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Towards Real-world Debiasing: Rethinking Evaluation, Challenge, and Solution

Towards Real-world Debiasing: Rethinking Evaluation, Challenge, and Solution

24 May 2024
Peng Kuang
Zhibo Wang
Zhixuan Chu
Jingyi Wang
Kui Ren
    CML
ArXivPDFHTML

Papers citing "Towards Real-world Debiasing: Rethinking Evaluation, Challenge, and Solution"

5 / 5 papers shown
Title
Continual Causal Inference with Incremental Observational Data
Continual Causal Inference with Incremental Observational Data
Zhixuan Chu
Ruopeng Li
S. Rathbun
Sheng Li
CML
43
15
0
03 Mar 2023
Revisiting the Importance of Amplifying Bias for Debiasing
Revisiting the Importance of Amplifying Bias for Debiasing
Jungsoo Lee
Jeonghoon Park
Daeyoung Kim
Juyoung Lee
Edward Choi
Jaegul Choo
57
22
0
29 May 2022
Achieving Fairness at No Utility Cost via Data Reweighing with Influence
Achieving Fairness at No Utility Cost via Data Reweighing with Influence
Peizhao Li
Hongfu Liu
TDI
39
47
0
01 Feb 2022
A Fine-Grained Analysis on Distribution Shift
A Fine-Grained Analysis on Distribution Shift
Olivia Wiles
Sven Gowal
Florian Stimberg
Sylvestre-Alvise Rebuffi
Ira Ktena
Krishnamurthy Dvijotham
A. Cemgil
OOD
239
209
0
21 Oct 2021
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
344
4,237
0
23 Aug 2019
1