SOTAVerified

Fairness

Papers

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Showing 1151–1175 of 5676 papers

TitleStatusHype
Heterogeneous Multi-Agent Reinforcement Learning for Distributed Channel Access in WLANs—0
Embedding Cultural Diversity in Prototype-based Recommender Systems—0
From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits?—0
Fairness Shields: Safeguarding against Biased Decision Makers—0
Beyond Dataset Creation: Critical View of Annotation Variation and Bias Probing of a Dataset for Online Radical Content Detection—0
Information-Geometric Barycenters for Bayesian Federated Learning—0
The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification—0
Common Ground, Diverse Roots: The Difficulty of Classifying Common Examples in Spanish Varieties—0
Navigating Towards Fairness with Data Selection—0
FairGP: A Scalable and Fair Graph Transformer Using Graph PartitioningCode0
p-Mean Regret for Stochastic BanditsCode0
Linear Programming based Approximation to Individually Fair k-Clustering with Outliers—0
Towards Fair Graph Neural Networks via Graph Counterfactual without Sensitive Attributes—0
Analyzing Fairness of Computer Vision and Natural Language Processing Models—0
Analyzing Fairness of Classification Machine Learning Model with Structured Dataset—0
Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of MulticalibrationCode0
When Can Memorization Improve Fairness?—0
Towards Robust and Fair Vision Learning in Open-World Environments—0
Uplift modeling with continuous treatments: A predict-then-optimize approachCode0
Multimodal Approaches to Fair Image Classification: An Ethical Perspective—0
Coverage-based Fairness in Multi-document SummarizationCode0
Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software—0
FaceX: Understanding Face Attribute Classifiers through Summary Model ExplanationsCode0
RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text RewritingCode0
Political-LLM: Large Language Models in Political Science—0
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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