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Fairness

Papers

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Showing 5101–5150 of 5676 papers

TitleStatusHype
Specifying and Testing k-Safety Properties for Machine-Learning ModelsCode0
RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text RewritingCode0
On Fairness and CalibrationCode0
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input NoisesCode0
Active Sampling for Min-Max FairnessCode0
Fairness Auditing with Multi-Agent CollaborationCode0
Investigating the Capabilities and Limitations of Machine Learning for Identifying Bias in English Language Data with Information and Heritage ProfessionalsCode0
On Fairness of Low-Rank Adaptation of Large ModelsCode0
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal RepresentationsCode0
Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of MulticalibrationCode0
Spectral Normalized-Cut Graph Partitioning with Fairness ConstraintsCode0
EMOVOME: A Dataset for Emotion Recognition in Spontaneous Real-Life SpeechCode0
Fairness-aware Configuration of Machine Learning LibrariesCode0
I Prefer not to Say: Protecting User Consent in Models with Optional Personal DataCode0
IronForge: An Open, Secure, Fair, Decentralized Federated LearningCode0
FairSHAP: Preprocessing for Fairness Through Attribution-Based Data AugmentationCode0
Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-TuningCode0
A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective LandscapesCode0
Algorithmic Fairness Generalization under Covariate and Dependence Shifts SimultaneouslyCode0
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on GraphsCode0
Fairness-Aware Estimation of Graphical ModelsCode0
On Formal Feature Attribution and Its ApproximationCode0
Recall, Robustness, and Lexicographic EvaluationCode0
Bursting the Burden Bubble? An Assessment of Sharma et al.'s Counterfactual-based Fairness MetricCode0
On Biased Behavior of GANs for Face VerificationCode0
Debiasing Text Safety Classifiers through a Fairness-Aware EnsembleCode0
On Generalized Degree Fairness in Graph Neural NetworksCode0
Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in HealthcareCode0
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent ConstraintsCode0
A novel approach for Fair Principal Component Analysis based on eigendecompositionCode0
VersusDebias: Universal Zero-Shot Debiasing for Text-to-Image Models via SLM-Based Prompt Engineering and Generative AdversaryCode0
Is this model reliable for everyone? Testing for strong calibrationCode0
ABCFair: an Adaptable Benchmark approach for Comparing Fairness MethodsCode0
Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMsCode0
Is Your Model "MADD"? A Novel Metric to Evaluate Algorithmic Fairness for Predictive Student ModelsCode0
Building Socially-Equitable Public ModelsCode0
Item-side Fairness of Large Language Model-based Recommendation SystemCode0
Fairness-aware Multiobjective Evolutionary LearningCode0
The Impact of Speech Anonymization on Pathology and Its LimitsCode0
Fairness-aware Multi-view ClusteringCode0
Iterative Orthogonal Feature Projection for Diagnosing Bias in Black-Box ModelsCode0
Towards Explaining Demographic Bias through the Eyes of Face Recognition ModelsCode0
Fairness-Aware Neural Réyni Minimization for Continuous FeaturesCode0
On Learning Fairness and Accuracy on Multiple SubgroupsCode0
It's Not You, It's Me: The Impact of Choice Models and Ranking Strategies on Gender Imbalance in Music RecommendationCode0
BSL: Understanding and Improving Softmax Loss for RecommendationCode0
Fairness-Aware Online PersonalizationCode0
Stable and Fair ClassificationCode0
Fair Classification via Domain Adaptation: A Dual Adversarial Learning ApproachCode0
Recommending POIs for Tourists by User Behavior Modeling and Pseudo-RatingCode0
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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