SOTAVerified

Fairness

Papers

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Showing 2976–3000 of 5676 papers

TitleStatusHype
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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All datasetsBAF – BaseBAF – Variant IBAF – Variant IIBAF – Variant IIIBAF – Variant IVBAF – Variant VDiveFaceMORPHUTKFace

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