Natural Example-Based Explainability: a Survey

Natural Example-Based Explainability: a Survey

5 September 2023

Papers citing "Natural Example-Based Explainability: a Survey"

9 / 9 papers shown

Title
Obtaining Example-Based Explanations from Deep Neural Networks Genghua Dong Henrik Bostrom Michalis Vazirgiannis Roman Bresson TDI FAtt XAI 93 0 0 27 Feb 2025
Aligning XAI with EU Regulations for Smart Biomedical Devices: A Methodology for Compliance Analysis Francesco Sovrano Michaël Lognoul Giulia Vilone 16 1 0 27 Aug 2024
Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals Gregory Yampolsky Dhruv Desai Mingshu Li Stefano Pasquali Dhagash Mehta 24 4 0 13 Aug 2024
This Probably Looks Exactly Like That: An Invertible Prototypical Network Zachariah Carmichael Timothy Redgrave Daniel Gonzalez Cedre Walter J. Scheirer BDL 27 2 0 16 Jul 2024
Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides? Saugat Aryal Mark T. Keane 23 4 0 01 Mar 2024
DualView: Data Attribution from the Dual Perspective Galip Umit Yolcu Thomas Wiegand Wojciech Samek Sebastian Lapuschkin TDI FAtt 16 0 0 19 Feb 2024
Concept-based Explainable Artificial Intelligence: A Survey Eleonora Poeta Gabriele Ciravegna Eliana Pastor Tania Cerquitelli Elena Baralis LRM XAI 19 41 0 20 Dec 2023
Understanding Influence Functions and Datamodels via Harmonic Analysis Nikunj Saunshi Arushi Gupta M. Braverman Sanjeev Arora TDI 52 17 0 03 Oct 2022
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis Thomas Fel Rémi Cadène Mathieu Chalvidal Matthieu Cord David Vigouroux Thomas Serre MLAU FAtt AAML 112 57 0 07 Nov 2021