SOTAVerified

Fairness

Papers

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Showing 851–875 of 5676 papers

TitleStatusHype
A Directional Rockafellar-Uryasev Regression—0
The Intersectionality Problem for Algorithmic Fairness—0
Fair and Welfare-Efficient Constrained Multi-matchings under UncertaintyCode0
EXAGREE: Towards Explanation Agreement in Explainable Machine Learning—0
Fairness-Utilization Trade-off in Wireless Networks with Explainable Kolmogorov-Arnold Networks—0
Degradation-Infused Energy Portfolio Allocation Framework: Risk-Averse Fair Storage Participation—0
Reducing Biases in Record Matching Through Scores CalibrationCode0
Federated Learning with Relative Fairness—0
Relax and Merge: A Simple Yet Effective Framework for Solving Fair k-Means and k-sparse Wasserstein Barycenter Problems—0
FEED: Fairness-Enhanced Meta-Learning for Domain Generalization—0
Constrained Sampling with Primal-Dual Langevin Monte CarloCode0
Benchmarking Bias in Large Language Models during Role-Playing—0
BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks—0
Identifying Implicit Social Biases in Vision-Language Models—0
AI-based traffic analysis in digital twin networks—0
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective—0
Monitoring fairness in machine learning models that predict patient mortality in the ICU—0
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training—0
Proportional Fairness in Non-Centroid Clustering—0
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations—0
Multi-Agent Large Language Models for Conversational Task-SolvingCode2
Thoughtful Adoption of NLP for Civic Participation: Understanding Differences Among Policymakers—0
Demand-Aware Beam Hopping and Power Allocation for Load Balancing in Digital Twin empowered LEO Satellite Networks—0
Saliency-Based diversity and fairness Metric and FaceKeepOriginalAugment: A Novel Approach for Enhancing Fairness and Diversity—0
FGCE: Feasible Group Counterfactual Explanations for Auditing Fairness—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