FairIF: Boosting Fairness in Deep Learning via Influence Functions with
Validation Set Sensitive Attributes

v1v2 (latest)

FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes

15 January 2022

Ziwei Wu

ArXiv (abs)PDF HTML

Papers citing "FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes"

4 / 4 papers shown

Title
A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning Yuzheng Hu Fan Wu Haotian Ye David A. Forsyth James Y. Zou Nan Jiang Jiaqi W. Ma Han Zhao OffRL 72 0 0 25 May 2025
Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions Chenlu Ding Jiancan Wu Yancheng Yuan Sihang Li Cunchun Li Xiang Wang Xiangnan He 113 1 0 01 Feb 2025
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution Yushun Dong Song Wang Jing Ma Ninghao Liu Jundong Li 107 22 0 25 Nov 2022
Understanding Programmatic Weak Supervision via Source-aware Influence Function Jieyu Zhang Hong Wang Cheng-Yu Hsieh Alexander Ratner TDI 88 12 0 25 May 2022