SOTAVerified

Fairness

Papers

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Showing 1901–1925 of 5676 papers

TitleStatusHype
Exploring the Unfairness of DP-SGD Across Settings—0
Exploring unfairness in Integrated Gradients based attribution methods—0
Exploring User Opinions of Fairness in Recommender Systems—0
Exploring Welfare Maximization and Fairness in Participatory Budgeting—0
Exponential Structure of Income Inequality: Evidence from 67 Countries—0
Exposing Product Bias in LLM Investment Recommendation—0
Approximating Fair k-Min-Sum-Radii in Euclidean Space—0
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context—0
AI based Content Creation and Product Recommendation Applications in E-commerce: An Ethical overview—0
Extracting Fairness Policies from Legal Documents—0
FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling—0
Accuracy vs. Accuracy: Computational Tradeoffs Between Classification Rates and Utility—0
Contextual Thompson Sampling via Generation of Missing Data—0
FaceSaliencyAug: Mitigating Geographic, Gender and Stereotypical Biases via Saliency-Based Data Augmentation—0
FACET: Fairness in Computer Vision Evaluation Benchmark—0
A Fair Federated Learning Framework With Reinforcement Learning—0
Facets of Fairness in Search and Recommendation—0
A Suite of Fairness Datasets for Tabular Classification—0
Contextual bandits with concave rewards, and an application to fair ranking—0
Facial Width-to-Height Ratio Does Not Predict Self-Reported Behavioral Tendencies—0
A Pre-processing Method for Fairness in Ranking—0
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems—0
A Study on Fairness and Trust Perceptions in Automated Decision Making—0
Active Learning for Fair and Stable Online Allocations—0
Societal AI Research Has Become Less Interdisciplinary—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