SOTAVerified

Fairness

Papers

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Showing 3701–3725 of 5676 papers

TitleStatusHype
Gendered Language in Resumes and its Implications for Algorithmic Bias in Hiring—0
Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval—0
Gender Representation in Open Source Speech Resources—0
Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation—0
General Fair Empirical Risk Minimization—0
Generalization In Multi-Objective Machine Learning—0
Generalized Groves of Neural Additive Models: Pursuing transparent and accurate machine learning models in finance—0
Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost—0
Adaptation and Generalization for Unknown Sensitive Factors of Variations—0
Transferring Fairness using Multi-Task Learning with Limited Demographic Information—0
Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models—0
Generating Counterfactual Explanations Using Cardinality Constraints—0
Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation—0
Generative Adversarial Models for Learning Private and Fair Representations—0
Generative Adversarial Reviews: When LLMs Become the Critic—0
Generative AI Triggers Welfare-Reducing Decisions in Humans—0
Generative Auto-Encoder: Non-adversarial Controllable Synthesis with Disentangled Exploration—0
Generative Fairness Teaching—0
Generative models improve fairness of medical classifiers under distribution shifts—0
Generative Models of Huge Objects—0
GenLens: A Systematic Evaluation of Visual GenAI Model Outputs—0
Geometry-aware Generation of Adversarial and Cooperative Point Clouds—0
Getting Fairness Right: Towards a Toolbox for Practitioners—0
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint—0
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning—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