SOTAVerified

Fairness

Papers

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Showing 1901–1925 of 5676 papers

TitleStatusHype
The Impact of Differential Feature Under-reporting on Algorithmic Fairness—0
Achieve Fairness without Demographics for Dermatological Disease DiagnosisCode0
Fairness Concerns in App Reviews: A Study on AI-based Mobile Apps—0
Fairness-aware Photovoltaic Generation Limits for Voltage Regulation in Power Distribution Networks using Conservative Linear Approximations—0
A General Approach for Computing a Consensus in Group Decision Making That Integrates Multiple Ethical PrinciplesCode0
Data vs. Model Machine Learning Fairness Testing: An Empirical Study—0
Towards Engineering Fair and Equitable Software Systems for Managing Low-Altitude Airspace AuthorizationsCode0
Towards Responsible AI in Banking: Addressing Bias for Fair Decision-Making—0
FedDriveScore: Federated Scoring Driving Behavior with a Mixture of Metric Distributions—0
On the (In)Compatibility between Group Fairness and Individual FairnessCode0
Striking a Balance in Fairness for Dynamic Systems Through Reinforcement LearningCode0
An investigation of structures responsible for gender bias in BERT and DistilBERT—0
A Semantic-Aware Multiple Access Scheme for Distributed, Dynamic 6G-Based ApplicationsCode0
A Closer Look at AUROC and AUPRC under Class ImbalanceCode1
Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and GeneralizabilityCode0
Deep Learning Meets Mechanism Design: Key Results and Some Novel Applications—0
TrustLLM: Trustworthiness in Large Language ModelsCode4
INACIA: Integrating Large Language Models in Brazilian Audit Courts: Opportunities and Challenges—0
Unveiling Bias in Fairness Evaluations of Large Language Models: A Critical Literature Review of Music and Movie Recommendation Systems—0
A Large-Scale Empirical Study on Improving the Fairness of Image Classification ModelsCode0
Maintaining Journalistic Integrity in the Digital Age: A Comprehensive NLP Framework for Evaluating Online News Content—0
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning—0
Fair Sampling in Diffusion Models through Switching MechanismCode0
Adaptive Boosting with Fairness-aware Reweighting Technique for Fair Classification—0
Fairness-Aware Job Scheduling for Multi-Job Federated Learning—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