Unifying Fourteen Post-Hoc Attribution Methods With Taylor Interactions

Author:

Deng Huiqi1ORCID,Zou Na2ORCID,Du Mengnan3ORCID,Chen Weifu4ORCID,Feng Guocan5ORCID,Yang Ziwei6ORCID,Li Zheyang6ORCID,Zhang Quanshi7ORCID

Affiliation:

1. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China

2. Department of Industrial Engineering, University of Houston, Houston, TX, USA

3. Department of Data Science, New Jersey Institute of Technology, Newark, NJ, USA

4. Department of Computer Science, Guangzhou Maritime University, Guangzhou, Guandong, China

5. School of Mathematics and Computational Science, Sun Yat-sen University, Guangzhou, Guangdong, China

6. Hikvision Research Institute, Hangzhou, Zhejiang, China

7. Department of Computer Science and Engineering, and the John Hopcroft Center, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Natural Science Foundation of Shanghai Municipality

CCF-Hikvision Open fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference41 articles.

1. Sanity checks for saliency maps;Adebayo

2. Towards better understanding of gradient-based attribution methods for deep neural networks;Ancona

3. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

4. How to explain individual classification decisions;Baehrens;J. Mach. Learn. Res.,2010

5. Mutual Information Preserving Back-propagation

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