SOTAVerified

Fairness

Papers

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Showing 1901–1925 of 5676 papers

TitleStatusHype
Exploring the Unfairness of DP-SGD Across Settings—0
Exploring unfairness in Integrated Gradients based attribution methods—0
Explainability for identification of vulnerable groups in machine learning models—0
Exploring Welfare Maximization and Fairness in Participatory Budgeting—0
Exponential Structure of Income Inequality: Evidence from 67 Countries—0
Exposing Product Bias in LLM Investment Recommendation—0
Explainability for fair machine learning—0
Cali3F: Calibrated Fast Fair Federated Recommendation System—0
An Overview of Large Language Models for Statisticians—0
Extracting Fairness Policies from Legal Documents—0
FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling—0
AestheticNet: Reducing bias in facial data sets under ethical considerations—0
Explainability-Driven Quality Assessment for Rule-Based Systems—0
Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education—0
Expert-Like Reparameterization of Heterogeneous Pyramid Receptive Fields in Efficient CNNs for Fair Medical Image Classification—0
Expert-Guided Extinction of Toxic Tokens for Debiased Generation—0
An Overview of Fairness in Data – Illuminating the Bias in Data Pipeline—0
Experimental Studies in General Game Playing: An Experience Report—0
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement—0
Exchanging Lessons Between Algorithmic Fairness and Domain Generalization—0
CADS: Core-Aware Dynamic Scheduler for Multicore Memory Controllers—0
Fair Active Learning: Solving the Labeling Problem in Insurance—0
ExCalibR: Expected Calibration of Recommendations—0
Example-based Explanations for Random Forests using Machine Unlearning—0
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated 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