Sample Selection for Fair and Robust Training

27 October 2021

Papers citing "Sample Selection for Fair and Robust Training"

43 / 43 papers shown

Title
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond Qiongxiu Li Xiaoyu Luo Yiyi Chen Johannes Bjerva 45 0 0 10 Mar 2025
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time Xiaotian Han Tianlong Chen Kaixiong Zhou Zhimeng Jiang Zhangyang Wang Xia Hu 165 0 0 10 Mar 2025
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets Vatsal Gupta Pranshu Pandya Tushar Kataria Vivek Gupta Dan Roth AAML 55 1 0 03 Jan 2025
Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging Magdalini Paschali Yu Hang Jiang Spencer Siegel Camila Gonzalez K. Pohl Akshay S. Chaudhari Qingyu Zhao 20 0 0 01 Oct 2024
The Benefits and Risks of Transductive Approaches for AI Fairness Muhammed Razzak Andreas Kirsch Yarin Gal 30 0 0 17 Jun 2024
RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks Seonghyeon Hwang Minsu Kim Steven Euijong Whang NoLa 27 2 0 28 May 2024
Multigroup Robustness Lunjia Hu Charlotte Peale Judy Hanwen Shen OOD 38 1 0 01 May 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 58 0 0 13 Mar 2024
VTruST: Controllable value function based subset selection for Data-Centric Trustworthy AI Soumili Das Shubhadip Nag Shreyyash Sharma Suparna Bhattacharya Sourangshu Bhattacharya 26 0 0 08 Mar 2024
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
Falcon: Fair Active Learning using Multi-armed Bandits Ki Hyun Tae Hantian Zhang Jaeyoung Park Kexin Rong Steven Euijong Whang FaML 14 2 0 23 Jan 2024
Causal Fairness-Guided Dataset Reweighting using Neural Networks Xuan Zhao Klaus Broelemann Salvatore Ruggieri Gjergji Kasneci 29 1 0 17 Nov 2023
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing Zikai Xiong Niccolò Dalmasso Alan Mishler Vamsi K. Potluru T. Balch Manuela Veloso 11 2 0 31 Oct 2023
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing Vincent Grari Thibault Laugel Tatsunori Hashimoto Sylvain Lamprier Marcin Detyniecki 38 2 0 27 Oct 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 32 1 0 25 Oct 2023
Understanding Fairness Surrogate Functions in Algorithmic Fairness Wei Yao Zhanke Zhou Zhicong Li Bo Han Yong Liu 29 3 0 17 Oct 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools Maximilian Schambach Rakshit Naidu Rayid Ghani Kit T. Rodolfa Daniel E. Ho Hoda Heidari FaML 35 14 0 29 Sep 2023
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing Zhihao Hu Yiran Xu Mengnan Du Jindong Gu Xinmei Tian Fengxiang He 28 1 0 15 Sep 2023
Saturn: An Optimized Data System for Large Model Deep Learning Workloads Kabir Nagrecha Arun Kumar 16 6 0 03 Sep 2023
RetouchingFFHQ: A Large-scale Dataset for Fine-grained Face Retouching Detection Qichao Ying Jiaxin Liu Sheng Li Haisheng Xu Zhenxing Qian Xinpeng Zhang CVBM 24 7 0 20 Jul 2023
A Trip Towards Fairness: Bias and De-Biasing in Large Language Models Leonardo Ranaldi Elena Sofia Ruzzetti Davide Venditti Dario Onorati Fabio Massimo Zanzotto 32 34 0 23 May 2023
Racial Bias within Face Recognition: A Survey Seyma Yucer Furkan Tektas Noura Al Moubayed T. Breckon FaML 38 10 0 01 May 2023
To be Robust and to be Fair: Aligning Fairness with Robustness Junyi Chai Xiaoqian Wang 52 2 0 31 Mar 2023
Fairguard: Harness Logic-based Fairness Rules in Smart Cities Yiqi Zhao Ziyan An Xuqing Gao Ayan Mukhopadhyay Meiyi Ma AI4TS 13 1 0 22 Feb 2023
Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition Luke E. Richards Edward Raff Cynthia Matuszek AAML 16 2 0 17 Feb 2023
An investigation of challenges encountered when specifying training data and runtime monitors for safety critical ML applications Hans-Martin Heyn E. Knauss Iswarya Malleswaran Shruthi Dinakaran 32 4 0 31 Jan 2023
The Grind for Good Data: Understanding ML Practitioners' Struggles and Aspirations in Making Good Data Inha Cha Juhyun Oh Cheul Young Park Jiyoon Han Hwalsuk Lee 29 2 0 28 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 27 12 0 09 Nov 2022
Fairness-aware Regression Robust to Adversarial Attacks Yulu Jin Lifeng Lai FaML OOD 26 4 0 04 Nov 2022
I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data Tobias Leemann Martin Pawelczyk Christian Thomas Eberle Gjergji Kasneci 38 1 0 25 Oct 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 32 32 0 18 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 33 159 0 14 Jul 2022
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing Jiayin Jin Zeru Zhang Yang Zhou Lingfei Wu 17 13 0 22 Jun 2022
Fairness Transferability Subject to Bounded Distribution Shift Yatong Chen Reilly P. Raab Jialu Wang Yang Liu 19 34 0 31 May 2022
Certifying Some Distributional Fairness with Subpopulation Decomposition Mintong Kang Linyi Li Maurice Weber Yang Liu Ce Zhang Bo-wen Li OOD 54 15 0 31 May 2022
Breaking Fair Binary Classification with Optimal Flipping Attacks Changhun Jo Jy-yong Sohn Kangwook Lee FaML 17 7 0 12 Apr 2022
Segmenting across places: The need for fair transfer learning with satellite imagery Miaohui Zhang Harvineet Singh Lazarus Chok R. Chunara 19 13 0 09 Apr 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks Xin Yu Thiago Serra Srikumar Ramalingam Shandian Zhe 39 48 0 09 Mar 2022
FORML: Learning to Reweight Data for Fairness Bobby Yan Skyler Seto N. Apostoloff FaML 23 11 0 03 Feb 2022
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients Jaemin Shin Yuanchun Li Yunxin Liu Sung-Ju Lee FedML 17 72 0 05 Jan 2022
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective Steven Euijong Whang Yuji Roh Hwanjun Song Jae-Gil Lee 27 325 0 13 Dec 2021
FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data Eugenia Iofinova Nikola Konstantinov Christoph H. Lampert FaML 30 0 0 22 Jun 2021
Lower Bounds and Accelerated Algorithms for Bilevel Optimization Kaiyi Ji Yingbin Liang 18 57 0 07 Feb 2021