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Fairness

Papers

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Showing 1601–1625 of 5676 papers

TitleStatusHype
To which reference class do you belong? Measuring racial fairness of reference classes with normative modelingCode0
Achieving interpretable machine learning by functional decomposition of black-box models into explainable predictor effects—0
FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications—0
Ontology of Belief Diversity: A Community-Based Epistemological Approach—0
Machine Learning for Fairness-Aware Load Shedding: A Real-Time Solution via Identifying Binding Constraints—0
Long-term Fairness in Ride-Hailing Platform—0
Exploring Bengali Religious Dialect Biases in Large Language Models with Evaluation Perspectives—0
Hidden or Inferred: Fair Learning-To-Rank with Unknown DemographicsCode0
Dataset Distribution Impacts Model Fairness: Single vs. Multi-Task Learning—0
Open Challenges on Fairness of Artificial Intelligence in Medical Imaging Applications—0
Multimodal Machine Learning in Mental Health: A Survey of Data, Algorithms, and Challenges—0
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and FairnessCode0
Articulation Work and Tinkering for Fairness in Machine Learning—0
Merit-based Fair Combinatorial Semi-Bandit with Unrestricted Feedback DelaysCode0
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated LearningCode0
Implementing Fairness in AI Classification: The Role of Explainability—0
FairViT: Fair Vision Transformer via Adaptive MaskingCode0
Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution—0
Score Normalization for Demographic Fairness in Face Recognition—0
AI for All: Identifying AI incidents Related to Diversity and Inclusion—0
Reexamining Racial Disparities in Automatic Speech Recognition Performance: The Role of Confounding by Provenance—0
Justified Fairness in House Allocation Problems: two Characterizations of Strategy-proof Mechanisms—0
Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based Undersampling Method for Bias Reduction—0
Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset—0
Synthetic Counterfactual Faces—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