SOTAVerified

Fairness

Papers

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Showing 1401–1450 of 5676 papers

TitleStatusHype
A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future ResearchCode0
Overcoming Representation Bias in Fairness-Aware data Repair using Optimal Transport—0
Achieving Fairness in Predictive Process Analytics via Adversarial Learning—0
Fair Decentralized LearningCode0
PFGuard: A Generative Framework with Privacy and Fairness Safeguards—0
Minimax Group Fairness in Strategic Classification—0
Harm Ratio: A Novel and Versatile Fairness Criterion—0
Causal Inference Tools for a Better Evaluation of Machine Learning—0
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated LearningCode0
Fair Class-Incremental Learning using Sample Weighting—0
ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups—0
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications—0
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness—0
Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation—0
Conformal Prediction Sets Can Cause Disparate ImpactCode0
Explainable Multi-Stakeholder Job Recommender Systems—0
FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks—0
Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains—0
Best Practices for Responsible Machine Learning in Credit ScoringCode0
Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classificationCode0
DCAST: Diverse Class-Aware Self-Training Mitigates Selection Bias for Fairer LearningCode0
A large-scale operational study of fingerprint quality and demographics—0
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation SystemsCode0
Fairness Analysis with Shapley-Owen Effects—0
Fairness-aware Multiobjective Evolutionary LearningCode0
Differential privacy enables fair and accurate AI-based analysis of speech disorders while protecting patient data—0
A TextGCN-Based Decoding Approach for Improving Remote Sensing Image Captioning—0
Fairness without Sensitive Attributes via Knowledge SharingCode0
A Fairness-Driven Method for Learning Human-Compatible Negotiation Strategies—0
Model-Based Machine Learning for Max-Min Fairness Beamforming Design in JCAS Systems—0
Behaviour4All: in-the-wild Facial Behaviour Analysis Toolkit—0
Efficient Fairness-Performance Pareto Front Computation—0
An Effective, Robust and Fairness-aware Hate Speech Detection Framework—0
ABCFair: an Adaptable Benchmark approach for Comparing Fairness MethodsCode0
Managing Basis Risks in Weather Parametric Insurance: A Quantitative Study of Diversification and Key Influencing Factors—0
A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions—0
From Pixels to Words: Leveraging Explainability in Face Recognition through Interactive Natural Language Processing—0
Evaluating Blocking Biases in Entity MatchingCode0
Not Only the Last-Layer Features for Spurious Correlations: All Layer Deep Feature Reweighting—0
Method of Equal Shares with Bounded Overspending—0
AdapFair: Ensuring Continuous Fairness for Machine Learning Operations—0
Asking an AI for salary negotiation advice is a matter of concern: Controlled experimental perturbation of ChatGPT for protected and non-protected group discrimination on a contextual task with no clear ground truth answers—0
Evaluating Gender, Racial, and Age Biases in Large Language Models: A Comparative Analysis of Occupational and Crime Scenarios—0
UAV-Enabled Data Collection for IoT Networks via Rainbow Learning—0
The trade-off between data minimization and fairness in collaborative filtering—0
Data Generation via Latent Factor Simulation for Fairness-aware Re-ranking—0
Anti-jamming Transmission of Downlink Cell Free Millimeter-Wave MIMO System—0
Transforming disaster risk reduction with AI and big data: Legal and interdisciplinary perspectives—0
(Un)certainty of (Un)fairness: Preference-Based Selection of Certainly Fair Decision-MakersCode0
A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research—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