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Quantitative Evaluations on Saliency Methods: An Experimental Study

Quantitative Evaluations on Saliency Methods: An Experimental Study

31 December 2020
Xiao-hui Li
Yuhan Shi
Haoyang Li
Wei Bai
Yuanwei Song
Caleb Chen Cao
Lei Chen
    FAtt
    XAI
ArXivPDFHTML

Papers citing "Quantitative Evaluations on Saliency Methods: An Experimental Study"

4 / 4 papers shown
Title
Evaluation of Saliency-based Explainability Method
Evaluation of Saliency-based Explainability Method
Sam Zabdiel Sunder Samuel
V. Kamakshi
Namrata Lodhi
N. C. Krishnan
FAtt
XAI
24
12
0
24 Jun 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A
  Systematic Survey of Surveys on Methods and Concepts
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts
Gesina Schwalbe
Bettina Finzel
XAI
26
184
0
15 May 2021
Connecting Interpretability and Robustness in Decision Trees through
  Separation
Connecting Interpretability and Robustness in Decision Trees through Separation
Michal Moshkovitz
Yao-Yuan Yang
Kamalika Chaudhuri
25
22
0
14 Feb 2021
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,683
0
28 Feb 2017
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