AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model Validation

12 September 2021

Papers citing "AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model Validation"

9 / 9 papers shown

Title
Visualizing Spatial Semantics of Dimensionally Reduced Text Embeddings Wei Liu Chris North Rebecca Faust 20 0 0 06 Sep 2024
TRIVEA: Transparent Ranking Interpretation using Visual Explanation of Black-Box Algorithmic Rankers Jun Yuan Kaustav Bhattacharjee A. Islam Aritra Dasgupta 20 2 0 28 Aug 2023
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research Hariharan Subramonyam Jessica Hullman VLM HAI 27 8 0 10 Aug 2023
Visual Analytics For Machine Learning: A Data Perspective Survey Junpeng Wang Shixia Liu Wei Zhang HAI 29 17 0 15 Jul 2023
Leveraging Contextual Counterfactuals Toward Belief Calibration Qiuyi Zhang Zhang Michael S. Lee Sherol Chen 29 1 0 13 Jul 2023
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse Zijie J. Wang J. W. Vaughan R. Caruana Duen Horng Chau HAI 18 21 0 27 Feb 2023
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 24 162 0 20 Oct 2020
ViCE: Visual Counterfactual Explanations for Machine Learning Models Oscar Gomez Steffen Holter Jun Yuan E. Bertini AAML 57 93 0 05 Mar 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,684 0 28 Feb 2017