SOTAVerified

Fairness

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2701–2750 of 5676 papers

TitleStatusHype
FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation—0
FedCRL: Personalized Federated Learning with Contrastive Shared Representations for Label Heterogeneity in Non-IID Data—0
FedD2S: Personalized Data-Free Federated Knowledge Distillation—0
FedDriveScore: Federated Scoring Driving Behavior with a Mixture of Metric Distributions—0
FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning—0
Entropy-driven Fair and Effective Federated Learning—0
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning—0
Fair Labeled Clustering—0
Deciding What's Fair: Challenges of Applying Reinforcement Learning in Online Marketplaces—0
Federated Fairness without Access to Sensitive Groups—0
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies—0
FAIRLABEL: Correcting Bias in Labels—0
Federated Learning over a Wireless Network: Distributed User Selection through Random Access—0
Decision Making with Differential Privacy under a Fairness Lens—0
Fair Knowledge Tracing in Second Language Acquisition—0
Federated Learning with Fair Worker Selection: A Multi-Round Submodular Maximization Approach—0
Federated Learning with Relative Fairness—0
FROG: Fair Removal on Graphs—0
Coarse Set Theory for AI Ethics and Decision-Making: A Mathematical Framework for Granular Evaluations—0
Fair Kernel Learning—0
FederatedTrust: A Solution for Trustworthy Federated Learning—0
Federated Unlearning: a Perspective of Stability and Fairness—0
Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework—0
FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning—0
Fair k-Centers via Maximum Matching—0
Training Fair Models in Federated Learning without Data Privacy Infringement—0
FedGA: A Fair Federated Learning Framework Based on the Gini Coefficient—0
FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation—0
Cluster-level Group Representativity Fairness in k-means Clustering—0
Deep Bayesian Trust : A Dominant and Fair Incentive Mechanism for Crowd—0
FedPCA: Noise-Robust Fair Federated Learning via Performance-Capacity Analysis—0
FedPrune: Towards Inclusive Federated Learning—0
A Scalable and Generalized Deep Learning Framework for Anomaly Detection in Surveillance Videos—0
FR-GAN: Fair and Robust Training—0
From Coders to Critics: Empowering Students through Peer Assessment in the Age of AI Copilots—0
Auto-Drafting Police Reports from Noisy ASR Outputs: A Trust-Centered LLM Approach—0
Feedback Effects in Repeat-Use Criminal Risk Assessments—0
FEED: Fairness-Enhanced Meta-Learning for Domain Generalization—0
From Efficiency to Equity: Measuring Fairness in Preference Learning—0
From Models to Systems: A Comprehensive Fairness Framework for Compositional Recommender Systems—0
FERI: A Multitask-based Fairness Achieving Algorithm with Applications to Fair Organ Transplantation—0
FairJudge: Trustworthy User Prediction in Rating Platforms—0
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks—0
Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification—0
Few-Shot Generation of Brain Tumors for Secure and Fair Data Sharing—0
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach—0
SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning—0
Data-Driven Fairness Generalization for Deepfake Detection—0
FFPDG: Fast, Fair and Private Data Generation—0
Matching Code and Law: Achieving Algorithmic Fairness with Optimal Transport—0
Show:102550
← PrevPage 55 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