Towards a Unified Framework for Evaluating Explanations

22 May 2024

Papers citing "Towards a Unified Framework for Evaluating Explanations"

8 / 8 papers shown

Title
A constraints-based approach to fully interpretable neural networks for detecting learner behaviors Juan D. Pinto Luc Paquette 85 0 0 10 Apr 2025
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs Harini Suresh Steven R. Gomez K. Nam Arvind Satyanarayan 72 131 0 24 Jan 2021
On quantitative aspects of model interpretability An-phi Nguyen María Rodríguez Martínez 43 114 0 15 Jul 2020
Questioning the AI: Informing Design Practices for Explainable AI User Experiences Q. V. Liao D. Gruen Sarah Miller 117 715 0 08 Jan 2020
Towards Robust Interpretability with Self-Explaining Neural Networks David Alvarez-Melis Tommi Jaakkola MILM XAI 122 940 0 20 Jun 2018
The Challenge of Crafting Intelligible Intelligence Daniel S. Weld Gagan Bansal 46 244 0 09 Mar 2018
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.0K 21,815 0 22 May 2017
"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