首页|期刊导航|电子科技学刊|De-biased knowledge distillation framework based on knowledge infusion and label de-biasing techniques

De-biased knowledge distillation framework based on knowledge infusion and label de-biasing techniques

Yan Li Tai-Kang Tian Meng-Yu Zhuang Yu-Ting Sun

电子科技学刊2024，Vol.22Issue(3)：57-68,12.

电子科技学刊2024，Vol.22Issue(3)：57-68,12.DOI:10.1016/j.jnlest.2024.100278

De-biased knowledge distillation framework based on knowledge infusion and label de-biasing techniques

Yan Li ¹Tai-Kang Tian ²Meng-Yu Zhuang ²Yu-Ting Sun³

作者信息

1. School of Economics and Management,University of Electronic Science and Technology of China,Chengdu,611731,China
2. School of Economics and Management,Beijing University of Posts and Telecommunication,Beijing,100876,China
3. School of Electrical Engineering and Computer Science,The University of Queensland,Brisbane,4072,Australia
折叠

摘要

关键词

De-biasing/Deep learning/Knowledge distillation/Model compression

Key words

De-biasing/Deep learning/Knowledge distillation/Model compression

引用本文复制引用

Yan Li,Tai-Kang Tian,Meng-Yu Zhuang,Yu-Ting Sun..De-biased knowledge distillation framework based on knowledge infusion and label de-biasing techniques[J].电子科技学刊,2024,22(3):57-68,12.

基金项目

This work was supported by the National Natural Science Foundation of China under Grant No.62172056 （）

Young Elite Scientists Sponsorship Program by CAST under Grant No.2022QNRC001. （）

电子科技学刊

ISSN：1674-862X

访问量0

下载量0

段落导航