Explaining Neural Networks Semantically and Quantitatively

18 December 2018

Papers citing "Explaining Neural Networks Semantically and Quantitatively"

8 / 8 papers shown

Title
Benchmarking the Attribution Quality of Vision Models Robin Hesse Simone Schaub-Meyer Stefan Roth FAtt 29 3 0 16 Jul 2024
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods Robin Hesse Simone Schaub-Meyer Stefan Roth AAML 32 32 0 11 Aug 2023
Aerial-Ground Person Re-ID Huy Nguyen Kien Nguyen S. Sridharan Clinton Fookes 25 14 0 15 Mar 2023
Understanding and Enhancing Robustness of Concept-based Models Sanchit Sinha Mengdi Huai Jianhui Sun Aidong Zhang AAML 23 18 0 29 Nov 2022
Attention-based Dynamic Subspace Learners for Medical Image Analysis V. SukeshAdiga Jose Dolz H. Lombaert 13 1 0 18 Jun 2022
Concept Embedding Analysis: A Review Gesina Schwalbe 19 28 0 25 Mar 2022
Deeply Explain CNN via Hierarchical Decomposition Mingg-Ming Cheng Peng-Tao Jiang Linghao Han Liang Wang Philip H. S. Torr FAtt 48 15 0 23 Jan 2022
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 21 184 0 15 May 2021