The Inadequacy of Shapley Values for Explainability

16 February 2023

Papers citing "The Inadequacy of Shapley Values for Explainability"

9 / 9 papers shown

Title
Unifying Interpretability and Explainability for Alzheimer's Disease Progression Prediction Raja Farrukh Ali Stephanie Milani John Woods Emmanuel Adenij Ayesha Farooq Clayton Mansel Jeffrey Burns William Hsu 24 0 0 11 Jun 2024
Anytime Approximate Formal Feature Attribution Jinqiang Yu Graham Farr Alexey Ignatiev Peter James Stuckey 13 1 0 12 Dec 2023
Self-Reinforcement Attention Mechanism For Tabular Learning Kodjo Mawuena Amekoe M. Dilmi Hanene Azzag M. Lebbah Zaineb Chelly Dagdia Gregoire Jaffre 22 0 0 19 May 2023
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning R. Heese Thore Gerlach Sascha Mucke Sabine Muller Matthias Jakobs Nico Piatkowski 24 17 0 22 Jan 2023
Logic-Based Explainability in Machine Learning João Marques-Silva LRM XAI 31 39 0 24 Oct 2022
On Tackling Explanation Redundancy in Decision Trees Yacine Izza Alexey Ignatiev João Marques-Silva FAtt 48 56 0 20 May 2022
FastSHAP: Real-Time Shapley Value Estimation N. Jethani Mukund Sudarshan Ian Covert Su-In Lee Rajesh Ranganath TDI FAtt 59 122 0 15 Jul 2021
Towards Rigorous Interpretations: a Formalisation of Feature Attribution Darius Afchar Romain Hennequin Vincent Guigue FAtt 24 20 0 26 Apr 2021
Model Interpretability through the Lens of Computational Complexity Pablo Barceló Mikaël Monet Jorge A. Pérez Bernardo Subercaseaux 114 93 0 23 Oct 2020