PACE: Posthoc Architecture-Agnostic Concept Extractor for Explaining CNNs

31 August 2021

Papers citing "PACE: Posthoc Architecture-Agnostic Concept Extractor for Explaining CNNs"

14 / 14 papers shown

Title
Concept Extraction for Time Series with ECLAD-ts Antonia Holzapfel Andres Felipe Posada-Moreno Sebastian Trimpe AI4TS 16 0 0 07 Apr 2025
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablocki Valentin Gerard Amaia Cardiel Eric Gaussier Matthieu Cord Eduardo Valle 76 0 0 23 Nov 2024
Deep Model Interpretation with Limited Data : A Coreset-based Approach Hamed Behzadi-Khormouji José Oramas SLR 18 0 0 01 Oct 2024
A survey on Concept-based Approaches For Model Improvement Avani Gupta P. J. Narayanan LRM 26 5 0 21 Mar 2024
SurroCBM: Concept Bottleneck Surrogate Models for Generative Post-hoc Explanation Bo Pan Zhenke Liu Yifei Zhang Liang Zhao 25 2 0 11 Oct 2023
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities Munib Mesinovic Peter Watkinson Ting Zhu FaML 19 3 0 16 Aug 2023
Scalable Concept Extraction in Industry 4.0 Andres Felipe Posada-Moreno K. Müller Florian Brillowski Friedrich Solowjow T. Gries Sebastian Trimpe 14 2 0 06 Jun 2023
FICNN: A Framework for the Interpretation of Deep Convolutional Neural Networks Hamed Behzadi-Khormouji José Oramas 11 0 0 17 May 2023
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees Johanna Vielhaben Stefan Blücher Nils Strodthoff 25 37 0 27 Jan 2023
Explainable Supervised Domain Adaptation V. Kamakshi N. C. Krishnan 30 2 0 20 May 2022
Sparse Subspace Clustering for Concept Discovery (SSCCD) Johanna Vielhaben Stefan Blücher Nils Strodthoff 23 6 0 11 Mar 2022
Cause and Effect: Hierarchical Concept-based Explanation of Neural Networks Mohammad Nokhbeh Zaeem Majid Komeili CML 8 9 0 14 May 2021
Benchmarking and Survey of Explanation Methods for Black Box Models F. Bodria F. Giannotti Riccardo Guidotti Francesca Naretto D. Pedreschi S. Rinzivillo XAI 33 219 0 25 Feb 2021
On Completeness-aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh Been Kim Sercan Ö. Arik Chun-Liang Li Tomas Pfister Pradeep Ravikumar FAtt 122 297 0 17 Oct 2019