Fairness without Demographics through Adversarially Reweighted Learning

23 June 2020

Papers citing "Fairness without Demographics through Adversarially Reweighted Learning"

50 / 81 papers shown

Title
Fairness-aware Anomaly Detection via Fair Projection Feng Xiao Xiaoying Tang Jicong Fan 34 0 0 16 May 2025
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning Yifan Liu Ruichen Yao Y. Liu Ruohan Zong Zhiyu Li Yang Zhang Dong Wang CVBM 67 0 0 03 May 2025
M $^2$ FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness Jansen S. B. Pereira Giovani Valdrighi Marcos Medeiros Raimundo FaML 41 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
FairUDT: Fairness-aware Uplift Decision Trees Anam Zahid Abdur Rehman Ali Shaina Raza Rai Shahnawaz F. Kamiran Asim Karim 83 0 0 03 Feb 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 107 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 95 12 0 28 Jan 2025
Fairness without Demographics through Learning Graph of Gradients Yingtao Luo Zerui Li Qiang Liu Jun Zhu 99 0 0 31 Dec 2024
Alpha and Prejudice: Improving $α$ -sized Worst-case Fairness via Intrinsic Reweighting Jing Li Yinghua Yao Yuangang Pan Xuanqian Wang Ivor Tsang Xiuju Fu FaML 57 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 49 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 53 2 0 30 Apr 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 38 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 32 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 41 1 0 29 Feb 2024
On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms Haoyu Lei Amin Gohari Farzan Farnia FaML 37 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 49 30 0 11 Jan 2024
Removing Biases from Molecular Representations via Information Maximization Chenyu Wang Sharut Gupta Caroline Uhler Tommi Jaakkola 32 4 0 01 Dec 2023
A Survey on Fairness in Large Language Models Yingji Li Mengnan Du Rui Song Xin Wang Ying Wang ALM 57 60 0 20 Aug 2023
On the Fairness Impacts of Private Ensembles Models Cuong Tran Ferdinando Fioretto 41 4 0 19 May 2023
Fairness in AI and Its Long-Term Implications on Society Ondrej Bohdal Timothy M. Hospedales Philip Torr Fazl Barez 17 4 0 16 Apr 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 47 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 23 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 47 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 49 36 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 55 10 0 01 Dec 2022
MMD-B-Fair: Learning Fair Representations with Statistical Testing Namrata Deka Danica J. Sutherland 22 7 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 39 8 0 10 Nov 2022
Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning Xiaoli Tang Han Yu 50 5 0 21 Sep 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 56 34 0 19 Sep 2022
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence Zhenhuan Yang Yan Lok Ko Kush R. Varshney Yiming Ying FaML 35 17 0 22 Aug 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 28 57 0 15 Jun 2022
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data Zhun Deng Jiayao Zhang Linjun Zhang Ting Ye Yates Coley Weijie J. Su James Zou 43 16 0 06 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 45 78 0 06 May 2022
Subverting Fair Image Search with Generative Adversarial Perturbations A. Ghosh Matthew Jagielski Chris L. Wilson 24 7 0 05 May 2022
Optimising Equal Opportunity Fairness in Model Training Aili Shen Xudong Han Trevor Cohn Timothy Baldwin Lea Frermann FaML 32 28 0 05 May 2022
Learning to Split for Automatic Bias Detection Yujia Bao Regina Barzilay 26 20 0 28 Apr 2022
Neural Contrastive Clustering: Fully Unsupervised Bias Reduction for Sentiment Classification Jared Mowery SSL 35 0 0 22 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 21 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 34 37 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 37 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
Robust Hybrid Learning With Expert Augmentation Antoine Wehenkel Jens Behrmann Hsiang Hsu Guillermo Sapiro Gilles Louppe and J. Jacobsen 36 8 0 08 Feb 2022
FORML: Learning to Reweight Data for Fairness Bobby Yan Skyler Seto N. Apostoloff FaML 29 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 45 11 0 10 Jan 2022