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A Survey on Bias and Fairness in Machine Learning

A Survey on Bias and Fairness in Machine Learning

23 August 2019
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
    SyDa
    FaML
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Papers citing "A Survey on Bias and Fairness in Machine Learning"

50 / 1,604 papers shown
Title
pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning
pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning
Haoyu Lei
Shizhan Gong
Qi Dou
Farzan Farnia
FedML
59
0
0
19 Mar 2025
Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging Infrastructure
Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging Infrastructure
Fatemeh Dehrouyeh
I. Shaer
S. Nikan
F. Badrkhani Ajaei
Abdallah Shami
55
0
0
19 Mar 2025
Do Vision Models Develop Human-Like Progressive Difficulty Understanding?
Do Vision Models Develop Human-Like Progressive Difficulty Understanding?
Zeyi Huang
Utkarsh Ojha
Yuyang Ji
Donghyun Lee
Yong Jae Lee
OOD
VLM
Presented at ResearchTrend Connect | VLM on 07 May 2025
96
0
1
17 Mar 2025
HInter: Exposing Hidden Intersectional Bias in Large Language Models
HInter: Exposing Hidden Intersectional Bias in Large Language Models
Badr Souani
E. Soremekun
Mike Papadakis
Setsuko Yokoyama
Sudipta Chattopadhyay
Yves Le Traon
41
0
0
15 Mar 2025
Prompt Sentiment: The Catalyst for LLM Change
Prompt Sentiment: The Catalyst for LLM Change
Vishal Gandhi
Sagar Gandhi
44
1
0
14 Mar 2025
Rethinking Prompt-based Debiasing in Large Language Models
Xinyi Yang
Runzhe Zhan
Derek F. Wong
Shu Yang
Junchao Wu
Lidia S. Chao
ALM
60
1
0
12 Mar 2025
A Comprehensive Review on Understanding the Decentralized and Collaborative Approach in Machine Learning
S. Saif
Md Jahirul Islam
Md. Zihad Bin Jahangir
Parag Biswas
Abdur Rashid
Md Abdullah Al Nasim
Kishor Datta Gupta
51
0
0
12 Mar 2025
Exploring Bias in over 100 Text-to-Image Generative Models
J. Vice
Naveed Akhtar
Richard I. Hartley
Ajmal Saeed Mian
EGVM
67
3
0
11 Mar 2025
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement
Chenrui Ma
Rongchang Zhao
Xi Xiao
Hongyang Xie
Tianyang Wang
X. Wang
H. M. Zhang
Yanning Shen
55
1
0
11 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
43
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
148
0
0
10 Mar 2025
The influence of missing data mechanisms and simple missing data handling techniques on fairness
Aeysha Bhatti
Trudie Sandrock
Johane Nienkemper-Swanepoel
FaML
71
0
0
10 Mar 2025
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
Xubin Wang
Zhiqing Tang
Jianxiong Guo
Tianhui Meng
Chenhao Wang
Tian-sheng Wang
Weijia Jia
50
0
0
08 Mar 2025
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers
Huan Tian
Guangsheng Zhang
Bo Liu
Tianqing Zhu
Ming Ding
Wanlei Zhou
48
0
0
08 Mar 2025
Fairness-Aware Low-Rank Adaptation Under Demographic Privacy Constraints
Parameswaran Kamalaruban
Mark Anderson
Stuart Burrell
Maeve Madigan
Piotr Skalski
David Sutton
52
0
0
07 Mar 2025
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data
Zengqun Zhao
Ziquan Liu
Yu Cao
Shaogang Gong
Ioannis Patras
50
0
0
07 Mar 2025
Guiding LLMs to Generate High-Fidelity and High-Quality Counterfactual Explanations for Text Classification
Van Bach Nguyen
C. Seifert
Jorg Schlotterer
BDL
63
0
0
06 Mar 2025
Biased Heritage: How Datasets Shape Models in Facial Expression Recognition
Iris Dominguez-Catena
D. Paternain
M. Galar
Marybeth Defrance
Maarten Buyl
Tijl De Bie
61
0
0
05 Mar 2025
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data
Wentai Wu
Ligang He
Saiqin Long
Ahmed M. Abdelmoniem
Yingliang Wu
Rui Mao
55
0
0
05 Mar 2025
Towards Explainable Doctor Recommendation with Large Language Models
Ziyang Zeng
Dongyuan Li
Yuqing Yang
LM&MA
AI4TS
63
0
0
04 Mar 2025
STAR: Stability-Inducing Weight Perturbation for Continual Learning
Masih Eskandar
Tooba Imtiaz
Davin Hill
Zifeng Wang
Jennifer Dy
CLL
34
0
0
03 Mar 2025
Fairness and/or Privacy on Social Graphs
Bartlomiej Surma
Michael Backes
Yang Zhang
41
0
0
03 Mar 2025
Hidden Convexity of Fair PCA and Fast Solver via Eigenvalue Optimization
Junhui Shen
Aaron J. Davis
Ding Lu
Z. Bai
32
1
0
01 Mar 2025
Investigating the Relationship Between Debiasing and Artifact Removal using Saliency Maps
Investigating the Relationship Between Debiasing and Artifact Removal using Saliency Maps
Lukasz Sztukiewicz
Ignacy Stepka
Michał Wiliński
Jerzy Stefanowski
33
0
0
28 Feb 2025
Controlled Model Debiasing through Minimal and Interpretable Updates
Controlled Model Debiasing through Minimal and Interpretable Updates
Federico Di Gennaro
Thibault Laugel
Vincent Grari
Marcin Detyniecki
FaML
52
0
0
28 Feb 2025
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis
Li Yang
Mirna El Rajab
Abdallah Shami
Sami Muhaidat
73
6
0
28 Feb 2025
