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Shared Interest: Large-Scale Visual Analysis of Model Behavior by Measuring Human-AI Alignment

Jul 20, 2021
Angie Boggust, Benjamin Hoover, Arvind Satyanarayan, Hendrik Strobelt

* 14 pages, 8 figures. For more details, see 

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Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs

Feb 17, 2021
Harini Suresh, Kathleen M. Lewis, John V. Guttag, Arvind Satyanarayan

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Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs

Jan 24, 2021
Harini Suresh, Steven R. Gomez, Kevin K. Nam, Arvind Satyanarayan

* In CHI Conference on Human Factors in Computing Systems (CHI '21) 

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Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples

Dec 10, 2019
Angie Boggust, Brandon Carter, Arvind Satyanarayan

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Sherlock: A Deep Learning Approach to Semantic Data Type Detection

May 25, 2019
Madelon Hulsebos, Kevin Hu, Michiel Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çağatay Demiralp, César Hidalgo

* KDD'19 

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VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository

May 12, 2019
Kevin Hu, Neil Gaikwad, Michiel Bakker, Madelon Hulsebos, Emanuel Zgraggen, César Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, Çağatay Demiralp

* CHI'19 

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