SOTAVerified

Fairness

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1051–1100 of 5676 papers

TitleStatusHype
Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented GenerationCode1
Fair Anomaly Detection For Imbalanced Groups—0
Unveiling and Mitigating Bias in Large Language Model Recommendations: A Path to Fairness—0
A Green Multi-Attribute Client Selection for Over-The-Air Federated Learning: A Grey-Wolf-Optimizer Approach—0
Fairness, not Emotion, Drives Socioeconomic Decision Making—0
MusicLIME: Explainable Multimodal Music UnderstandingCode1
Trustworthiness in Retrieval-Augmented Generation Systems: A SurveyCode1
Bias Begets Bias: The Impact of Biased Embeddings on Diffusion Models—0
A Survey of Out-of-distribution Generalization for Graph Machine Learning from a Causal View—0
LabellessFace: Fair Metric Learning for Face Recognition without Attribute Labels—0
Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning—0
Enhancing transparency in AI-powered customer engagement—0
Batched Online Contextual Sparse Bandits with Sequential Inclusion of Features—0
Fair CoVariance Neural Networks—0
Promoting Fairness in Link Prediction with Graph Enhancement—0
SIG: A Synthetic Identity Generation Pipeline for Generating Evaluation Datasets for Face Recognition—0
Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning—0
Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation—0
Still More Shades of Null: An Evaluation Suite for Responsible Missing Value ImputationCode0
Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems—0
Fair Reinforcement Learning Algorithm for PV Active Control in LV Distribution Networks—0
UPCS: Unbiased Persona Construction for Dialogue Generation—0
TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency—0
Influence-based Attributions can be ManipulatedCode0
Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative StudyCode0
PatchAlign:Fair and Accurate Skin Disease Image Classification by Alignment with Clinical LabelsCode1
Centralized Selection with Preferences in the Presence of BiasesCode0
Towards a Socially Acceptable Competitive Equilibrium in Energy Markets—0
Privacy-Preserving Race/Ethnicity Estimation for Algorithmic Bias Measurement in the U.S—0
How Fair is Your Diffusion Recommender Model?—0
Evaluating Fairness in Transaction Fraud Models: Fairness Metrics, Bias Audits, and Challenges—0
AGR: Age Group fairness Reward for Bias Mitigation in LLMs—0
Debiasing Text Safety Classifiers through a Fairness-Aware EnsembleCode0
Microfinance in Thailand: Navigating Challenges and Unlocking Opportunities—0
Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and EvaluationCode1
Understanding Fairness in Recommender Systems: A Healthcare Perspective—0
FairQuant: Certifying and Quantifying Fairness of Deep Neural Networks—0
Nteasee: Understanding Needs in AI for Health in Africa -- A Mixed-Methods Study of Expert and General Population Perspectives—0
Evaluating Machine Learning-based Skin Cancer Diagnosis—0
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorchCode2
Fair Minimum Representation Clustering via Integer Programming—0
The Impact of Balancing Real and Synthetic Data on Accuracy and Fairness in Face Recognition—0
Counterfactual Fairness by Combining Factual and Counterfactual PredictionsCode0
Comprehensive Equity Index (CEI): Definition and Application to Bias Evaluation in Biometrics—0
Fair Railway Network Design—0
Debiasing Graph Representation Learning based on Information Bottleneck—0
Fair Reciprocal Recommendation in Matching MarketsCode0
Fairness in Survival Analysis with Distributionally Robust OptimizationCode0
Reproducibility Study Of Learning Fair Graph Representations Via Automated Data AugmentationsCode0
Testing and Evaluation of Large Language Models: Correctness, Non-Toxicity, and Fairness—0
Show:102550
← PrevPage 22 of 114Next →
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