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This looks more like that: Enhancing Self-Explaining Models by
  Prototypical Relevance Propagation

This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation

27 August 2021
Srishti Gautam
Marina M.-C. Höhne
Stine Hansen
Robert Jenssen
Michael C. Kampffmeyer
ArXivPDFHTML

Papers citing "This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation"

4 / 4 papers shown
Title
Prototypical Self-Explainable Models Without Re-training
Prototypical Self-Explainable Models Without Re-training
Srishti Gautam
Ahcène Boubekki
Marina M.-C. Höhne
Michael C. Kampffmeyer
13
2
0
13 Dec 2023
ICICLE: Interpretable Class Incremental Continual Learning
ICICLE: Interpretable Class Incremental Continual Learning
Dawid Rymarczyk
Joost van de Weijer
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
8
28
0
14 Mar 2023
Explainable AI for Time Series via Virtual Inspection Layers
Explainable AI for Time Series via Virtual Inspection Layers
Johanna Vielhaben
Sebastian Lapuschkin
G. Montavon
Wojciech Samek
XAI
AI4TS
10
24
0
11 Mar 2023
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
228
2,231
0
24 Jun 2017
1