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Picture for James Wexler

Best of both worlds: local and global explanations with human-understandable concepts


Jun 16, 2021
Jessica Schrouff, Sebastien Baur, Shaobo Hou, Diana Mincu, Eric Loreaux, Ralph Blanes, James Wexler, Alan Karthikesalingam, Been Kim


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The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models


Aug 12, 2020
Ian Tenney, James Wexler, Jasmijn Bastings, Tolga Bolukbasi, Andy Coenen, Sebastian Gehrmann, Ellen Jiang, Mahima Pushkarna, Carey Radebaugh, Emily Reif, Ann Yuan


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The Bach Doodle: Approachable music composition with machine learning at scale


Jul 14, 2019
Cheng-Zhi Anna Huang, Curtis Hawthorne, Adam Roberts, Monica Dinculescu, James Wexler, Leon Hong, Jacob Howcroft

* Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR 2019 

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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

* 10 pages, 6 figures, 2 tables. To be presented at IEEE VAST 2019 

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Automating Interpretability: Discovering and Testing Visual Concepts Learned by Neural Networks


Feb 07, 2019
Amirata Ghorbani, James Wexler, Been Kim


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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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Scalable and accurate deep learning for electronic health records


May 11, 2018
Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Peter J. Liu, Xiaobing Liu, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Gavin E. Duggan, Gerardo Flores, Michaela Hardt, Jamie Irvine, Quoc Le, Kurt Litsch, Jake Marcus, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H. Shah, Atul J. Butte, Michael Howell, Claire Cui, Greg Corrado, Jeff Dean

* npj Digital Medicine 1:18 (2018) 
* Published version from https://www.nature.com/articles/s41746-018-0029-1 

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