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Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces
30 December 2022
Pattarawat Chormai
J. Herrmann
Klaus-Robert Muller
G. Montavon
FAtt
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Papers citing
"Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces"
11 / 11 papers shown
Title
Wasserstein Distances Made Explainable: Insights into Dataset Shifts and Transport Phenomena
Philip Naumann
Jacob R. Kauffmann
G. Montavon
26
0
0
09 May 2025
Explaining the Impact of Training on Vision Models via Activation Clustering
Ahcène Boubekki
Samuel G. Fadel
Sebastian Mair
89
0
0
29 Nov 2024
MambaLRP: Explaining Selective State Space Sequence Models
F. Jafari
G. Montavon
Klaus-Robert Müller
Oliver Eberle
Mamba
59
9
0
11 Jun 2024
Sparse Explanations of Neural Networks Using Pruned Layer-Wise Relevance Propagation
Paulo Yanez Sarmiento
Simon Witzke
Nadja Klein
Bernhard Y. Renard
FAtt
AAML
40
0
0
22 Apr 2024
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Lorenz Linhardt
Klaus-Robert Muller
G. Montavon
AAML
23
7
0
12 Apr 2023
Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models
Peter Hase
Mohit Bansal
Been Kim
Asma Ghandeharioun
MILM
34
167
0
10 Jan 2023
When are Post-hoc Conceptual Explanations Identifiable?
Tobias Leemann
Michael Kirchhof
Yao Rong
Enkelejda Kasneci
Gjergji Kasneci
50
10
0
28 Jun 2022
Deeply Explain CNN via Hierarchical Decomposition
Mingg-Ming Cheng
Peng-Tao Jiang
Linghao Han
Liang Wang
Philip H. S. Torr
FAtt
53
15
0
23 Jan 2022
High-Performance Large-Scale Image Recognition Without Normalization
Andrew Brock
Soham De
Samuel L. Smith
Karen Simonyan
VLM
223
512
0
11 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
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
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