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Fairness

Papers

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Showing 1351–1400 of 5676 papers

TitleStatusHype
First-Person Fairness in Chatbots—0
FairGLVQ: Fairness in Partition-Based ClassificationCode0
Fair Clustering for Data Summarization: Improved Approximation Algorithms and Complexity Insights—0
Using Protected Attributes to Consider Fairness in Multi-Agent Systems—0
Hairmony: Fairness-aware hairstyle classification—0
Bias Similarity Across Large Language Models—0
Towards Fair Graph Representation Learning in Social Networks—0
MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes BenchmarkCode0
Improving Bias in Facial Attribute Classification: A Combined Impact of KL Divergence induced Loss Function and Dual Attention—0
The Fair Language Model Paradox—0
Measuring Spiritual Values and Bias of Large Language Models—0
Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings using Spine MRI data—0
One Language, Many Gaps: Evaluating Dialect Fairness and Robustness of Large Language Models in Reasoning TasksCode0
Gender Bias of LLM in Economics: An Existentialism Perspective—0
Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models?—0
Facial Width-to-Height Ratio Does Not Predict Self-Reported Behavioral Tendencies—0
A New Perspective to Boost Performance Fairness for Medical Federated LearningCode0
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine LearningCode0
Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains—0
DemoShapley: Valuation of Demonstrations for In-Context Learning—0
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users—0
RAB^2-DEF: Dynamic and explainable defense against adversarial attacks in Federated Learning to fair poor clients—0
A Unified Debiasing Approach for Vision-Language Models across Modalities and TasksCode0
What is Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias—0
Active Fourier Auditor for Estimating Distributional Properties of ML Models—0
Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games—0
VHELM: A Holistic Evaluation of Vision Language Models—0
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated LearningCode0
MedImageInsight: An Open-Source Embedding Model for General Domain Medical ImagingCode0
PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning—0
Collusion Detection with Graph Neural Networks—0
Stochastic Bandits for Egalitarian Assignment—0
Skin Cancer Machine Learning Model Tone Bias—0
Fair-OBNC: Correcting Label Noise for Fairer DatasetsCode0
Ethical Leadership in the Age of AI Challenges, Opportunities and Framework for Ethical Leadership—0
Sparse Repellency for Shielded Generation in Text-to-image Diffusion Models—0
Uncertainty-Aware Fairness-Adaptive Classification Trees—0
FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applications—0
Towards an Operational Responsible AI Framework for Learning Analytics in Higher Education—0
GLEE: A Unified Framework and Benchmark for Language-based Economic EnvironmentsCode0
FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome PredictionCode0
Rules, Cases, and Reasoning: Positivist Legal Theory as a Framework for Pluralistic AI Alignment—0
Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation—0
Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group AnnotationCode0
Social Choice for Heterogeneous Fairness in Recommendation—0
Collapsed Language Models Promote FairnessCode0
Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks—0
Group Fairness in Peer Review—0
Towards TMA-Based Transmissive RIS Transceiver Enabled Downlink Communication Networks: A Consensus-ADMM Approach—0
A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future ResearchCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.86—Unverified
21D-CSNNPredictive Equality (age)97.8—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)96.87—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.97—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.45—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.68—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.31—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)0.49—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)6.26—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)1.96—Unverified