SOTAVerified

Fairness

Papers

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Showing 226–250 of 5676 papers

TitleStatusHype
LiteLMGuard: Seamless and Lightweight On-Device Prompt Filtering for Safeguarding Small Language Models against Quantization-induced Risks and VulnerabilitiesCode0
Facets of Disparate Impact: Evaluating Legally Consistent Bias in Machine LearningCode0
Fairness Perceptions in Regression-based Predictive Models—0
Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality—0
Fair Uncertainty Quantification for Depression Prediction—0
Robust ML Auditing using Prior Knowledge—0
TetWeave: Isosurface Extraction using On-The-Fly Delaunay Tetrahedral Grids for Gradient-Based Mesh OptimizationCode2
User and Recommender Behavior Over Time: Contextualizing Activity, Effectiveness, Diversity, and Fairness in Book Recommendation—0
Collective decisions under uncertainty: efficiency, ex-ante fairness, and normalization—0
Fairness of Automatic Speech Recognition in Cleft Lip and Palate Speech—0
Robust Fairness Vision-Language Learning for Medical Image AnalysisCode0
Colombian Waitresses y Jueces canadienses: Gender and Country Biases in Occupation Recommendations from LLMsCode0
Social Biases in Knowledge Representations of Wikidata separates Global North from Global SouthCode0
The Multimodal Paradox: How Added and Missing Modalities Shape Bias and Performance in Multimodal AI—0
FairPO: Robust Preference Optimization for Fair Multi-Label Learning—0
SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data AugmentationCode0
Mitigating Group-Level Fairness Disparities in Federated Visual Language Models—0
Causally Fair Node Classification on Non-IID Graph Data—0
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta LearningCode0
StablePCA: Learning Shared Representations across Multiple Sources via Minimax Optimization—0
Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc MethodsCode0
Machine Learning Fairness in House Price Prediction: A Case Study of America's Expanding MetropolisesCode0
Artificial Intelligence in Government: Why People Feel They Lose Control—0
Bayes-Optimal Fair Classification with Multiple Sensitive Features—0
From Texts to Shields: Convergence of Large Language Models and Cybersecurity—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