SOTAVerified

Fairness

Papers

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Showing 2976–3000 of 5676 papers

TitleStatusHype
Power Allocation in Cache-Aided NOMA Systems: Optimization and Deep Reinforcement Learning Approaches—0
Power Control for Multigroup Multicast Cell-Free Massive MIMO Downlink—0
Practical Adversarial Attacks Against AI-Driven Power Allocation in a Distributed MIMO Network—0
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes—0
Practical Bias Mitigation through Proxy Sensitive Attribute Label Generation—0
Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems—0
Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design—0
PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities—0
Precision psychiatry: predicting predictability—0
Precoder Learning for Weighted Sum Rate Maximization—0
Predictability and Fairness in Load Aggregation and Operations of Virtual Power Plants—0
Predictability and Fairness in Load Aggregation with Deadband—0
Predictability and Fairness in Social Sensing—0
(Predictable) Performance Bias in Unsupervised Anomaly Detection—0
Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations—0
Predicting Fairness of ML Software Configurations—0
Predicting Treatment Adherence of Tuberculosis Patients at Scale—0
Prediction Instability in Machine Learning Ensembles—0
Prediction Sensitivity: Continual Audit of Counterfactual Fairness in Deployed Classifiers—0
Predictive Heterogeneity: Measures and Applications—0
Predict Responsibly: Increasing Fairness by Learning to Defer—0
Preference-Informed Fairness—0
Preserving Fairness in AI under Domain Shift—0
Preserving Task-Relevant Information Under Linear Concept Removal—0
Pretrained AI Models: Performativity, Mobility, and Change—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