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Fairness

Papers

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Showing 5101–5125 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
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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