SOTAVerified

Fairness

Papers

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Showing 3576–3600 of 5676 papers

TitleStatusHype
FARMUR: Fair Adversarial Retraining to Mitigate Unfairness in Robustness—0
FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint—0
Fast and Examination-agnostic Reciprocal Recommendation in Matching Markets—0
Fast & Fair: Efficient Second-Order Robust Optimization for Fairness in Machine Learning—0
Fast Feature Selection with Fairness Constraints—0
Fast Federated Edge Learning with Overlapped Communication and Computation and Channel-Aware Fair Client Scheduling—0
Fast MNAS: Uncertainty-aware Neural Architecture Search with Lifelong Learning—0
Fast online ranking with fairness of exposure—0
Fast solution to the fair ranking problem using the Sinkhorn algorithm—0
FATE in AI: Towards Algorithmic Inclusivity and Accessibility—0
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems—0
Fault Diagnosis of Discrete-Event Systems under Non-Deterministic Observations with Output Fairness—0
Fault Tolerance of Neural Networks in Adversarial Settings—0
fAux: Testing Individual Fairness via Gradient Alignment—0
Favoring Eagerness for Remaining Items: Designing Efficient, Fair, and Strategyproof Mechanisms—0
"Favoring my playmate seems fair": Inhibitory control and theory of mind in preschoolers' self-disadvantaging behaviors—0
When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks—0
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts—0
Feature-based Individual Fairness in k-Clustering—0
FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation—0
FedCRL: Personalized Federated Learning with Contrastive Shared Representations for Label Heterogeneity in Non-IID Data—0
FedD2S: Personalized Data-Free Federated Knowledge Distillation—0
FedDriveScore: Federated Scoring Driving Behavior with a Mixture of Metric Distributions—0
FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning—0
Entropy-driven Fair and Effective Federated 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