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A Unified Taylor Framework for Revisiting Attribution Methods

A Unified Taylor Framework for Revisiting Attribution Methods

21 August 2020
Huiqi Deng
Na Zou
Mengnan Du
Weifu Chen
Guo-Can Feng
Xia Hu
    FAtt
    TDI
ArXivPDFHTML

Papers citing "A Unified Taylor Framework for Revisiting Attribution Methods"

4 / 4 papers shown
Title
Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis
Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis
Hiroshi Yokoyama
Ryusei Shingaki
Kaneharu Nishino
Shohei Shimizu
Thong Pham
CML
75
0
0
11 Nov 2024
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly
  Attribution
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution
T. Idé
Naoki Abe
38
4
0
09 Aug 2023
Technical Note: Defining and Quantifying AND-OR Interactions for
  Faithful and Concise Explanation of DNNs
Technical Note: Defining and Quantifying AND-OR Interactions for Faithful and Concise Explanation of DNNs
Mingjie Li
Quanshi Zhang
30
9
0
26 Apr 2023
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
1