Preserving AUC Fairness in Learning with Noisy Protected Groups

24 May 2025

Papers citing "Preserving AUC Fairness in Learning with Noisy Protected Groups"

39 / 39 papers shown

Title
Robust Fairness Vision-Language Learning for Medical Image Analysis Sparsh Bansal Mingyang Wu Xin Wang S. Hu VLM 72 0 0 06 May 2025
Robust AI-Generated Face Detection with Imbalanced Data Yamini Sri Krubha Aryana Hou Braden Vester Web Walker Xinze Wang Li Lin Shu Hu 85 0 0 04 May 2025
Vision-Language Models are Strong Noisy Label Detectors Tong Wei Haoyang Li Chun-Shu Li Jiang-Xin Shi Yu-Feng Li Min-Ling Zhang VLM 39 6 0 29 Sep 2024
Fairness in Survival Analysis with Distributionally Robust Optimization Shu Hu George H. Chen 65 5 0 31 Aug 2024
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification Yu Tian Congcong Wen Min Shi Muhammad Muneeb Afzal Hao Huang Muhammad Osama Khan Yan Luo Yi Fang Mengyu Wang OOD 67 10 0 11 Jul 2024
Large Scale Transfer Learning for Tabular Data via Language Modeling Josh Gardner Juan C. Perdomo Ludwig Schmidt LMTD 51 16 0 17 Jun 2024
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark Li Lin Santosh Xin Eric Wang Shu Hu Shu Hu EGVM 108 12 0 02 Jun 2024
Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans D. Kollias Anastasios Arsenos Stefanos D. Kollias 61 25 0 04 Mar 2024
Preserving Fairness Generalization in Deepfake Detection Li Lin Xinan He Yan Ju Xin Eric Wang Feng Ding Shu Hu 65 37 0 27 Feb 2024
Multimodal Foundation Models: From Specialists to General-Purpose Assistants Chunyuan Li Zhe Gan Zhengyuan Yang Jianwei Yang Linjie Li Lijuan Wang Jianfeng Gao MLLM 140 244 0 18 Sep 2023
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition with Limited Annotations Ping Hu Ximeng Sun Stan Sclaroff Kate Saenko VLM 57 25 0 03 Aug 2023
When Fair Classification Meets Noisy Protected Attributes Avijit Ghosh Pablo Kvitca Chris L. Wilson FaML 34 7 0 06 Jul 2023
Improving Fairness in Deepfake Detection Yan Ju Shu Hu Shan Jia George H. Chen Siwei Lyu 92 33 0 29 Jun 2023
Stochastic Methods for AUC Optimization subject to AUC-based Fairness Constraints Yao Yao Qihang Lin Tianbao Yang FaML 53 7 0 23 Dec 2022
Fair Ranking with Noisy Protected Attributes Anay Mehrotra Nisheeth K. Vishnoi 48 17 0 30 Nov 2022
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence Zhenhuan Yang Yan Lok Ko Kush R. Varshney Yiming Ying FaML 66 18 0 22 Aug 2022
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities Tianbao Yang 61 5 0 01 Nov 2021
Robust Attentive Deep Neural Network for Exposing GAN-generated Faces Hui Guo Shu Hu Xin Wang Ming-Ching Chang Siwei Lyu CVBM 35 35 0 05 Sep 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 671 28,659 0 26 Feb 2021
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification Zhuoning Yuan Yan Yan Milan Sonka Tianbao Yang AI4TS MedIm OOD 38 121 0 06 Dec 2020
Large-Scale Methods for Distributionally Robust Optimization Daniel Levy Y. Carmon John C. Duchi Aaron Sidford 56 212 0 12 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 76 625 0 04 Oct 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization Pierre Foret Ariel Kleiner H. Mobahi Behnam Neyshabur AAML 157 1,323 0 03 Oct 2020
Fairness without Demographics through Adversarially Reweighted Learning Preethi Lahoti Alex Beutel Jilin Chen Kang Lee Flavien Prost Nithum Thain Xuezhi Wang Ed H. Chi FaML 100 334 0 23 Jun 2020
Robust Optimization for Fairness with Noisy Protected Groups S. Wang Wenshuo Guo Harikrishna Narasimhan Andrew Cotter Maya R. Gupta Michael I. Jordan NoLa 45 121 0 21 Feb 2020
Pairwise Fairness for Ranking and Regression Harikrishna Narasimhan Andrew Cotter Maya R. Gupta S. Wang 52 114 0 12 Jun 2019
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination Nathan Kallus Xiaojie Mao Angela Zhou FaML 41 156 0 01 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 87 17,950 0 28 May 2019
Fairness in Recommendation Ranking through Pairwise Comparisons Alex Beutel Jilin Chen Tulsee Doshi Hai Qian Li Wei ... Lukasz Heldt Zhe Zhao Lichan Hong Ed H. Chi Cristos Goodrow FaML 94 378 0 02 Mar 2019
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric Nathan Kallus Angela Zhou 67 74 0 15 Feb 2019
FaceForensics++: Learning to Detect Manipulated Facial Images Andreas Rossler D. Cozzolino L. Verdoliva Christian Riess Justus Thies Matthias Nießner CVBM 70 2,058 0 25 Jan 2019
Fairness risk measures Robert C. Williamson A. Menon FaML 115 139 0 24 Jan 2019
How does Disagreement Help Generalization against Label Corruption? Xingrui Yu Bo Han Jiangchao Yao Gang Niu Ivor W. Tsang Masashi Sugiyama NoLa 37 778 0 14 Jan 2019
Learning Models with Uniform Performance via Distributionally Robust Optimization John C. Duchi Hongseok Namkoong OOD 46 413 0 20 Oct 2018
Proxy Fairness Maya R. Gupta Andrew Cotter M. M. Fard S. Wang 39 71 0 28 Jun 2018
Fairness Without Demographics in Repeated Loss Minimization Tatsunori B. Hashimoto Megha Srivastava Hongseok Namkoong Percy Liang FaML 72 581 0 20 Jun 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 71 443 0 23 Feb 2018
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang Zhengyuan Zhou Thomas Leung Li Li Li Fei-Fei NoLa 88 1,448 0 14 Dec 2017
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 846 14,493 0 07 Oct 2016