Papers citing 'Fairness in Machine Learning: A Survey'

Title
Investigating the Relationship Between Debiasing and Artifact Removal using Saliency Maps Lukasz Sztukiewicz Ignacy Stepka Michał Wiliński Jerzy Stefanowski 363 0 0 28 Feb 2025
Testing for Causal Fairness Jiarun Fu LiZhong Ding Pengqi Li Qiuning Wei Yurong Cheng Xu Chen 251 0 0 18 Feb 2025
Targeted Learning for Data Fairness Alexander Asemota Giles Hooker FaML 341 0 0 06 Feb 2025
Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representationConference on Fairness, Accountability and Transparency (FAccT), 2025 Estanislao Claucich Sara Hooker Diego H. Milone Enzo Ferrante Rodrigo Echeveste FedML 209 2 0 24 Jan 2025
A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility ServicesAmerican Control Conference (ACC), 2024 Luca Vittorio Piron Matteo Cederle Marina Ceccon Federico Chiariotti Alessandro Fabris Marco Fabris Gian Antonio Susto 292 1 0 20 Jan 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing Jitao Wang C. Shi John D. Piette Joshua R. Loftus Donglin Zeng Zhenke Wu OffRL 412 2 0 10 Jan 2025
BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Nurit Cohen-Inger Seffi Cohen Neomi Rabaev Lior Rokach Bracha Shapira 153 2 0 07 Jan 2025
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data Adam Wang Son Nguyen A. Montillo FedML 208 2 0 31 Dec 2024
Fair and Accurate Regression: Strong Formulations and Algorithms Anna Deza Andrés Gómez Alper Atamturk FaML 289 0 0 22 Dec 2024
Towards Efficient and Explainable Hate Speech Detection via Model DistillationEuropean Conference on Information Retrieval (ECIR), 2024 Paloma Piot Javier Parapar 325 162 0 18 Dec 2024
Improving LLM Group Fairness on Tabular Data via In-Context Learning Valeriia Cherepanova Chia-Jung Lee Nil-Jana Akpinar Riccardo Fogliato Martín Bertrán Michael Kearns James Zou LMTD 348 4 0 05 Dec 2024
Data Acquisition for Improving Model Fairness using Reinforcement Learning Jahid Hasan Romila Pradhan 158 0 0 04 Dec 2024
FairDD: Fair Dataset Distillation Qihang Zhou Shenhao Fang Shibo He Wenchao Meng Jiming Chen FedML DD 509 1 0 29 Nov 2024
Understanding Fairness-Accuracy Trade-offs in Machine Learning Models: Does Promoting Fairness Undermine Performance? Junhua Liu Roy Ka-wei Lee Roy Ka-wei Lee FaML 296 0 0 26 Nov 2024
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 253 0 0 14 Nov 2024
Properties of fairness measures in the context of varying class imbalance and protected group ratiosACM Transactions on Knowledge Discovery from Data (TKDD), 2024 D. Brzezinski Julia Stachowiak Jerzy Stefanowski Izabela Szczech R. Susmaga Sofya Aksenyuk Uladzimir Ivashka Oleksandr Yasinskyi 334 7 0 13 Nov 2024
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning Caleb J. S. Barr Olivia Erdelyi Paul D. Docherty Randolph C. Grace FaML 417 0 0 10 Nov 2024
Counterfactual explainability and analysis of variance Zijun Gao Qingyuan Zhao CML 154 0 0 03 Nov 2024
FACEGroup: Feasible and Actionable Counterfactual Explanations for Group Fairness Christos Fragkathoulas Vasiliki Papanikou E. Pitoura Evimaria Terzi 194 0 0 29 Oct 2024
Less Discriminatory Alternative and Interpretable XGBoost Framework for Binary Classification Andrew Pangia Agus Sudjianto Aijun Zhang Taufiquar Khan FaML 113 3 0 24 Oct 2024
WASP: A Weight-Space Approach to Detecting Learned Spuriousness Cristian Daniel Păduraru Antonio Bărbălău Radu Filipescu Andrei Liviu Nicolicioiu Elena Burceanu 235 0 0 24 Oct 2024
Revisiting Technical Bias Mitigation StrategiesAnnual Review of Biomedical Data Science (ARBDS), 2024 Abdoul Jalil Djiberou Mahamadou Artem A. Trotsyuk 210 2 0 22 Oct 2024
The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Chen Qian Dongrui Liu Jie Zhang Yong Liu Jing Shao 267 1 0 22 Oct 2024
Data Augmentation via Diffusion Model to Enhance AI Fairness Christina Hastings Blow Lijun Qian Camille Gibson Pamela Obiomon Xishuang Dong DiffM 142 6 0 20 Oct 2024
Cooperation and Fairness in Multi-Agent Reinforcement Learning Jasmine Jerry Aloor Siddharth Nayak Sydney I. Dolan H. Balakrishnan 143 4 0 19 Oct 2024
