SOTAVerified

Fairness

Papers

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Showing 526–550 of 5676 papers

TitleStatusHype
DP-SGD-Global-Adapt-V2-S: Triad Improvements of Privacy, Accuracy and Fairness via Step Decay Noise Multiplier and Step Decay Upper Clipping Threshold—0
Automated Peer-to-peer Negotiation for Energy Contract Settlements in Residential Cooperatives—0
A Fair Federated Learning Framework With Reinforcement Learning—0
A Practical guide on Explainable AI Techniques applied on Biomedical use case applications—0
Ontology of Belief Diversity: A Community-Based Epistemological Approach—0
Approximating Fair k-Min-Sum-Radii in Euclidean Space—0
A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness—0
A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records—0
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices—0
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models—0
Approximate Birkhoff-von-Neumann decomposition: a differentiable approach—0
A Fair Classifier Using Kernel Density Estimation—0
Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems—0
Approaching Machine Learning Fairness through Adversarial Network—0
A Fair and Ethical Healthcare Artificial Intelligence System for Monitoring Driver Behavior and Preventing Road Accidents—0
A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models—0
A Unified Deterministic Channel Model for Multi-Type RIS with Reflective, Transmissive, and Polarization Operations—0
Approaching Ethical Guidelines for Data Scientists—0
Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Tasks—0
A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction—0
APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation—0
A Post-Processing-Based Fair Federated Learning Framework—0
A FAIR and AI-ready Higgs boson decay dataset—0
A Polynomial-Time Approximation for Pairwise Fair k-Median Clustering—0
AFAFed -- Protocol analysis—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