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FR-Train: A Mutual Information-Based Approach to Fair and Robust
  Training

FR-Train: A Mutual Information-Based Approach to Fair and Robust Training

24 February 2020
Yuji Roh
Kangwook Lee
Steven Euijong Whang
Changho Suh
ArXivPDFHTML

Papers citing "FR-Train: A Mutual Information-Based Approach to Fair and Robust Training"

14 / 14 papers shown
Title
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage
Ying Song
Balaji Palanisamy
78
0
0
28 Jan 2025
On the Inductive Biases of Demographic Parity-based Fair Learning
  Algorithms
On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms
Haoyu Lei
Amin Gohari
Farzan Farnia
FaML
35
1
0
28 Feb 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different
  Views
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
Yuji Roh
Qingyun Liu
Huan Gui
Zhe Yuan
Yujin Tang
...
Liang Liu
Shuchao Bi
Lichan Hong
Ed H. Chi
Zhe Zhao
43
1
0
07 Feb 2024
Improving Fair Training under Correlation Shifts
Improving Fair Training under Correlation Shifts
Yuji Roh
Kangwook Lee
Steven Euijong Whang
Changho Suh
27
17
0
05 Feb 2023
Fairness-aware Regression Robust to Adversarial Attacks
Fairness-aware Regression Robust to Adversarial Attacks
Yulu Jin
Lifeng Lai
FaML
OOD
21
4
0
04 Nov 2022
Fairness Reprogramming
Fairness Reprogramming
Guanhua Zhang
Yihua Zhang
Yang Zhang
Wenqi Fan
Qing Li
Sijia Liu
Shiyu Chang
AAML
83
38
0
21 Sep 2022
Prototype Based Classification from Hierarchy to Fairness
Prototype Based Classification from Hierarchy to Fairness
Mycal Tucker
J. Shah
FaML
14
6
0
27 May 2022
Optimising Equal Opportunity Fairness in Model Training
Optimising Equal Opportunity Fairness in Model Training
Aili Shen
Xudong Han
Trevor Cohn
Timothy Baldwin
Lea Frermann
FaML
26
28
0
05 May 2022
Improving Fairness via Federated Learning
Improving Fairness via Federated Learning
Yuchen Zeng
Hongxu Chen
Kangwook Lee
FedML
13
60
0
29 Oct 2021
Sample Selection for Fair and Robust Training
Sample Selection for Fair and Robust Training
Yuji Roh
Kangwook Lee
Steven Euijong Whang
Changho Suh
13
61
0
27 Oct 2021
Trustworthy AI: From Principles to Practices
Trustworthy AI: From Principles to Practices
Bo-wen Li
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
119
355
0
04 Oct 2021
Towards Out-Of-Distribution Generalization: A Survey
Towards Out-Of-Distribution Generalization: A Survey
Jiashuo Liu
Zheyan Shen
Yue He
Xingxuan Zhang
Renzhe Xu
Han Yu
Peng Cui
CML
OOD
52
516
0
31 Aug 2021
Information-theoretic regularization for Multi-source Domain Adaptation
Information-theoretic regularization for Multi-source Domain Adaptation
Geon Yeong Park
Sang Wan Lee
TTA
21
25
0
04 Apr 2021
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
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