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Fairness

Papers

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Showing 2951–3000 of 5676 papers

TitleStatusHype
Bias Evaluation and Mitigation in Retrieval-Augmented Medical Question-Answering Systems—0
Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains—0
Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors—0
Evaluating Fair Feature Selection in Machine Learning for Healthcare—0
Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data—0
Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias Audits, and Challenges—0
Public Perceptions of Fairness Metrics Across Borders—0
Evaluating Fairness Metrics in the Presence of Dataset Bias—0
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information—0
Evaluating Gender Bias in Hindi-English Machine Translation—0
Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models—0
Evaluating Gender, Racial, and Age Biases in Large Language Models: A Comparative Analysis of Occupational and Crime Scenarios—0
Evaluating how LLM annotations represent diverse views on contentious topics—0
Evaluating LLMs for Gender Disparities in Notable Persons—0
Evaluating Machine Learning-based Skin Cancer Diagnosis—0
Evaluating Proposed Fairness Models for Face Recognition Algorithms—0
Evaluating Search System Explainability with Psychometrics and Crowdsourcing—0
Evaluating Team Skill Aggregation in Online Competitive Games—0
Evaluating the Economic Implications of Using Machine Learning in Clinical Psychiatry—0
Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling—0
Evaluating the Fairness Impact of Differentially Private Synthetic Data—0
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis—0
Evaluating the fairness of fine-tuning strategies in self-supervised learning—0
Evaluating the Fairness of Neural Collapse in Medical Image Classification—0
Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit—0
Evaluating the Performance of Nigerian Lecturers using Multilayer Perceptron—0
Evaluating the Promise and Pitfalls of LLMs in Hiring Decisions—0
Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility—0
Evaluation Framework for AI Systems in "the Wild"—0
Evaluation of Fairness Trade-offs in Predicting Student Success—0
Evaluation of group fairness measures in student performance prediction problems—0
Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data—0
Everything is Relative: Understanding Fairness with Optimal Transport—0
Evidence-based explanation to promote fairness in AI systems—0
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations—0
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams—0
Evolutionary Reinforcement Learning: A Systematic Review and Future Directions—0
EXAGREE: Towards Explanation Agreement in Explainable Machine Learning—0
Examining Imbalance Effects on Performance and Demographic Fairness of Clinical Language Models—0
Examining risks of racial biases in NLP tools for child protective services—0
Examining the Interplay Between Privacy and Fairness for Speech Processing: A Review and Perspective—0
Example-based Explanations for Random Forests using Machine Unlearning—0
ExCalibR: Expected Calibration of Recommendations—0
Exchanging Lessons Between Algorithmic Fairness and Domain Generalization—0
Experimental Studies in General Game Playing: An Experience Report—0
Expert-Guided Extinction of Toxic Tokens for Debiased Generation—0
Expert-Like Reparameterization of Heterogeneous Pyramid Receptive Fields in Efficient CNNs for Fair Medical Image Classification—0
Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education—0
Explainability-Driven Quality Assessment for Rule-Based Systems—0
Explainability for fair machine learning—0
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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