Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI

27 January 2023

Papers citing "Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI"

17 / 17 papers shown

Title
Interpreting Language Reward Models via Contrastive Explanations Junqi Jiang Tom Bewley Saumitra Mishra Freddy Lecue Manuela Veloso 131 2 0 25 Nov 2024
This changes to that : Combining causal and non-causal explanations to generate disease progression in capsule endoscopy Anuja Vats A. Mohammed Marius Pedersen Nirmalie Wiratunga MedIm 41 9 0 05 Dec 2022
Identifying Spurious Correlations and Correcting them with an Explanation-based Learning Misgina Tsighe Hagos Kathleen M. Curran Brian Mac Namee 53 10 0 15 Nov 2022
Alterfactual Explanations -- The Relevance of Irrelevance for Explaining AI Systems Silvan Mertes Christina Karle Tobias Huber Katharina Weitz Ruben Schlagowski Elisabeth André 52 12 0 19 Jul 2022
"Even if ..." -- Diverse Semifactual Explanations of Reject André Artelt Barbara Hammer 43 12 0 05 Jul 2022
Generating Contrastive Explanations for Inductive Logic Programming Based on a Near Miss Approach Johannes Rabold M. Siebers Ute Schmid 43 14 0 15 Jun 2021
Argumentative XAI: A Survey Kristijonas vCyras Antonio Rago Emanuele Albini P. Baroni Francesca Toni 52 144 0 24 May 2021
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning Eoin M. Kenny Mark T. Keane 54 101 0 10 Sep 2020
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 260 5,797 0 03 Dec 2019
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations Thibault Laugel Marie-Jeanne Lesot Christophe Marsala X. Renard Marcin Detyniecki 48 198 0 22 Jul 2019
Leveraging Latent Features for Local Explanations Ronny Luss Pin-Yu Chen Amit Dhurandhar P. Sattigeri Yunfeng Zhang Karthikeyan Shanmugam Chun-Chen Tu FAtt 84 38 0 29 May 2019
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives Amit Dhurandhar Pin-Yu Chen Ronny Luss Chun-Chen Tu Pai-Shun Ting Karthikeyan Shanmugam Payel Das FAtt 107 589 0 21 Feb 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 122 3,938 0 06 Feb 2018
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 98 2,348 0 01 Nov 2017
Explanation in Artificial Intelligence: Insights from the Social Sciences Tim Miller XAI 236 4,249 0 22 Jun 2017
European Union regulations on algorithmic decision-making and a "right to explanation" B. Goodman Seth Flaxman FaML AILaw 63 1,897 0 28 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.1K 16,931 0 16 Feb 2016