SOTAVerified

Fairness

Papers

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Showing 1051–1075 of 5676 papers

TitleStatusHype
CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning—0
Are generative models fair? A study of racial bias in dermatological image generation—0
Collaborative Channel Access and Transmission for NR Sidelink and Wi-Fi Coexistence over Unlicensed Spectrum—0
Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study—0
Fairness Testing through Extreme Value Theory—0
Multilinguality in LLM-Designed Reward Functions for Restless Bandits: Effects on Task Performance and Fairness—0
Measuring Fairness in Financial Transaction Machine Learning Models—0
Distributed Quasi-Newton Method for Fair and Fast Federated Learning—0
U-Fair: Uncertainty-based Multimodal Multitask Learning for Fairer Depression Detection—0
AI in Support of Diversity and Inclusion—0
Artificial Intelligence-Driven Clinical Decision Support Systems—0
Analyzing the Ethical Logic of Six Large Language Models—0
FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware ClassificationCode0
Uncovering Bias in Foundation Models: Impact, Testing, Harm, and MitigationCode0
The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation—0
Enhanced SPS Velocity-adaptive Scheme: Access Fairness in 5G NR V2I NetworksCode0
Mitigating Algorithmic Bias in Multiclass CNN Classifications Using Causal Modeling—0
Reducing Latency by Eliminating CSIT Feedback: FDD Downlink MIMO Precoding Without CSIT Feedback for Internet-of-Things Communications—0
Foundation Models at Work: Fine-Tuning for Fairness in Algorithmic HiringCode0
Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences—0
DVM: Towards Controllable LLM Agents in Social Deduction Games—0
Procedural Fairness and Its Relationship with Distributive Fairness in Machine LearningCode0
Resource Allocation under the Latin Square Constraint—0
Recommending the right academic programs: An interest mining approach using BERTopic—0
Assessing instructor-AI cooperation for grading essay-type questions in an introductory sociology courseCode0
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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