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Instance-wise or Class-wise? A Tale of Neighbor Shapley for
  Concept-based Explanation

Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation

3 September 2021
Jiahui Li
Kun Kuang
Lin Li
Long Chen
Songyang Zhang
Jian Shao
Jun Xiao
    FAtt
ArXivPDFHTML

Papers citing "Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation"

4 / 4 papers shown
Title
Explaining the Impact of Training on Vision Models via Activation Clustering
Explaining the Impact of Training on Vision Models via Activation Clustering
Ahcène Boubekki
Samuel G. Fadel
Sebastian Mair
89
0
0
29 Nov 2024
Sparse Subspace Clustering for Concept Discovery (SSCCD)
Sparse Subspace Clustering for Concept Discovery (SSCCD)
Johanna Vielhaben
Stefan Blücher
Nils Strodthoff
23
6
0
11 Mar 2022
Excitement Surfeited Turns to Errors: Deep Learning Testing Framework
  Based on Excitable Neurons
Excitement Surfeited Turns to Errors: Deep Learning Testing Framework Based on Excitable Neurons
Haibo Jin
Ruoxi Chen
Haibin Zheng
Jinyin Chen
Yao Cheng
Yue Yu
Xianglong Liu
AAML
14
6
0
12 Feb 2022
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
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
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