https://github.com/likenneth/othello_world 

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Toy Models of Superposition


Sep 21, 2022
Nelson Elhage, Tristan Hume, Catherine Olsson, Nicholas Schiefer, Tom Henighan, Shauna Kravec, Zac Hatfield-Dodds, Robert Lasenby, Dawn Drain, Carol Chen, Roger Grosse, Sam McCandlish, Jared Kaplan, Dario Amodei, Martin Wattenberg, Christopher Olah

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* Also available at https://transformer-circuits.pub/2022/toy_model/index.html 

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Interpreting a Machine Learning Model for Detecting Gravitational Waves


Feb 15, 2022
Mohammadtaher Safarzadeh, Asad Khan, E. A. Huerta, Martin Wattenberg

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* 19 pages, to be submitted, comments are welcome. Movies based on this work can be accessed via: https://www.youtube.com/watch?v=SXFGMOtJwn0 https://www.youtube.com/watch?v=itVCj9gpmAs 

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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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