SOTAVerified

Fairness

Papers

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Showing 2651–2700 of 5676 papers

TitleStatusHype
Auditing Predictive Models for Intersectional Biases—0
Algorithmic Bias in Recidivism Prediction: A Causal Perspective—0
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing—0
Fair Wasserstein Coresets—0
Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines—0
FairWire: Fair Graph Generation—0
DeAR: Debiasing Vision-Language Models with Additive Residuals—0
Auditing the Fairness of the US COVID-19 Forecast Hub's Case Prediction Models—0
Finding Words Associated with DIF: Predicting Differential Item Functioning using LLMs and Explainable AI—0
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation—0
FairyTED: A Fair Rating Predictor for TED Talk Data—0
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs—0
Fair Labeled Clustering—0
Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications—0
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies—0
FALE: Fairness-Aware ALE Plots for Auditing Bias in Subgroups—0
FAIRLABEL: Correcting Bias in Labels—0
Algorithm Design: A Fairness-Accuracy Frontier—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
Fair Knowledge Tracing in Second Language Acquisition—0
Fast and Examination-agnostic Reciprocal Recommendation in Matching Markets—0
FIND:Explainable Framework for Meta-learning—0
Fast & Fair: Efficient Second-Order Robust Optimization for Fairness in Machine Learning—0
Debiasing Graph Representation Learning based on Information Bottleneck—0
Fast Feature Selection with Fairness Constraints—0
Coarse Set Theory for AI Ethics and Decision-Making: A Mathematical Framework for Granular Evaluations—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
Fair Kernel Learning—0
FATE in AI: Towards Algorithmic Inclusivity and Accessibility—0
Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework—0
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems—0
Fair k-Centers via Maximum Matching—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
Cluster-level Group Representativity Fairness in k-means Clustering—0
Ad Auctions for LLMs via Retrieval Augmented Generation—0
DECAF: Learning to be Fair in Multi-agent Resource Allocation—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
DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models—0
Feature-based Individual Fairness in k-Clustering—0
A Scalable and Generalized Deep Learning Framework for Anomaly Detection in Surveillance Videos—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