Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI

Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI

16 March 2020

Papers citing "Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI"

15 / 15 papers shown

Title
Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Mahdi Dhaini Ege Erdogan Nils Feldhus Gjergji Kasneci 21 0 0 02 May 2025
ODExAI: A Comprehensive Object Detection Explainable AI Evaluation Loc Phuc Truong Nguyen Hung Truong Thanh Nguyen Hung Cao 56 0 0 27 Apr 2025
A Unified Framework with Novel Metrics for Evaluating the Effectiveness of XAI Techniques in LLMs Melkamu Mersha Mesay Gemeda Yigezu Hassan Shakil Ali Al shami SangHyun Byun Jugal Kalita 45 0 0 06 Mar 2025
Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models Melkamu Mersha Mesay Gemeda Yigezu Jugal Kalita ELM 39 3 0 26 Jan 2025
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics Lukas Klein Carsten T. Lüth U. Schlegel Till J. Bungert Mennatallah El-Assady Paul F. Jäger XAI ELM 20 1 0 03 Jan 2025
Beyond Accuracy: On the Effects of Fine-tuning Towards Vision-Language Model's Prediction Rationality Qitong Wang Tang Li Kien X. Nguyen Xi Peng 67 0 0 17 Dec 2024
Explainable AI needs formal notions of explanation correctness Stefan Haufe Rick Wilming Benedict Clark Rustam Zhumagambetov Danny Panknin Ahcène Boubekki XAI 11 0 0 22 Sep 2024
Aligning Knowledge Graphs Provided by Humans and Generated from Neural Networks in Specific Tasks Tangrui Li Jun Zhou 22 0 0 23 Apr 2024
Sparse Explanations of Neural Networks Using Pruned Layer-Wise Relevance Propagation Paulo Yanez Sarmiento Simon Witzke Nadja Klein Bernhard Y. Renard FAtt AAML 25 0 0 22 Apr 2024
Identifying Drivers of Predictive Aleatoric Uncertainty Pascal Iversen Simon Witzke Katharina Baum Bernhard Y. Renard UD 32 1 0 12 Dec 2023
Towards the Characterization of Representations Learned via Capsule-based Network Architectures Saja AL-Tawalbeh José Oramas 15 1 0 09 May 2023
KANDINSKYPatterns -- An experimental exploration environment for Pattern Analysis and Machine Intelligence Andreas Holzinger Anna Saranti Heimo Mueller 22 10 0 28 Feb 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 21 168 0 13 Jan 2021
Modern Hopfield Networks and Attention for Immune Repertoire Classification Michael Widrich Bernhard Schafl Hubert Ramsauer Milena Pavlović Lukas Gruber ... Johannes Brandstetter G. K. Sandve Victor Greiff Sepp Hochreiter G. Klambauer 166 117 0 16 Jul 2020
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 225 2,231 0 24 Jun 2017