SOTAVerified

Fairness

Papers

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Showing 4876–4900 of 5676 papers

TitleStatusHype
Curse of "Low" Dimensionality in Recommender Systems—0
CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning—0
DACSR: Decoupled-Aggregated End-to-End Calibrated Sequential Recommendation—0
DADI: Dynamic Discovery of Fair Information with Adversarial Reinforcement Learning—0
Dancing in the Shadows: Harnessing Ambiguity for Fairer Classifiers—0
Data Acquisition for Improving Model Fairness using Reinforcement Learning—0
Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset—0
Data Augmentation for Personal Knowledge Base Population—0
Data Augmentation via Diffusion Model to Enhance AI Fairness—0
Data Augmentation via Subgroup Mixup for Improving Fairness—0
Data Bias Management—0
Data Cleaning for Accurate, Fair, and Robust Models: A Big Data - AI Integration Approach—0
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective—0
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations—0
Data-Driven Combined Central and Distributed Volt/Var Control in Active Distribution Networks—0
Data-driven Distributed Control to Scale EV Integration into Power Grid—0
Data-driven, Internet-inspired, and Scalable EV Charging for Power Distribution Grid—0
Data Generation via Latent Factor Simulation for Fairness-aware Re-ranking—0
Data Justice in Practice: A Guide for Developers—0
Data Management for Causal Algorithmic Fairness—0
Data Obfuscation through Latent Space Projection (LSP) for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection—0
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models—0
Data Preparation for Fairness-Performance Trade-Offs: A Practitioner-Friendly Alternative?—0
Data Privacy and Trustworthy Machine Learning—0
Data Readiness for AI: A 360-Degree Survey—0
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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