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2006.13114
Cited By
Fairness without Demographics through Adversarially Reweighted Learning
23 June 2020
Preethi Lahoti
Alex Beutel
Jilin Chen
Kang Lee
Flavien Prost
Nithum Thain
Xuezhi Wang
Ed H. Chi
FaML
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Papers citing
"Fairness without Demographics through Adversarially Reweighted Learning"
50 / 65 papers shown
Title
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning
Yifan Liu
Ruichen Yao
Y. Liu
Ruohan Zong
Z. Li
Yang Zhang
Dong Wang
CVBM
58
0
0
03 May 2025
M
2
^2
2
FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness
Jansen S. B. Pereira
Giovani Valdrighi
Marcos Medeiros Raimundo
FaML
39
0
0
16 Apr 2025
Fair Text Classification via Transferable Representations
Thibaud Leteno
Michael Perrot
Charlotte Laclau
Antoine Gourru
Christophe Gravier
FaML
88
0
0
10 Mar 2025
Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool
Floris Holstege
Mackenzie Jorgensen
Kirtan Padh
Jurriaan Parie
Joel Persson
Krsto Prorokovic
Lukas Snoek
105
0
0
03 Feb 2025
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
Kaizheng Wang
Keivan K1 Shariatmadar
Shireen Kudukkil Manchingal
Fabio Cuzzolin
David Moens
Hans Hallez
UQCV
BDL
92
12
0
28 Jan 2025
Alpha and Prejudice: Improving
α
α
α
-sized Worst-case Fairness via Intrinsic Reweighting
Jing Li
Yinghua Yao
Yuangang Pan
Xuanqian Wang
Ivor Tsang
Xiuju Fu
FaML
37
0
0
05 Nov 2024
Balancing the Scales: Reinforcement Learning for Fair Classification
Leon Eshuijs
Shihan Wang
Antske Fokkens
FaML
32
0
0
15 Jul 2024
FairJob: A Real-World Dataset for Fairness in Online Systems
Mariia Vladimirova
Federico Pavone
Eustache Diemert
39
1
0
03 Jul 2024
Fairness-Aware Meta-Learning via Nash Bargaining
Yi Zeng
Xuelin Yang
Li Chen
Cristian Canton Ferrer
Ming Jin
Michael I. Jordan
Ruoxi Jia
42
2
0
11 Jun 2024
Fairness Without Demographics in Human-Centered Federated Learning
Shaily Roy
Harshit Sharma
Asif Salekin
51
2
0
30 Apr 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey
Tahsin Alamgir Kheya
Mohamed Reda Bouadjenek
Sunil Aryal
28
8
0
26 Mar 2024
FairSTG: Countering performance heterogeneity via collaborative sample-level optimization
Gengyu Lin
Zhen-Qiang Zhou
Qihe Huang
Kuo Yang
Shifen Cheng
Yang Wang
AI4TS
27
1
0
19 Mar 2024
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models
Cyrus Cousins
I. E. Kumar
Suresh Venkatasubramanian
FedML
34
1
0
29 Feb 2024
On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms
Haoyu Lei
Amin Gohari
Farzan Farnia
FaML
35
1
0
28 Feb 2024
Fairness Risks for Group-conditionally Missing Demographics
Kaiqi Jiang
Wenzhe Fan
Mao Li
Xinhua Zhang
105
0
0
20 Feb 2024
A Closer Look at AUROC and AUPRC under Class Imbalance
Matthew B. A. McDermott
Lasse Hyldig Hansen
Haoran Zhang
Giovanni Angelotti
Jack Gallifant
36
31
0
11 Jan 2024
Removing Biases from Molecular Representations via Information Maximization
Chenyu Wang
Sharut Gupta
Caroline Uhler
Tommi Jaakkola
15
4
0
01 Dec 2023
A Survey on Fairness in Large Language Models
Yingji Li
Mengnan Du
Rui Song
Xin Wang
Ying Wang
ALM
49
59
0
20 Aug 2023
On the Fairness Impacts of Private Ensembles Models
Cuong Tran
Ferdinando Fioretto
41
4
0
19 May 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
Bowen Zhao
Chen Chen
Qian-Wei Wang
Anfeng He
Shutao Xia
29
1
0
22 Feb 2023
An Empirical Analysis of Fairness Notions under Differential Privacy
Anderson Santana de Oliveira
Caelin Kaplan
Khawla Mallat
Tanmay Chakraborty
FedML
13
7
0
06 Feb 2023
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access
A. Veldanda
Ivan Brugere
Sanghamitra Dutta
Alan Mishler
S. Garg
36
5
0
02 Feb 2023
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers
Sungmin Cha
Sungjun Cho
Dasol Hwang
Honglak Lee
Taesup Moon
Moontae Lee
MU
36
35
0
27 Jan 2023
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Andrei Atanov
Andrei Filatov
Teresa Yeo
Ajay Sohmshetty
Amir Zamir
OOD
40
10
0
01 Dec 2022
MMD-B-Fair: Learning Fair Representations with Statistical Testing
Namrata Deka
Danica J. Sutherland
20
6
0
15 Nov 2022
RISE: Robust Individualized Decision Learning with Sensitive Variables
Xiaoqing Ellen Tan
Zhengling Qi
C. Seymour
Lu Tang
OffRL
26
8
0
12 Nov 2022
Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness
C. Hazirbas
Yejin Bang
Tiezheng Yu
Parisa Assar
Bilal Porgali
...