The Disparate Benefits of Deep Ensembles Kajetan Schweighofer Adrián Arnaiz-Rodríguez Sepp Hochreiter Nuria Oliver FedML 211 3 0 17 Oct 2024
A Comprehensive Survey and Classification of Evaluation Criteria for Trustworthy Artificial IntelligenceAI and Ethics (AI & Ethics), 2024 Louise McCormack Malika Bendechache XAI 237 7 0 10 Oct 2024
Achieving Fairness in Predictive Process Analytics via Adversarial Learning (Extended Version)International Conference on Cooperative Information Systems (CoopIS), 2024 Massimiliano de Leoni Alessandro Padella FaML 85 5 0 03 Oct 2024
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness Lucas Rosenblatt R. T. Witter FaML 259 1 0 02 Oct 2024
Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation Md Fahim Sikder Daniel de Leng Fredrik Heintz 194 1 0 02 Oct 2024
Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected AttributesAustralasian Data Mining Conference (AusDM), 2024 Manh Khoi Duong Stefan Conrad 75 6 0 01 Oct 2024
DREAMS: A python framework for Training Deep Learning Models on EEG Data with Model Card Reporting for Medical ApplicationsSoftwareX (SoftwareX), 2024 Rabindra Khadka Pedro G Lind Anis Yazidi Asma Belhadi SyDa 94 0 0 26 Sep 2024
ABCFair: an Adaptable Benchmark approach for Comparing Fairness MethodsNeural Information Processing Systems (NeurIPS), 2024 Marybeth Defrance Maarten Buyl Tijl De Bie 252 5 0 25 Sep 2024
AdapFair: Ensuring Adaptive Fairness for Machine Learning Operations Yinghui Huang Zihao Tang Xiangyu Chang FaML 172 0 0 23 Sep 2024
Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented GenerationInternational Conference on the Theory of Information Retrieval (ICTIR), 2024 To Eun Kim Fernando Diaz 558 7 0 17 Sep 2024
Fairness-Aware Estimation of Graphical ModelsNeural Information Processing Systems (NeurIPS), 2024 Zhuoping Zhou Davoud Ataee Tarzanagh Bojian Hou Qi Long Li Shen 173 3 0 30 Aug 2024
Fair Best Arm Identification with Fixed ConfidenceIEEE Conference on Decision and Control (CDC), 2024 Alessio Russo Filippo Vannella 216 0 0 30 Aug 2024
Prompt and Prejudice Lorenzo Berlincioni Luca Cultrera Federico Becattini Marco Bertini Marco Bertini 140 1 0 07 Aug 2024
Fairness and Bias Mitigation in Computer Vision: A Survey Sepehr Dehdashtian Ruozhen He Yi Li Guha Balakrishnan Nuno Vasconcelos Vicente Ordonez Vishnu Boddeti 301 11 0 05 Aug 2024
Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based Undersampling Method for Bias Reduction José Daniel Pascual-Triana Alberto Fernández Paulo Novais Francisco Herrera 122 0 0 19 Jul 2024
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders Lin Luo Yuri Nakao Mathieu Chollet Hiroya Inakoshi Simone Stumpf 291 3 0 16 Jul 2024
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models Ruinan Jin Zikang Xu Yuan Zhong Qiongsong Yao Qi Dou S. Kevin Zhou Xiaoxiao Li VLM 325 37 0 01 Jul 2024
Formalising Anti-Discrimination Law in Automated Decision Systems Holli Sargeant Måns Magnusson FaML 390 3 0 29 Jun 2024
Enforcing Equity in Neural Climate Emulators William Yik Sam J. Silva 137 2 0 28 Jun 2024
Aligning Model Properties via Conformal Risk Control William Overman Jacqueline Jil Vallon Mohsen Bayati 164 7 0 26 Jun 2024
Efficient k-means with Individual Fairness via Exponential Tilting Shengkun Zhu Jinshan Zeng Yuan Sun Sheng Wang Xiaodong Li Zhiyong Peng 209 0 0 24 Jun 2024
Fair Streaming Feature Selection Zhangling Duan Tianci Li Xingyu Wu Zhaolong Ling Jingye Yang Zhaohong Jia AI4TS 173 2 0 20 Jun 2024
On the Consistency of Fairness Measurement Methods for Regression Tasks Abdalwahab Almajed Maryam Tabar Peyman Najafirad 121 2 0 19 Jun 2024
AIM: Attributing, Interpreting, Mitigating Data Unfairness Zhining Liu Ruizhong Qiu Zhichen Zeng Yada Zhu Hendrik Hamann Hanghang Tong FaML 203 10 0 13 Jun 2024
Fairness-Aware Meta-Learning via Nash Bargaining Yi Zeng Xuelin Yang Li Chen Cristian Canton Ferrer Ming Jin Michael I. Jordan Ruoxi Jia 195 4 0 11 Jun 2024