Towards Responsible AI in Education: Hybrid Recommendation System for K-12 Students Case Study
Towards Responsible AI in Education: Hybrid Recommendation System for K-12 Students Case Study
Nazarii Drushchak
Vladyslava Tyshchenko
Nataliya Polyakovska
47
0
0
27 Feb 2025
CS-PaperSum: A Large-Scale Dataset of AI-Generated Summaries for Scientific Papers
CS-PaperSum: A Large-Scale Dataset of AI-Generated Summaries for Scientific Papers
Javin Liu
Aryan Vats
Zihao He
34
0
0
27 Feb 2025
FinP: Fairness-in-Privacy in Federated Learning by Addressing Disparities in Privacy Risk
FinP: Fairness-in-Privacy in Federated Learning by Addressing Disparities in Privacy Risk
Tianyu Zhao
Mahmoud Srewa
Salma Elmalaki
93
1
0
25 Feb 2025
Sentiment analysis of texts from social networks based on machine learning methods for monitoring public sentiment
Sentiment analysis of texts from social networks based on machine learning methods for monitoring public sentiment
Arsen Tolebay Nurlanuly
41
1
0
24 Feb 2025
Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives
Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives
Dilermando Queiroz
Anderson Carlos
André Anjos
Lilian Berton
43
0
0
24 Feb 2025
Learning with Limited Shared Information in Multi-agent Multi-armed Bandit
Learning with Limited Shared Information in Multi-agent Multi-armed Bandit
Junning Shao
Siwei Wang
Zhixuan Fang
57
0
0
24 Feb 2025
The Impact of Inference Acceleration on Bias of LLMs
The Impact of Inference Acceleration on Bias of LLMs
Elisabeth Kirsten
Ivan Habernal
Vedant Nanda
Muhammad Bilal Zafar
36
0
0
20 Feb 2025
Balancing Innovation and Integrity: AI Integration in Liberal Arts College Administration
Ian Olivo Read
36
0
0
20 Feb 2025
Testing for Causal Fairness
Testing for Causal Fairness
Jiarun Fu
LiZhong Ding
Pengqi Li
Qiuning Wei
Yurong Cheng
Xu Chen
44
0
0
18 Feb 2025
Recent Advances in Malware Detection: Graph Learning and Explainability
Recent Advances in Malware Detection: Graph Learning and Explainability
Hossein Shokouhinejad
Roozbeh Razavi-Far
Hesamodin Mohammadian
Mahdi Rabbani
Samuel Ansong
Griffin Higgins
Ali Ghorbani
AAML
68
2
0
14 Feb 2025
Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing
Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing
Massimiliano Ciranni
Vito Paolo Pastore
Roberto Di Via
Enzo Tartaglione
Francesca Odone
Vittorio Murino
DiffM
100
0
0
13 Feb 2025
Model-Free Counterfactual Subset Selection at Scale
Model-Free Counterfactual Subset Selection at Scale
Minh Nguyen
Viet Hung Doan
Anh Tuan Nguyen
Jun Jo
Quoc Viet Hung Nguyen
LRM
49
0
0
12 Feb 2025
MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks
MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks
Lotfi Abdelkrim Mecharbat
Alberto Marchisio
Muhammad Shafique
M. Ghassemi
Tuka Alhanai
84
0
0
11 Feb 2025
From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems
From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems
Yining Hong
Christopher S. Timperley
Christian Kastner
98
1
0
11 Feb 2025
Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models
Peiran Wang
Linjie Tong
Jiaxiang Liu
Zuozhu Liu
VLM
MoE
41
0
0
10 Feb 2025
Fairness and Sparsity within Rashomon sets: Enumeration-Free Exploration and Characterization
Lucas Langlade
Julien Ferry
Gabriel Laberge
Thibaut Vidal
49
0
0
07 Feb 2025
A Tutorial On Intersectionality in Fair Rankings
Chiara Criscuolo
Davide Martinenghi
Giuseppe Piccirillo
FaML
70
0
0
07 Feb 2025
DECAF: Learning to be Fair in Multi-agent Resource Allocation
DECAF: Learning to be Fair in Multi-agent Resource Allocation
Ashwin Kumar
William Yeoh
84
1
0
06 Feb 2025
Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool
Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool
Floris Holstege
Mackenzie Jorgensen
Kirtan Padh
Jurriaan Parie
Joel Persson
Krsto Prorokovic
Lukas Snoek
100
0
0
03 Feb 2025
Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
Yuefan Cao
Xiaoyu Li
Yingyu Liang
Zhizhou Sha
Zhenmei Shi
Zhao-quan Song
Jiahao Zhang
85
7
0
02 Feb 2025
Memory-Efficient Fine-Tuning of Transformers via Token Selection
Memory-Efficient Fine-Tuning of Transformers via Token Selection
Antoine Simoulin
Namyong Park
Xiaoyi Liu
Grey Yang
110
0
0
31 Jan 2025
Graph Condensation: A Survey
Graph Condensation: A Survey
Xin Gao
Junliang Yu
Wei Jiang
Tong Chen
Wentao Zhang
Hongzhi Yin
DD
83
19
0
28 Jan 2025
AI-Driven Predictive Analytics Approach for Early Prognosis of Chronic Kidney Disease Using Ensemble Learning and Explainable AI
AI-Driven Predictive Analytics Approach for Early Prognosis of Chronic Kidney Disease Using Ensemble Learning and Explainable AI
K. M. T. Jawad
Anusha Verma
Fathi H. Amsaad
Lamia Ashraf
62
0
0
28 Jan 2025
Zero-Shot Decision Tree Construction via Large Language Models
Lucas Carrasco
Felipe Urrutia
Andrés Abeliuk
63
0
0
28 Jan 2025
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