Jacqueline Pan
Emily McReynolds
Miranda Bogen
Pascale Fung
Cristian Canton Ferrer
27
8
0
10 Nov 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
Zongbo Han
Zhipeng Liang
Fan Yang
Liu Liu
Lanqing Li
Yatao Bian
P. Zhao
Bing Wu
Changqing Zhang
Jianhua Yao
53
34
0
19 Sep 2022
"You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning
Marc Juárez
Aleksandra Korolova
FedML
32
9
0
24 Jun 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview
Florian Karl
Tobias Pielok
Julia Moosbauer
Florian Pfisterer
Stefan Coors
...
Jakob Richter
Michel Lang
Eduardo C. Garrido-Merchán
Juergen Branke
B. Bischl
AI4CE
26
56
0
15 Jun 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations
Aparna Balagopalan
Haoran Zhang
Kimia Hamidieh
Thomas Hartvigsen
Frank Rudzicz
Marzyeh Ghassemi
38
77
0
06 May 2022
Optimising Equal Opportunity Fairness in Model Training
Aili Shen
Xudong Han
Trevor Cohn
Timothy Baldwin
Lea Frermann
FaML
29
28
0
05 May 2022
Learning to Split for Automatic Bias Detection
Yujia Bao
Regina Barzilay
17
20
0
28 Apr 2022
Estimating Structural Disparities for Face Models
Shervin Ardeshir
Cristina Segalin
Nathan Kallus
CVBM
27
5
0
13 Apr 2022
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization
Zeyi Huang
Haohan Wang
Dong Huang
Yong Jae Lee
Eric P. Xing
13
22
0
09 Apr 2022
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons
Xuanqi Gao
Juan Zhai
Shiqing Ma
Chao Shen
Yufei Chen
Qianqian Wang
28
36
0
06 Apr 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning
Natalie Dullerud
Karsten Roth
Kimia Hamidieh
Nicolas Papernot
Marzyeh Ghassemi
27
15
0
23 Mar 2022
Improving the Fairness of Chest X-ray Classifiers
Haoran Zhang
Natalie Dullerud
Karsten Roth
Lauren Oakden-Rayner
Stephen R. Pfohl
Marzyeh Ghassemi
23
65
0
23 Mar 2022
FORML: Learning to Reweight Data for Fairness
Bobby Yan
Skyler Seto
N. Apostoloff
FaML
23
11
0
03 Feb 2022
Towards Group Robustness in the presence of Partial Group Labels
Vishnu Suresh Lokhande
Kihyuk Sohn
Jinsung Yoon
Madeleine Udell
Chen-Yu Lee
Tomas Pfister
OOD
34
11
0
10 Jan 2022
BARACK: Partially Supervised Group Robustness With Guarantees
N. Sohoni
Maziar Sanjabi
Nicolas Ballas
Aditya Grover
Shaoliang Nie
Hamed Firooz
Christopher Ré
OOD
17
24
0
31 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
139
130
0
15 Dec 2021
Learning Invariant Representations with Missing Data
Mark Goldstein
J. Jacobsen
O. Chau
A. Saporta
A. Puli
Rajesh Ranganath
Andrew C. Miller
OOD
17
5
0
01 Dec 2021
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features
Haohan Wang
Zeyi Huang
Hanlin Zhang
Yong Jae Lee
Eric P. Xing
OOD
132
16
0
05 Nov 2021
Modeling Techniques for Machine Learning Fairness: A Survey
Mingyang Wan
Daochen Zha
Ninghao Liu
Na Zou
SyDa
FaML
30
36
0
04 Nov 2021
Sample Selection for Fair and Robust Training
Yuji Roh
Kangwook Lee
Steven Euijong Whang
Changho Suh
15
61
0
27 Oct 2021
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach
Zhao Wang
Kai Shu
A. Culotta
OOD
21
14
0
03 Oct 2021
A survey on datasets for fairness-aware machine learning
Tai Le Quy
Arjun Roy
Vasileios Iosifidis
Wenbin Zhang
Eirini Ntoutsi
FaML
11
240
0
01 Oct 2021
A Fairness Analysis on Private Aggregation of Teacher Ensembles
Cuong Tran
M. H. Dinh
Kyle Beiter
Ferdinando Fioretto
21
12
0
17 Sep 2021
Balancing out Bias: Achieving Fairness Through Balanced Training
Xudong Han
Timothy Baldwin
Trevor Cohn
26
39
0
16 Sep 2021
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