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Fairness

Papers

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Showing 3451–3500 of 5676 papers

TitleStatusHype
Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems—0
Fairness Shields: Safeguarding against Biased Decision Makers—0
Fairness Testing of Deep Image Classification with Adequacy Metrics—0
Fairness Testing: Testing Software for Discrimination—0
Fairness Testing through Extreme Value Theory—0
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data—0
Fairness Through Computationally-Bounded Awareness—0
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery—0
Fairness through Equality of Effort—0
Fairness through Social Welfare Optimization—0
Fairness Through Regularization for Learning to Rank—0
Fairness Uncertainty Quantification: How certain are you that the model is fair?—0
Fairness under Competition—0
Fairness Under Composition—0
Fairness Under Feature Exemptions: Counterfactual and Observational Measures—0
Fair Machine Learning Under Partial Compliance—0
Fairness-Utilization Trade-off in Wireless Networks with Explainable Kolmogorov-Arnold Networks—0
Fairness via Adversarial Attribute Neighbourhood Robust Learning—0
Fairness via AI: Bias Reduction in Medical Information—0
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations—0
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale—0
Fairness via Representation Neutralization—0
Fairness Vs. Personalization: Towards Equity in Epistemic Utility—0
Fairness, Welfare, and Equity in Personalized Pricing—0
Fairness with Continuous Optimal Transport—0
Fairness With Minimal Harm: A Pareto-Optimal Approach For Healthcare—0
Fairness Without Demographics in Human-Centered Federated Learning—0
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values—0
Fairness without Regret—0
Fairness with Overlapping Groups—0
Fairness with Overlapping Groups; a Probabilistic Perspective—0
Fairness with Wasserstein Adversarial Networks—0
Fair NLP Models with Differentially Private Text Encoders—0
Fair Node Representation Learning via Adaptive Data Augmentation—0
FairNorm: Fair and Fast Graph Neural Network Training—0
FAIRO: Fairness-aware Adaptation in Sequential-Decision Making for Human-in-the-Loop Systems—0
Fair Off-Policy Learning from Observational Data—0
Fair Online Bilateral Trade—0
Fair Outlier Detection—0
Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based Undersampling Method for Bias Reduction—0
Fair Oversampling Technique using Heterogeneous Clusters—0
Fair Patient Model: Mitigating Bias in the Patient Representation Learned from the Electronic Health Records—0
Fair Performance Metric Elicitation—0
FairPFN: Transformers Can do Counterfactual Fairness—0
FairPilot: An Explorative System for Hyperparameter Tuning through the Lens of Fairness—0
Fair Pipelines—0
FairPlay: A Collaborative Approach to Mitigate Bias in Datasets for Improved AI Fairness—0
Fair Play in the Fast Lane: Integrating Sportsmanship into Autonomous Racing Systems—0
Fair Policy Targeting—0
Fair Polylog-Approximate Low-Cost Hierarchical Clustering—0
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All datasetsBAF – BaseBAF – Variant IBAF – Variant IIBAF – Variant IIIBAF – Variant IVBAF – Variant VDiveFaceMORPHUTKFace

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