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Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI
  Benchmarks

Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks

12 January 2024
Stefan Blücher
Johanna Vielhaben
Nils Strodthoff
    AAML
ArXivPDFHTML

Papers citing "Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks"

9 / 9 papers shown
Title
MambaLRP: Explaining Selective State Space Sequence Models
MambaLRP: Explaining Selective State Space Sequence Models
F. Jafari
G. Montavon
Klaus-Robert Müller
Oliver Eberle
Mamba
41
9
0
11 Jun 2024
Feature Perturbation Augmentation for Reliable Evaluation of Importance
  Estimators in Neural Networks
Feature Perturbation Augmentation for Reliable Evaluation of Importance Estimators in Neural Networks
L. Brocki
N. C. Chung
FAtt
AAML
38
7
0
02 Mar 2023
From Shapley Values to Generalized Additive Models and back
From Shapley Values to Generalized Additive Models and back
Sebastian Bordt
U. V. Luxburg
FAtt
TDI
48
33
0
08 Sep 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Satyapriya Krishna
Tessa Han
Alex Gu
Steven Wu
S. Jabbari
Himabindu Lakkaraju
148
181
0
03 Feb 2022
Metrics for saliency map evaluation of deep learning explanation methods
Metrics for saliency map evaluation of deep learning explanation methods
T. Gomez
Thomas Fréour
Harold Mouchère
XAI
FAtt
56
35
0
31 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Andreas Lugmayr
Martin Danelljan
Andrés Romero
F. I. F. Richard Yu
Radu Timofte
Luc Van Gool
DiffM
200
1,330
0
24 Jan 2022
ResNet strikes back: An improved training procedure in timm
ResNet strikes back: An improved training procedure in timm
Ross Wightman
Hugo Touvron
Hervé Jégou
AI4TS
194
477
0
01 Oct 2021
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
225
2,069
0
24 Jun 2017
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
219
3,658
0
28 Feb 2017
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