SOTAVerified

Fairness

Papers

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Showing 4726–4750 of 5676 papers

TitleStatusHype
ChatGPT: The End of Online Exam Integrity?—0
Cherry on the Cake: Fairness is NOT an Optimization Problem—0
CH-MARL: Constrained Hierarchical Multiagent Reinforcement Learning for Sustainable Maritime Logistics—0
Choosing an algorithmic fairness metric for an online marketplace: Detecting and quantifying algorithmic bias on LinkedIn—0
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective—0
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness—0
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability—0
Clean-image Backdoor Attacks—0
Client Selection in Federated Learning: Principles, Challenges, and Opportunities—0
Client Selection Strategies for Federated Semantic Communications in Heterogeneous IoT Networks—0
Clinical trial site matching with improved diversity using fair policy learning—0
Closing the AI Knowledge Gap—0
Closing the Gap in the Trade-off between Fair Representations and Accuracy—0
Cluster-level Group Representativity Fairness in k-means Clustering—0
Coarse Set Theory for AI Ethics and Decision-Making: A Mathematical Framework for Granular Evaluations—0
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation—0
Cognitive Models as Simulators: The Case of Moral Decision-Making—0
Cohort-attention Evaluation Metric against Tied Data: Studying Performance of Classification Models in Cancer Detection—0
Collaborative Honeypot Defense in UAV Networks: A Learning-Based Game Approach—0
Collaborative Machine Learning with Incentive-Aware Model Rewards—0
Collaborative Policy Learning for Dynamic Scheduling Tasks in Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning—0
Collective decisions under uncertainty: efficiency, ex-ante fairness, and normalization—0
College Student Retention Risk Analysis From Educational Database using Multi-Task Multi-Modal Neural Fusion—0
Collision Cross-entropy for Soft Class Labels and Deep Clustering—0
Collusion Detection with Graph Neural Networks—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