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Fairness

Papers

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Showing 3551–3600 of 5676 papers

TitleStatusHype
FairSTG: Countering performance heterogeneity via collaborative sample-level optimization—0
Fair Streaming Feature Selection—0
Fair Community Detection and Structure Learning in Heterogeneous Graphical Models—0
Fair Submodular Cover—0
Fair Sufficient Representation Learning—0
FairTargetSim: An Interactive Simulator for Understanding and Explaining the Fairness Effects of Target Variable Definition—0
Fair task allocation in transportation—0
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training—0
Fair Text-to-Image Diffusion via Fair Mapping—0
FAIRTOPIA: Envisioning Multi-Agent Guardianship for Disrupting Unfair AI Pipelines—0
Fair Training of Decision Tree Classifiers—0
Fair treatment allocations in social networks—0
Fair Uncertainty Quantification for Depression Prediction—0
Fair Visual Recognition via Intervention with Proxy Features—0
Fair-VPT: Fair Visual Prompt Tuning for Image Classification—0
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing—0
Fair Wasserstein Coresets—0
Fair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings—0
FairWire: Fair Graph Generation—0
FairXGBoost: Fairness-aware Classification in XGBoost—0
FairyTED: A Fair Rating Predictor for TED Talk Data—0
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding—0
FALE: Fairness-Aware ALE Plots for Auditing Bias in Subgroups—0
FARF: A Fair and Adaptive Random Forests Classifier—0
FaRM: Fair Reward Mechanism for Information Aggregation in Spontaneous Localized Settings (Extended Version)—0
FARMUR: Fair Adversarial Retraining to Mitigate Unfairness in Robustness—0
FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint—0
Fast and Examination-agnostic Reciprocal Recommendation in Matching Markets—0
Fast & Fair: Efficient Second-Order Robust Optimization for Fairness in Machine Learning—0
Fast Feature Selection with Fairness Constraints—0
Fast Federated Edge Learning with Overlapped Communication and Computation and Channel-Aware Fair Client Scheduling—0
Fast MNAS: Uncertainty-aware Neural Architecture Search with Lifelong Learning—0
Fast online ranking with fairness of exposure—0
Fast solution to the fair ranking problem using the Sinkhorn algorithm—0
FATE in AI: Towards Algorithmic Inclusivity and Accessibility—0
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems—0
Fault Diagnosis of Discrete-Event Systems under Non-Deterministic Observations with Output Fairness—0
Fault Tolerance of Neural Networks in Adversarial Settings—0
fAux: Testing Individual Fairness via Gradient Alignment—0
Favoring Eagerness for Remaining Items: Designing Efficient, Fair, and Strategyproof Mechanisms—0
"Favoring my playmate seems fair": Inhibitory control and theory of mind in preschoolers' self-disadvantaging behaviors—0
When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks—0
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts—0
Feature-based Individual Fairness in k-Clustering—0
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
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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