SOTAVerified

Fairness

Papers

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Showing 1626–1650 of 5676 papers

TitleStatusHype
Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation—0
The Double-Edged Sword of Input Perturbations to Robust Accurate Fairness—0
Fairness in Large Language Models: A Taxonomic Survey—0
Analysis of Fairness-promoting Optimization Schemes of Photovoltaic Curtailments for Voltage Regulation in Power Distribution Networks—0
On Accessibility Fairness in Intermodal Autonomous Mobility-on-Demand Systems—0
Addressing Both Statistical and Causal Gender Fairness in NLP ModelsCode0
FairCLIP: Harnessing Fairness in Vision-Language LearningCode2
FairRAG: Fair Human Generation via Fair Retrieval Augmentation—0
Implications of the AI Act for Non-Discrimination Law and Algorithmic Fairness—0
MIST: Mitigating Intersectional Bias with Disentangled Cross-Attention Editing in Text-to-Image Diffusion Models—0
Meta-Heuristic Fronthaul Bit Allocation for Cell-free Massive MIMO Systems—0
Evaluating Fair Feature Selection in Machine Learning for Healthcare—0
Fairness in Ranking: Robustness through Randomization without the Protected AttributeCode0
Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions—0
Minimax Optimal Fair Classification with Bounded Demographic DisparityCode0
Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities—0
Modeling Sustainable City Trips: Integrating CO2e Emissions, Popularity, and Seasonality into Tourism Recommender Systems—0
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable ObjectivesCode0
Many-Objective Evolutionary Influence Maximization: Balancing Spread, Budget, Fairness, and TimeCode1
The Pursuit of Fairness in Artificial Intelligence Models: A Survey—0
Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease PatientsCode1
Search and Society: Reimagining Information Access for Radical Futures—0
Counterfactual Fairness through Transforming Data Orthogonal to Bias—0
Can Large Language Models (or Humans) Disentangle Text?Code0
From Discrete to Continuous: Deep Fair Clustering With Transferable Representations—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