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Fairness

Papers

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Showing 3451–3500 of 5676 papers

TitleStatusHype
Individually Fair Learning with One-Sided Feedback—0
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective—0
Fair Classification via Domain Adaptation: A Dual Adversarial Learning ApproachCode0
A Survey on the Fairness of Recommender Systems—0
Efficient Resource Allocation with Fairness Constraints in Restless Multi-Armed Bandits—0
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning—0
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models—0
How unfair is private learning ?—0
Recent Advances in Bayesian Optimization—0
Group privacy for personalized federated learning—0
Group Meritocratic Fairness in Linear Contextual BanditsCode0
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute LeakageCode1
EiX-GNN : Concept-level eigencentrality explainer for graph neural networksCode0
Fairness and Unfairness in Binary and Multiclass Classification: Quantifying, Calculating, and BoundingCode0
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial LearningCode0
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data—0
A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-OffsCode1
A Human-Centric Take on Model Monitoring—0
Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness MetricsCode1
Towards Responsible AI for Financial Transactions—0
(Im)possibility of Collective Intelligence—0
Enforcing Group Fairness in Algorithmic Decision Making: Utility Maximization Under SufficiencyCode0
The Algorithmic Imprint—0
Fair Classification via Transformer Neural Networks: Case Study of an Educational Domain—0
Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential GameCode0
Improving Fairness in Large-Scale Object Recognition by CrowdSourced Demographic Information—0
Use of a Citizen Science Platform for the Creation of a Language Resource to Study Bias in Language Models for French: A Case Study—0
Transparency and Explainability of a Machine Learning Model in the Context of Human Resource Management—0
Towards Responsible AI: A Design Space Exploration of Human-Centered Artificial Intelligence User Interfaces to Investigate Fairness—0
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks—0
How Biased are Your Features?: Computing Fairness Influence Functions with Global Sensitivity AnalysisCode0
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness CriteriaCode0
To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier—0
FELARE: Fair Scheduling of Machine Learning Tasks on Heterogeneous Edge SystemsCode1
Fairness Transferability Subject to Bounded Distribution ShiftCode0
Bias-inducing geometries: an exactly solvable data model with fairness implications—0
Certifying Some Distributional Fairness with Subpopulation DecompositionCode0
Variable importance without impossible data—0
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity—0
Uncertainty Quantification for Fairness in Two-Stage Recommender SystemsCode0
Fool SHAP with Stealthily Biased SamplingCode0
Random Rank: The One and Only Strategyproof and Proportionally Fair Randomized Facility Location Mechanism—0
Metrizing FairnessCode0
Most Equitable Voting Rules—0
Optimal Decision Diagrams for Classification—0
Fair Labeled Clustering—0
Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost—0
Prototype Based Classification from Hierarchy to FairnessCode0
Fairness and Welfare Quantification for Regret in Multi-Armed Bandits—0
Subverting machines, fluctuating identities: Re-learning human categorization—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