Shapley Sets: Feature Attribution via Recursive Function Decomposition

Shapley Sets: Feature Attribution via Recursive Function Decomposition

4 July 2023

Papers citing "Shapley Sets: Feature Attribution via Recursive Function Decomposition"

10 / 10 papers shown

Title
Evaluating Feature Attribution Methods in the Image Domain Arne Gevaert Axel-Jan Rousseau Thijs Becker D. Valkenborg T. D. Bie Yvan Saeys FAtt 45 23 0 22 Feb 2022
groupShapley: Efficient prediction explanation with Shapley values for feature groups Martin Jullum Annabelle Redelmeier K. Aas TDI FAtt 42 22 0 23 Jun 2021
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models Tom Heskes E. Sijben I. G. Bucur Tom Claassen FAtt TDI 105 152 0 03 Nov 2020
Problems with Shapley-value-based explanations as feature importance measures Indra Elizabeth Kumar Suresh Venkatasubramanian C. Scheidegger Sorelle A. Friedler TDI FAtt 76 364 0 25 Feb 2020
Feature relevance quantification in explainable AI: A causal problem Dominik Janzing Lenon Minorics Patrick Blobaum FAtt CML 60 280 0 29 Oct 2019
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability Christopher Frye C. Rowat Ilya Feige 46 181 0 14 Oct 2019
The many Shapley values for model explanation Mukund Sundararajan A. Najmi TDI FAtt 58 632 0 22 Aug 2019
Unrestricted Permutation forces Extrapolation: Variable Importance Requires at least One More Model, or There Is No Free Variable Importance Giles Hooker L. Mentch Siyu Zhou 66 158 0 01 May 2019
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values K. Aas Martin Jullum Anders Løland FAtt TDI 55 620 0 25 Mar 2019
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,864 0 22 May 2017