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Fairness

Papers

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Showing 3901–3925 of 5676 papers

TitleStatusHype
The four-fifths rule is not disparate impact: a woeful tale of epistemic trespassing in algorithmic fairness—0
Stochastic Perturbations of Tabular Features for Non-Deterministic Inference with AutomungeCode0
On Guiding Visual Attention with Language Specification—0
Human-Algorithm Collaboration: Achieving Complementarity and Avoiding UnfairnessCode0
Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning—0
Bias and unfairness in machine learning models: a systematic literature review—0
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey—0
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision—0
Modelling multi-cell edge video analytics—0
On Learning and Enforcing Latent Assessment Models using Binary Feedback from Human Auditors Regarding Black-Box Classifiers—0
Fairness constraint in Structural Econometrics and Application to fair estimation using Instrumental Variables—0
Trustworthy Anomaly Detection: A Survey—0
Choosing an algorithmic fairness metric for an online marketplace: Detecting and quantifying algorithmic bias on LinkedIn—0
Fairness Amidst Non-IID Graph Data: A Literature Review—0
Fairness Indicators for Systematic Assessments of Visual Feature Extractors—0
Fairness-aware Configuration of Machine Learning LibrariesCode0
Probabilistic fair behaviors spark its boost in the Ultimatum Game: the strength of good Samaritans—0
Proceedings of the Robust Artificial Intelligence System Assurance (RAISA) Workshop 2022—0
Fair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings—0
Are Fairness Perceptions Shaped by Income Inequality? Evidence from Latin America—0
Prediction Sensitivity: Continual Audit of Counterfactual Fairness in Deployed Classifiers—0
Obtaining Dyadic Fairness by Optimal TransportCode0
An Exploration of Multicalibration Uniform Convergence Bounds—0
Designing Closed Human-in-the-loop Deferral PipelinesCode0
Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing InterventionsCode0
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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