SOTAVerified

Fairness

Papers

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Showing 1901–1950 of 5676 papers

TitleStatusHype
Predicting Fairness of ML Software Configurations—0
FALE: Fairness-Aware ALE Plots for Auditing Bias in Subgroups—0
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle—0
Bias Neutralization Framework: Measuring Fairness in Large Language Models with Bias Intelligence Quotient (BiQ)—0
Learning Fairer Representations with FairVIC—0
A Comparison of Differential Performance Metrics for the Evaluation of Automatic Speaker Verification Fairness—0
A Taxation Perspective for Fair Re-rankingCode0
FedCRL: Personalized Federated Learning with Contrastive Shared Representations for Label Heterogeneity in Non-IID Data—0
Lazy Data Practices Harm Fairness ResearchCode0
Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks—0
FairGT: A Fairness-aware Graph TransformerCode0
Algorithmic Fairness: A Tolerance Perspective—0
Conditional Fairness for Generative AIsCode0
mlr3summary: Concise and interpretable summaries for machine learning modelsCode0
Structured Reinforcement Learning for Delay-Optimal Data Transmission in Dense mmWave Networks—0
Joint operation of a fast-charging EV hub with a stand-alone independent battery storage system under fairness considerations—0
FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication—0
Sum of Group Error Differences: A Critical Examination of Bias Evaluation in Biometric Verification and a Dual-Metric MeasureCode0
Explaining AI Decisions: Towards Achieving Human-Centered Explainability in Smart Home Environments—0
Machine Learning Techniques with Fairness for Prediction of Completion of Drug and Alcohol Rehabilitation—0
Identifying Fairness Issues in Automatically Generated Testing Content—0
Fairness Incentives in Response to Unfair Dynamic Pricing—0
Fair Concurrent Training of Multiple Models in Federated Learning—0
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks—0
Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation—0
Security and Privacy Product Inclusion—0
Explainable AI for Fair Sepsis Mortality Predictive Model—0
Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning—0
The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action—0
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams—0
Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted TreesCode0
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective—0
Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications—0
FairSSD: Understanding Bias in Synthetic Speech DetectorsCode0
CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language PromptingCode0
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement LearningCode0
OptiGrad: A Fair and more Efficient Price Elasticity Optimization via a Gradient Based Learning—0
Statistical learning for constrained functional parameters in infinite-dimensional models with applications in fair machine learning—0
Utility-Fairness Trade-Offs and How to Find Them—0
Quantifying fair income distribution in Thailand—0
Privacy at a Price: Exploring its Dual Impact on AI Fairness—0
Closing the Gap in the Trade-off between Fair Representations and Accuracy—0
PraFFL: A Preference-Aware Scheme in Fair Federated LearningCode0
Misinformation Resilient Search Rankings with Webgraph-based InterventionsCode0
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality—0
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward—0
Balanced Mixed-Type Tabular Data Synthesis with Diffusion ModelsCode0
Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information AlignmentCode0
Generating Counterfactual Explanations Using Cardinality Constraints—0
The Impact of Speech Anonymization on Pathology and Its LimitsCode0
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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