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Fairness

Papers

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Showing 1001–1025 of 5676 papers

TitleStatusHype
An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event OutcomesCode1
Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected AttributesCode1
FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks—0
Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classificationCode0
LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language ModelsCode2
Best Practices for Responsible Machine Learning in Credit ScoringCode0
DCAST: Diverse Class-Aware Self-Training Mitigates Selection Bias for Fairer LearningCode0
Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains—0
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
Differential privacy enables fair and accurate AI-based analysis of speech disorders while protecting patient data—0
Fairness-aware Multiobjective Evolutionary LearningCode0
A TextGCN-Based Decoding Approach for Improving Remote Sensing Image Captioning—0
Fairness without Sensitive Attributes via Knowledge SharingCode0
Model-Based Machine Learning for Max-Min Fairness Beamforming Design in JCAS Systems—0
A Fairness-Driven Method for Learning Human-Compatible Negotiation Strategies—0
Trustworthy Text-to-Image Diffusion Models: A Timely and Focused SurveyCode1
Efficient Fairness-Performance Pareto Front Computation—0
Behaviour4All: in-the-wild Facial Behaviour Analysis Toolkit—0
Managing Basis Risks in Weather Parametric Insurance: A Quantitative Study of Diversification and Key Influencing Factors—0
An Effective, Robust and Fairness-aware Hate Speech Detection Framework—0
ABCFair: an Adaptable Benchmark approach for Comparing Fairness MethodsCode0
Evaluating Blocking Biases in Entity MatchingCode0
A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions—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