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

Haonan Wang
Ziwei Wu
Jingrui He
ArXiv (abs)PDFHTML

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
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
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
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
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

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