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Concept-based Explanations using Non-negative Concept Activation Vectors
  and Decision Tree for CNN Models

Concept-based Explanations using Non-negative Concept Activation Vectors and Decision Tree for CNN Models

19 November 2022
Gayda Mutahar
Tim Miller
    FAtt
ArXivPDFHTML

Papers citing "Concept-based Explanations using Non-negative Concept Activation Vectors and Decision Tree for CNN Models"

3 / 3 papers shown
Title
Transformation of audio embeddings into interpretable, concept-based representations
Transformation of audio embeddings into interpretable, concept-based representations
Alice Zhang
Edison Thomaz
Lie Lu
27
0
0
18 Apr 2025
A survey on Concept-based Approaches For Model Improvement
A survey on Concept-based Approaches For Model Improvement
Avani Gupta
P. J. Narayanan
LRM
24
5
0
21 Mar 2024
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,672
0
28 Feb 2017
1