Fair Mixup: Fairness via Interpolation

11 March 2021

Papers citing "Fair Mixup: Fairness via Interpolation"

22 / 22 papers shown

Title
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics Insung Kong Kunwoong Kim Yongdai Kim FaML 22 1 0 09 May 2025
ReLU integral probability metric and its applications Yuha Park Kunwoong Kim Insung Kong Yongdai Kim 34 0 0 26 Apr 2025
Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration Karina Halevy Karly Hou Charumathi Badrinath 70 0 0 13 Dec 2024
Multi-Output Distributional Fairness via Post-Processing Gang Li Qihang Lin Ayush Ghosh Tianbao Yang 47 0 0 31 Aug 2024
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models Song Wang Peng Wang Tong Zhou Yushun Dong Zhen Tan Jundong Li CoGe 44 6 0 02 Jul 2024
Synthetic Data Generation for Intersectional Fairness by Leveraging Hierarchical Group Structure Gaurav Maheshwari A. Bellet Pascal Denis Mikaela Keller 25 1 0 23 May 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors Chun-Yin Huang Kartik Srinivas Xin Zhang Xiaoxiao Li DD 48 6 0 19 May 2024
Generating Synthetic Datasets by Interpolating along Generalized Geodesics JiaoJiao Fan David Alvarez-Melis 11 10 0 12 Jun 2023
Racial Bias within Face Recognition: A Survey Seyma Yucer Furkan Tektas Noura Al Moubayed T. Breckon FaML 38 10 0 01 May 2023
Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets Jonas Ngnawé Marianne Abémgnigni Njifon Jonathan Heek Yann N. Dauphin OOD 11 4 0 06 Apr 2023
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach Zhimeng Jiang Xiaotian Han Hongye Jin Guanchu Wang Rui Chen Na Zou Xia Hu 8 13 0 06 Mar 2023
Debiasing Vision-Language Models via Biased Prompts Ching-Yao Chuang Varun Jampani Yuanzhen Li Antonio Torralba Stefanie Jegelka VLM 28 96 0 31 Jan 2023
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting P. Sattigeri S. Ghosh Inkit Padhi Pierre L. Dognin Kush R. Varshney FaML 25 28 0 13 Dec 2022
On Learning Fairness and Accuracy on Multiple Subgroups Changjian Shui Gezheng Xu Qi Chen Jiaqi Li Charles X. Ling Tal Arbel Boyu Wang Christian Gagné 37 37 0 19 Oct 2022
SLIDE: a surrogate fairness constraint to ensure fairness consistency Kunwoong Kim Ilsang Ohn Sara Kim Yongdai Kim 19 4 0 07 Feb 2022
Learning fair representation with a parametric integral probability metric Dongha Kim Kunwoong Kim Insung Kong Ilsang Ohn Yongdai Kim FaML 17 16 0 07 Feb 2022
Towards Understanding the Data Dependency of Mixup-style Training Muthuraman Chidambaram Xiang Wang Yuzheng Hu Chenwei Wu Rong Ge UQCV 39 24 0 14 Oct 2021
Gradual (In)Compatibility of Fairness Criteria Corinna Hertweck T. Raz 14 12 0 09 Sep 2021
An overview of mixing augmentation methods and augmentation strategies Dominik Lewy Jacek Mañdziuk 16 58 0 21 Jul 2021
Fairness via Representation Neutralization Mengnan Du Subhabrata Mukherjee Guanchu Wang Ruixiang Tang Ahmed Hassan Awadallah Xia Hu 18 76 0 23 Jun 2021
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization Nanyang Ye Kaican Li Haoyue Bai Runpeng Yu Lanqing Hong Fengwei Zhou Zhenguo Li Jun Zhu CML OOD 32 106 0 07 Jun 2021
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 213 673 0 17 Feb 2018