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Fairness

Papers

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Showing 3101–3150 of 5676 papers

TitleStatusHype
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node ClassifiersCode0
Improving Fairness in Image Classification via SketchingCode0
Mitigating Unfairness via Evolutionary Multi-objective Ensemble LearningCode0
Collaborative Honeypot Defense in UAV Networks: A Learning-Based Game Approach—0
Track2Vec: fairness music recommendation with a GPU-free customizable-driven frameworkCode1
Scalable Spectral Clustering with Group Fairness ConstraintsCode0
Differential Privacy has Bounded Impact on Fairness in ClassificationCode0
Mitigating Health Disparities in EHR via Deconfounder—0
Addressing Bias in Face Detectors using Decentralised Data collection with incentives—0
Private and Reliable Neural Network InferenceCode1
MABEL: Attenuating Gender Bias using Textual Entailment DataCode1
FairCLIP: Social Bias Elimination based on Attribute Prototype Learning and Representation Neutralization—0
I Prefer not to Say: Protecting User Consent in Models with Optional Personal DataCode0
Item-based Variational Auto-encoder for Fair Music RecommendationCode1
Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture ModelCode0
Simultaneous Improvement of ML Model Fairness and Performance by Identifying Bias in Data—0
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic ApproachCode1
On-Demand Sampling: Learning Optimally from Multiple DistributionsCode0
Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision SystemsCode0
Abstract Interpretation-Based Feature Importance for SVMs—0
Trustworthy Human Computation: A Survey—0
How fair were COVID-19 restriction decisions? A data-driven investigation of England using the dominance-based rough sets approach—0
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research ChallengesCode1
Towards Human-centered Explainable AI: A Survey of User Studies for Model ExplanationsCode0
On Learning Fairness and Accuracy on Multiple SubgroupsCode0
Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment InformationCode0
Group Fairness in Prediction-Based Decision Making: From Moral Assessment to ImplementationCode0
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face RecognitionCode1
Electricity grid tariffs for electrification in households: Bridging the gap between cross-subsidies and fairness—0
Towards Fair Classification against Poisoning Attacks—0
Consistent Multiclass Algorithms for Complex Metrics and ConstraintsCode0
Contextual bandits with concave rewards, and an application to fair ranking—0
Evaluating Search System Explainability with Psychometrics and Crowdsourcing—0
Prompting GPT-3 To Be ReliableCode1
Stochastic Differentially Private and Fair LearningCode0
Systematic Evaluation of Predictive FairnessCode0
Loss Minimization through the Lens of Outcome Indistinguishability—0
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques—0
AI-powered mechanisms as judges: Breaking ties in chess—0
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation—0
BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text GenerationCode1
Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations—0
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound PropagationCode2
Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods—0
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models—0
Equal Improvability: A New Fairness Notion Considering the Long-term ImpactCode0
Walk a Mile in Their Shoes: a New Fairness Criterion for Machine Learning—0
FARE: Provably Fair Representation Learning with Practical CertificatesCode0
Fairness via Adversarial Attribute Neighbourhood Robust Learning—0
Equal Experience in Recommender SystemsCode0
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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