s-LIME: Reconciling Locality and Fidelity in Linear Explanations

s-LIME: Reconciling Locality and Fidelity in Linear Explanations

2 August 2022

Luis Galárraga

Vaishnavi Bhargava

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Papers citing "s-LIME: Reconciling Locality and Fidelity in Linear Explanations"

9 / 9 papers shown

Title
Which LIME should I trust? Concepts, Challenges, and Solutions Katharina Prasse Sascha Marton Udo Schlegel Christian Bartelt FAtt 152 3 0 31 Mar 2025
Axiomatic Explainer Globalness via Optimal Transport Davin Hill Josh Bone A. Masoomi Max Torop Jennifer Dy 350 2 0 13 Mar 2025
Developing Guidelines for Functionally-Grounded Evaluation of Explainable Artificial Intelligence using Tabular Data M. Velmurugan Chun Ouyang Yue Xu Prerna Agarwal B. Wickramanayake Catarina Moreira ELM LMTD XAI 88 1 0 30 Sep 2024
Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection Gwladys Kelodjou Laurence Rozé Véronique Masson Luis Galárraga Romaric Gaudel Maurice Tchuente Alexandre Termier FAtt 94 10 0 19 Dec 2023
SurvBeNIM: The Beran-Based Neural Importance Model for Explaining the Survival Models Lev V. Utkin Danila Eremenko A. Konstantinov 127 0 0 11 Dec 2023
"Honey, Tell Me What's Wrong", Global Explanation of Textual Discriminative Models through Cooperative Generation Antoine Chaffin Julien Delaunay 83 0 0 27 Oct 2023
Local Universal Explainer (LUX) -- a rule-based explainer with factual, counterfactual and visual explanations Szymon Bobek Grzegorz J. Nalepa 95 1 0 23 Oct 2023
SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator Lev V. Utkin Danila Eremenko A. Konstantinov 92 5 0 07 Aug 2023
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.6K 18,272 0 16 Feb 2016