SOTAVerified

Fairness

Papers

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Showing 2676–2700 of 5676 papers

TitleStatusHype
Fast & Fair: Efficient Second-Order Robust Optimization for Fairness in Machine Learning—0
Debiasing Graph Representation Learning based on Information Bottleneck—0
Fast Feature Selection with Fairness Constraints—0
Coarse Set Theory for AI Ethics and Decision-Making: A Mathematical Framework for Granular Evaluations—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
Fair Kernel Learning—0
FATE in AI: Towards Algorithmic Inclusivity and Accessibility—0
Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework—0
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems—0
Fair k-Centers via Maximum Matching—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
Cluster-level Group Representativity Fairness in k-means Clustering—0
Ad Auctions for LLMs via Retrieval Augmented Generation—0
DECAF: Learning to be Fair in Multi-agent Resource Allocation—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
DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models—0
Feature-based Individual Fairness in k-Clustering—0
A Scalable and Generalized Deep Learning Framework for Anomaly Detection in Surveillance Videos—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