SOTAVerified

Fairness

Papers

Showing 55515575 of 5676 papers

TitleStatusHype
Assessing Disparate Impacts of Personalized Interventions: Identifiability and BoundsCode0
Assessing Disparate Impact of Personalized Interventions: Identifiability and BoundsCode0
FAWOS: Fairness-Aware Oversampling Algorithm Based on Distributions of Sensitive AttributesCode0
Fairly Constricted Multi-Objective Particle Swarm OptimizationCode0
FDGATII : Fast Dynamic Graph Attention with Initial Residual and Identity MappingCode0
Systematic analysis of the impact of label noise correction on ML FairnessCode0
Path-Specific Causal Reasoning for Fairness-aware Cognitive DiagnosisCode0
Feature and Label Embedding Spaces Matter in Addressing Image Classifier BiasCode0
The Unfairness of Active Users and Popularity Bias in Point-of-Interest RecommendationCode0
Features or Spurious Artifacts? Data-centric Baselines for Fair and Robust Hate Speech DetectionCode0
Assessing Demographic Bias Transfer from Dataset to Model: A Case Study in Facial Expression RecognitionCode0
Continuous Management of Machine Learning-Based Application BehaviorCode0
ALUE: Arabic Language Understanding EvaluationCode0
MANI-Rank: Multiple Attribute and Intersectional Group Fairness for Consensus RankingCode0
Bayes-Optimal Classifiers under Group FairnessCode0
debiaSAE: Benchmarking and Mitigating Vision-Language Model BiasCode0
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information LeakageCode0
Coresets for Clustering with Fairness ConstraintsCode0
Federated Fairness Analytics: Quantifying Fairness in Federated LearningCode0
Systematic Evaluation of Predictive FairnessCode0
Convex Formulations for Fair Principal Component AnalysisCode0
Federated Learning Meets Fairness and Differential PrivacyCode0
Who Does the Giant Number Pile Like Best: Analyzing Fairness in Hiring ContextsCode0
Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on ConvergenceCode0
Contexts Matter: An Empirical Study on Contextual Influence in Fairness Testing for Deep Learning SystemsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.86Unverified
21D-CSNNPredictive Equality (age)97.8Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)96.87Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.97Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.45Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.68Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.31Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)0.49Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)6.26Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)1.96Unverified