Weight of Evidence as a Basis for Human-Oriented Explanations

Weight of Evidence as a Basis for Human-Oriented Explanations

29 October 2019

David Alvarez-Melis

Jennifer Wortman Vaughan

Hanna M. Wallach

Papers citing "Weight of Evidence as a Basis for Human-Oriented Explanations"

7 / 7 papers shown

Title
A General Search-based Framework for Generating Textual Counterfactual Explanations Daniel Gilo Shaul Markovitch LRM 34 0 0 01 Nov 2022
Mediators: Conversational Agents Explaining NLP Model Behavior Nils Feldhus A. Ravichandran Sebastian Möller 30 16 0 13 Jun 2022
Generating Explanations from Deep Reinforcement Learning Using Episodic Memory Sam Blakeman D. Mareschal 21 3 0 18 May 2022
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence Kacper Sokol Peter A. Flach 36 20 0 29 Dec 2021
Near-Optimal Explainable $k$ -Means for All Dimensions Moses Charikar Lunjia Hu 23 18 0 29 Jun 2021
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations Peter Hase Harry Xie Mohit Bansal OODD LRM FAtt 18 91 0 01 Jun 2021
A causal framework for explaining the predictions of black-box sequence-to-sequence models David Alvarez-Melis Tommi Jaakkola CML 227 201 0 06 Jul 2017