LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision

23 May 2024

Papers citing "LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision"

6 / 6 papers shown

Title
Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach Yang Ji Ying Sun Hengshu Zhu 46 0 0 17 Mar 2025
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations S. Saralajew Ashish Rana T. Villmann Ammar Shaker OOD 77 1 0 20 Dec 2024
InfoDisent: Explainability of Image Classification Models by Information Disentanglement Łukasz Struski Dawid Rymarczyk Jacek Tabor 46 0 0 16 Sep 2024
ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction Dawid Rymarczyk D. Dobrowolski Tomasz Danel 22 3 0 07 Oct 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 58 112 0 06 Dec 2021
Interpretable Image Classification with Differentiable Prototypes Assignment Dawid Rymarczyk Lukasz Struski Michal Górszczak K. Lewandowska Jacek Tabor Bartosz Zieliñski 31 97 0 06 Dec 2021