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Inherent Tradeoffs in Learning Fair Representations

Neural Information Processing Systems (NeurIPS), 2019

19 June 2019

Papers citing "Inherent Tradeoffs in Learning Fair Representations"

50 / 139 papers shown

Title
Cost Efficient Fairness Audit Under Partial Feedback Nirjhar Das Mohit Sharma Praharsh Nanavati Kirankumar Shiragur Amit Deshpande MLAU 200 0 0 04 Oct 2025
Explaining How Quantization Disparately Skews a Model Abhimanyu Bellam Jung-Eun Kim MQ 120 0 0 08 Sep 2025
From Global to Local: Social Bias Transfer in CLIP Ryan Ramos Yusuke Hirota Yuta Nakashima Noa Garcia 92 0 0 25 Aug 2025
Fairness for the People, by the People: Minority Collective Action Omri Ben-Dov Samira Samadi Amartya Sanyal Alexandru Ţifrea 108 1 0 21 Aug 2025
Group Fairness Meets the Black Box: Enabling Fair Algorithms on Closed LLMs via Post-Processing Ruicheng Xian Yuxuan Wan Han Zhao FaML 173 0 0 15 Aug 2025
Nonlinear Concept Erasure: a Density Matching Approach Antoine Saillenfest Pirmin Lemberger 176 0 0 16 Jul 2025
FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI Fairness Tina Behzad Mithilesh Singh Anthony J. Ripa Klaus Mueller 223 2 0 22 Apr 2025
Role and Use of Race in AI/ML Models Related to Health Martin C. Were Ang Li Sricharan Kumar Zhijun Yin Joseph R. Coco ... Laurie L. Novak Rachele Hendricks-Sturrup Abiodun Oluyomi Shilo Anders Chao Yan 175 0 0 01 Apr 2025
Fair Sufficient Representation Learning Xueyu Zhou Chun Yin IP Jian Huang FaML 181 0 0 29 Mar 2025
The Cost of Local and Global Fairness in Federated LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Yuying Duan Gelei Xu Yiyu Shi Michael Lemmon FedML 375 1 0 27 Mar 2025
A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems Gökhan Özbulak Oscar Jimenez-del-Toro Maíra Fatoretto Lilian Berton André Anjos FaML 308 0 0 14 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 Helen Zhou 781 0 0 10 Mar 2025
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 503 4 0 10 Mar 2025
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models Ruta Binkyte Ivaxi Sheth Zhijing Jin Mohammad Havaei Bernhard Schölkopf Mario Fritz 1.2K 5 0 28 Feb 2025
AFed: Algorithmic Fair Federated LearningIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025 Huiqiang Chen Tianqing Zhu Wanlei Zhou Wei Zhao FedML 203 4 0 06 Jan 2025
Fair Resource Allocation in Weakly Coupled Markov Decision ProcessesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Xiaohui Tu Yossiri Adulyasak Nima Akbarzadeh Erick Delage 273 0 0 14 Nov 2024
Towards Harmless Rawlsian Fairness Regardless of Demographic PriorNeural Information Processing Systems (NeurIPS), 2024 Xuanqian Wang Jing Li Ivor Tsang Yew-Soon Ong 306 2 0 04 Nov 2024
FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation Rohan Sukumaran Aarash Feizi Adriana Romero-Sorian G. Farnadi 214 3 0 22 Oct 2024
Auditing and Enforcing Conditional Fairness via Optimal TransportAAAI Conference on Artificial Intelligence (AAAI), 2024 Mohsen Ghassemi Alan Mishler Niccolò Dalmasso Luhao Zhang Vamsi K. Potluru T. Balch Manuela Veloso 230 1 0 17 Oct 2024
Uncertainty-Aware Fairness-Adaptive Classification Trees Anna Gottard Vanessa Verrina Sabrina Giordano 70 0 0 08 Oct 2024
Rethinking Fair Representation Learning for Performance-Sensitive TasksInternational Conference on Learning Representations (ICLR), 2024 Charles Jones Fabio De Sousa Ribeiro Mélanie Roschewitz Daniel Coelho De Castro Ben Glocker FaML OOD CML 588 5 0 05 Oct 2024
Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation Md Fahim Sikder Daniel de Leng Fredrik Heintz 206 1 0 02 Oct 2024
Efficient Fairness-Performance Pareto Front Computation Mark Kozdoba Binyamin Perets Shie Mannor 265 0 0 26 Sep 2024
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorchNeural Information Processing Systems (NeurIPS), 2024 Xiaoyuan Zhang Liang Zhao Yingying Yu Xi Lin Yifan Chen Han Zhao Qingfu Zhang AI4CE 271 7 0 04 Sep 2024
