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Fairness

Papers

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Showing 3751–3800 of 5676 papers

TitleStatusHype
Are Fairness Perceptions Shaped by Income Inequality? Evidence from Latin America—0
FMP: Toward Fair Graph Message Passing against Topology Bias—0
Counterfactual Multi-Token Fairness in Text Classification—0
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers—0
Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing InterventionsCode0
PrivFair: a Library for Privacy-Preserving Fairness AuditingCode0
Optimal Transport of Classifiers to FairnessCode0
Self-Conditioned Generative Adversarial Networks for Image EditingCode1
Fair SA: Sensitivity Analysis for Fairness in Face Recognition—0
SLIDE: a surrogate fairness constraint to ensure fairness consistencyCode0
Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated RankingsCode0
Learning fair representation with a parametric integral probability metricCode0
Distributionally Robust Fair Principal Components via Geodesic Descents—0
AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aestheticsCode0
(Almost) Envy-Free, Proportional and Efficient Allocations of an Indivisible Mixed Manna—0
Doing Right by Not Doing Wrong in Human-Robot Collaboration—0
Fairness for Text Classification Tasks with Identity Information Data Augmentation Methods—0
Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks—0
Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services—0
Fair Representation Clustering with Several Protected Classes—0
Proportional Fairness in Federated LearningCode1
Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcareCode0
FORML: Learning to Reweight Data for Fairness—0
Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems—0
Fairness of Machine Learning Algorithms in Demography—0
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings—0
An Empirical Study of Modular Bias Mitigators and Ensembles—0
Achieving Fairness at No Utility Cost via Data Reweighing with InfluenceCode1
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning—0
Learning Fair Representations via Rate-Distortion MaximizationCode0
Causal Explanations and XAI—0
Fair Wrapping for Black-box PredictionsCode0
Fair ranking: a critical review, challenges, and future directions—0
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification—0
Fairness Implications of Encoding Protected Categorical AttributesCode4
Controlling Directions Orthogonal to a ClassifierCode1
Promises and Challenges of Causality for Ethical Machine Learning—0
Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery—0
Are Commercial Face Detection Models as Biased as Academic Models?—0
An Algorithmic Framework for Bias Bounties—0
Rate-Splitting Multiple Access for Multi-Antenna Joint Radar and Communications with Partial CSIT: Precoder Optimization and Link-Level Simulations—0
Towards Multi-Objective Statistically Fair Federated Learning—0
Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and AccuracyCode1
Post-processing of Differentially Private Data: A Fairness Perspective—0
α-Fairness User Pairing for Downlink NOMA Systems with Imperfect Successive Interference Cancellation—0
Can Model Compression Improve NLP Fairness—0
Consumer Fairness in Recommender Systems: Contextualizing Definitions and MitigationsCode1
Fair Node Representation Learning via Adaptive Data Augmentation—0
Minimax Demographic Group Fairness in Federated Learning—0
Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms—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