SOTAVerified

Fairness

Papers

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Showing 3651–3675 of 5676 papers

TitleStatusHype
Specifying and Testing k-Safety Properties for Machine-Learning ModelsCode0
Learning Feature Disentanglement and Dynamic Fusion for Recaptured Image Forensic—0
Bounding and Approximating Intersectional Fairness through Marginal FairnessCode0
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement LearningCode0
Improved Approximation for Fair Correlation ClusteringCode0
Individually Fair Learning with One-Sided Feedback—0
Comprehensive Fair Meta-learned Recommender SystemCode0
A Survey on the Fairness of Recommender Systems—0
How unfair is private learning ?—0
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models—0
Efficient Resource Allocation with Fairness Constraints in Restless Multi-Armed Bandits—0
Fair Classification via Domain Adaptation: A Dual Adversarial Learning ApproachCode0
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning—0
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective—0
Group privacy for personalized federated learning—0
Group Meritocratic Fairness in Linear Contextual BanditsCode0
Fairness and Unfairness in Binary and Multiclass Classification: Quantifying, Calculating, and BoundingCode0
Recent Advances in Bayesian Optimization—0
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial LearningCode0
EiX-GNN : Concept-level eigencentrality explainer for graph neural networksCode0
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data—0
A Human-Centric Take on Model Monitoring—0
Towards Responsible AI for Financial Transactions—0
Enforcing Group Fairness in Algorithmic Decision Making: Utility Maximization Under SufficiencyCode0
(Im)possibility of Collective Intelligence—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