Fairness and Bias Mitigation in Computer Vision: A Survey Sepehr Dehdashtian Ruozhen He Yi Li Guha Balakrishnan Nuno Vasconcelos Vicente Ordonez Vishnu Boddeti 333 11 0 05 Aug 2024
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning Qi Qi Quanqi Hu Qihang Lin Tianbao Yang 273 3 0 09 Jun 2024
Is On-Device AI Broken and Exploitable? Assessing the Trust and Ethics in Small Language Models Kalyan Nakka Jimmy Dani Nitesh Saxena 367 3 0 08 Jun 2024
A Unified View of Group Fairness Tradeoffs Using Partial Information DecompositionInternational Symposium on Information Theory (ISIT), 2024 Faisal Hamman Sanghamitra Dutta 200 3 0 07 Jun 2024
On the Power of Randomization in Fair Classification and Representation Sushant Agarwal Amit Deshpande FaML 201 5 0 05 Jun 2024
Differentially Private Clustered Federated Learning Saber Malekmohammadi Afaf Taik G. Farnadi FedML 297 2 0 29 May 2024
Post-Fair Federated Learning: Achieving Group and Community Fairness in Federated Learning via Post-processing Yuying Duan Yijun Tian Nitesh Chawla Michael Lemmon FedML 248 6 0 28 May 2024
Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly Yijun Bian Yujie Luo FaML 151 2 0 15 May 2024
Intrinsic Fairness-Accuracy Tradeoffs under Equalized Odds Meiyu Zhong Ravi Tandon FaML 211 8 0 12 May 2024
Fair Mixed Effects Support Vector Machine Joao Vitor Pamplona J. P. Burgard FaML 160 3 0 10 May 2024
Differentially Private Post-Processing for Fair Regression Ruicheng Xian Qiaobo Li Gautam Kamath Han Zhao 285 7 0 07 May 2024
Distributionally Generative Augmentation for Fair Facial Attribute ClassificationComputer Vision and Pattern Recognition (CVPR), 2024 Tai-wei Chang Qianpei He Kun Kuang Tianyu Wang Long Chen Chao-Xiang Wu Jun Xiao Hanwang Zhang CVBM 248 10 0 11 Mar 2024
Differentially Private Fair Binary Classifications Hrad Ghoukasian S. Asoodeh FaML 202 5 0 23 Feb 2024
Fairness Without Harm: An Influence-Guided Active Sampling Approach Jinlong Pang Jialu Wang Zhaowei Zhu Yuanshun Yao Chen Qian Yang Liu TDI 203 8 0 20 Feb 2024
UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition Xiao-Yan Zhang Xi Lin Yichi Zhang Yifan Chen Qingfu Zhang 150 1 0 14 Feb 2024
A survey of recent methods for addressing AI fairness and bias in biomedicine Yifan Yang Mingquan Lin Han Zhao Yifan Peng Furong Huang Zhiyong Lu 249 45 0 13 Feb 2024
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks EfficientlyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024 Zicun Cong Baoxu Shi Shan Li Jaewon Yang Qi He Jian Pei 272 9 0 26 Jan 2024
Falcon: Fair Active Learning using Multi-armed BanditsProceedings of the VLDB Endowment (PVLDB), 2024 Ki Hyun Tae Hantian Zhang Jaeyoung Park Kexin Rong Steven Euijong Whang FaML 283 6 0 23 Jan 2024
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach Aoqi Zuo Yiqing Li Susan Wei Biwei Huang FaML 248 8 0 19 Jan 2024
On the (In)Compatibility between Group Fairness and Individual Fairness Shizhou Xu Thomas Strohmer FaML 124 5 0 13 Jan 2024
On The Fairness Impacts of Hardware Selection in Machine Learning Sree Harsha Nelaturu Nishaanth Kanna Ravichandran Cuong Tran Sara Hooker Ferdinando Fioretto 249 5 0 06 Dec 2023
FRAPPE: A Group Fairness Framework for Post-Processing EverythingInternational Conference on Machine Learning (ICML), 2023 Alexandru Tifrea Preethi Lahoti Ben Packer Yoni Halpern Ahmad Beirami Flavien Prost 332 13 0 05 Dec 2023
Removing Biases from Molecular Representations via Information Maximization Chenyu Wang Sharut Gupta Caroline Uhler Tommi Jaakkola 283 7 0 01 Dec 2023
SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering Jiazhi Li Mahyar Khayatkhoei Jiageng Zhu Hanchen Xie Mohamed E. Hussein Wael AbdAlmageed 185 3 0 13 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating ComponentsInternational Conference on Learning Representations (ICLR), 2023 Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Kun Zhang 294 3 0 05 Nov 2023
Equal Opportunity of Coverage in Fair RegressionNeural Information Processing Systems (NeurIPS), 2023 Fangxin Wang Lu Cheng Ruocheng Guo Kay Liu Philip S. Yu 363 18 0 03 Nov 2023