MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation

31 May 2022

Papers citing "MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation"

10 / 10 papers shown

Title
Flexible Counterfactual Explanations with Generative Models Stig Hellemans Andres Algaba Sam Verboven Vincent Ginis 29 0 0 24 Feb 2025
Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI Assistant Gaole He Nilay Aishwarya U. Gadiraju 38 6 0 29 Jan 2025
EndToEndML: An Open-Source End-to-End Pipeline for Machine Learning Applications N. Pillai A. Das M. Ayoola Ganga Gireesan B. Nanduri Mahalingam Ramkumar SyDa 41 2 0 27 Mar 2024
What is different between these datasets? Varun Babbar Zhicheng Guo Cynthia Rudin 59 1 0 08 Mar 2024
Navigating the Structured What-If Spaces: Counterfactual Generation via Structured Diffusion Nishtha Madaan Srikanta J. Bedathur DiffM 38 0 0 21 Dec 2023
What's meant by explainable model: A Scoping Review Mallika Mainali Rosina O. Weber XAI 29 0 0 18 Jul 2023
On Minimizing the Impact of Dataset Shifts on Actionable Explanations Anna P. Meyer Dan Ley Suraj Srinivas Himabindu Lakkaraju FAtt 34 6 0 11 Jun 2023
Achieving Diversity in Counterfactual Explanations: a Review and Discussion Thibault Laugel Adulam Jeyasothy Marie-Jeanne Lesot Christophe Marsala Marcin Detyniecki CML 23 9 0 10 May 2023
OmniXAI: A Library for Explainable AI Wenzhuo Yang Hung Le Tanmay Laud Silvio Savarese S. Hoi SyDa 29 39 0 01 Jun 2022
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017