A Survey of Explainable AI in Deep Visual Modeling: Methods and Metrics

31 January 2023

Papers citing "A Survey of Explainable AI in Deep Visual Modeling: Methods and Metrics"

5 / 5 papers shown

Title
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector Xianren Zhang Dongwon Lee Suhang Wang VLM FAtt 50 3 0 27 Jul 2024
Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement Avani Gupta Saurabh Saini P. J. Narayanan 28 6 0 26 Nov 2023
What You See is What You Classify: Black Box Attributions Steven Stalder Nathanael Perraudin R. Achanta Fernando Perez-Cruz Michele Volpi FAtt 32 9 0 23 May 2022
Framework for Evaluating Faithfulness of Local Explanations S. Dasgupta Nave Frost Michal Moshkovitz FAtt 113 61 0 01 Feb 2022
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017