CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models

23 April 2024

Papers citing "CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models"

5 / 5 papers shown

Title
Uncertainty Propagation in XAI: A Comparison of Analytical and Empirical Estimators Teodor Chiaburu Felix Bießmann Frank Haußer 21 0 0 01 Apr 2025
Confident Teacher, Confident Student? A Novel User Study Design for Investigating the Didactic Potential of Explanations and their Impact on Uncertainty Teodor Chiaburu Frank Haußer Felix Bießmann 20 0 0 10 Sep 2024
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans Giang Nguyen Valerie Chen Mohammad Reza Taesiri Anh Totti Nguyen 24 4 0 25 Aug 2023
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 58 114 0 06 Dec 2021
Interpretable Image Classification with Differentiable Prototypes Assignment Dawid Rymarczyk Lukasz Struski Michal Górszczak K. Lewandowska Jacek Tabor Bartosz Zieliñski 31 98 0 06 Dec 2021