Model-Agnostic Explanations using Minimal Forcing Subsets

1 November 2020

Papers citing "Model-Agnostic Explanations using Minimal Forcing Subsets"

9 / 9 papers shown

Title
Efficient computation and analysis of distributional Shapley values Yongchan Kwon Manuel A. Rivas James Zou FAtt TDI 96 61 0 02 Jul 2020
Neuron Shapley: Discovering the Responsible Neurons Amirata Ghorbani James Zou FAtt TDI 45 110 0 23 Feb 2020
On the Accuracy of Influence Functions for Measuring Group Effects Pang Wei Koh Kai-Siang Ang H. Teo Percy Liang TDI 59 186 0 30 May 2019
Counterfactual Visual Explanations Yash Goyal Ziyan Wu Jan Ernst Dhruv Batra Devi Parikh Stefan Lee CML 58 510 0 16 Apr 2019
Explainable time series tweaking via irreversible and reversible temporal transformations Isak Karlsson J. Rebane P. Papapetrou Aristides Gionis AI4TS 18 29 0 13 Sep 2018
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 81 2,332 0 01 Nov 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 123 3,848 0 10 Apr 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 139 2,854 0 14 Mar 2017
Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers Alexander Binder G. Montavon Sebastian Lapuschkin K. Müller Wojciech Samek FAtt 54 456 0 04 Apr 2016