SOTAVerified

Fairness

Papers

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Showing 2051–2100 of 5676 papers

TitleStatusHype
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning—0
Active Fourier Auditor for Estimating Distributional Properties of ML Models—0
Constrained Reweighting of Distributions: an Optimal Transport Approach—0
Constrained Online Decision-Making: A Unified Framework—0
A structured regression approach for evaluating model performance across intersectional subgroups—0
Accuracy, Fairness, and Interpretability of Machine Learning Criminal Recidivism Models—0
Fair Minimum Representation Clustering via Integer Programming—0
Constrained Learning with Non-Convex Losses—0
Constrained Classification and Policy Learning—0
ASTRA: High Throughput 3PC over Rings with Application to Secure Prediction—0
Constant Approximation for Individual Preference Stable Clustering—0
AI Agent Behavioral Science—0
Fair Meta-Learning: Learning How to Learn Fairly—0
Consistent Instance False Positive Improves Fairness in Face Recognition—0
Consider the Alternatives: Navigating Fairness-Accuracy Tradeoffs via Disqualification—0
A Hybrid Tabu Scatter Search Algorithm for Simulation-Based Optimization of Multi-Objective Runway Operations Scheduling—0
Considerations for Task Allocation in Human-Robot Teams—0
"Conservatives Overfit, Liberals Underfit": The Social-Psychological Control of Affect and Uncertainty—0
A Step Toward More Inclusive People Annotations for Fairness—0
Active Fairness Instead of Unawareness—0
fairmetrics: An R package for group fairness evaluation—0
FairMixRep : Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints—0
FairMobi-Net: A Fairness-aware Deep Learning Model for Urban Mobility Flow Generation—0
Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making—0
Fairness-aware Classification: Criterion, Convexity, and Bounds—0
Consensus-based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning—0
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness—0
A Statistical Test for Probabilistic Fairness—0
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation—0
Connecting Fairness in Machine Learning with Public Health Equity—0
A statistical approach to detect sensitive features in a group fairness setting—0
A Hybrid NOMA-OMA Scheme for Inter-plane Intersatellite Communications in Massive LEO Constellations—0
Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production—0
Beyond "Fairness:" Structural (In)justice Lenses on AI for Education—0
A Stakeholder-Centered View on Fairness in Music Recommender Systems—0
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective—0
Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics—0
Assignment Maximization—0
A Hybrid 2-stage Neural Optimization for Pareto Front Extraction—0
Active Fairness in Algorithmic Decision Making—0
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data—0
Conformalized Selective Regression—0
Fair Machine Learning for Healthcare Requires Recognizing the Intersectionality of Sociodemographic Factors, a Case Study—0
A Human Rights-Based Approach to Responsible AI—0
Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics—0
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness—0
Fair Machine Learning in Healthcare: A Review—0
CONFIDERAI: a novel CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence—0
Assessing Classifier Fairness with Collider Bias—0
A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness—0
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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