SOTAVerified

Fairness

Papers

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Showing 4676–4700 of 5676 papers

TitleStatusHype
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning—0
Fair regression via plug-in estimator and recalibration with statistical guarantees—0
A Fair Classifier Using Kernel Density Estimation—0
Fair Multiple Decision Making Through Soft InterventionsCode0
FairFaceGAN: Fairness-aware Facial Image-to-Image Translation—0
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability—0
Fair Densities via Boosting the Sufficient Statistics of Exponential FamiliesCode0
Fairness with Overlapping Groups; a Probabilistic Perspective—0
Multimodal Review Generation with Privacy and Fairness AwarenessCode0
KFC: A Scalable Approximation Algorithm for k−center Fair Clustering—0
Towards Auditability for Fairness in Deep Learning—0
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age—0
Feedback Effects in Repeat-Use Criminal Risk Assessments—0
Reducing Discrimination in Learning Algorithms for Social Good in Sociotechnical Systems—0
Towards robust and speculation-reduction real estate pricing models based on a data-driven strategy—0
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder—0
A Novel NOMA Solution with RIS Partitioning—0
Fairness-guided SMT-based Rectification of Decision Trees and Random Forests—0
Augmented Fairness: An Interpretable Model Augmenting Decision-Makers' Fairness—0
Probing Fairness of Mobile Ocular Biometrics Methods Across Gender on VISOB 2.0 Dataset—0
Stochastic Client Selection for Federated Learning with Volatile Clients—0
FAIR: Fair Adversarial Instance Re-weighting—0
Good proctor or "Big Brother"? AI Ethics and Online Exam Supervision Technologies—0
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty—0
Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies—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