Enhancing the Rationale-Input Alignment for Self-explaining Rationalization-Reference-Cited by-同舟云学术

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Enhancing the Rationale-Input Alignment for Self-explaining Rationalization

Published:2024-05-13 Issue: Volume:35 Page:2218-2230
ISSN:
Container-title:2024 IEEE 40th International Conference on Data Engineering (ICDE)
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Author:

Liu Wei¹,Wang Haozhao¹,Wang Jun²,Deng Zhiying¹,Zhang Yuankai¹,Wang Cheng¹,Li Ruixuan¹

Affiliation:

1. School of Computer Science and Technology, Huazhong University of Science and Technology,Wuhan,China

2. iWudao Tech,Nanjing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10597630/10597390/10597999.pdf?arnumber=10597999

Reference45 articles.

1. The Mythos of Model Interpretability

2. Interpretable complex-valued neural networks for privacy protection;Xiang,2019

3. Explanation in artificial intelligence: Insights from the social sciences

4. Interpretable Data-Based Explanations for Fairness Debugging

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