SOTAVerified

Fairness

Papers

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Showing 4051–4075 of 5676 papers

TitleStatusHype
A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness—0
A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions—0
A Comprehensive Survey on the Trustworthiness of Large Language Models in Healthcare—0
A Comprehensive Survey on Trustworthy Recommender Systems—0
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability—0
A Comprehensive Sustainable Framework for Machine Learning and Artificial Intelligence—0
A Computational Approach to Improving Fairness in K-means Clustering—0
A Uniform Concentration Inequality for Kernel-Based Two-Sample Statistics—0
A Conceptual Framework for Ethical Evaluation of Machine Learning Systems—0
A Conceptual Framework for Evaluating Fairness in Search—0
A conceptual model for leaving the data-centric approach in machine learning—0
A Constraint Programming Approach to Fair High School Course Scheduling—0
Matching Code and Law: Achieving Algorithmic Fairness with Optimal Transport—0
How GPT-3 responds to different publics on climate change and Black Lives Matter: A critical appraisal of equity in conversational AI—0
A Critical Survey on Fairness Benefits of Explainable AI—0
ACROCPoLis: A Descriptive Framework for Making Sense of Fairness—0
Actions Speak Louder than Words: Agent Decisions Reveal Implicit Biases in Language Models—0
Active Data Sampling and Generation for Bias Remediation—0
Active Fairness Auditing—0
Active Fairness in Algorithmic Decision Making—0
Active Fairness Instead of Unawareness—0
Active Fourier Auditor for Estimating Distributional Properties of ML Models—0
Active Learning for Fair and Stable Online Allocations—0
AdapFair: Ensuring Continuous Fairness for Machine Learning Operations—0
AdapShare: An RL-Based Dynamic Spectrum Sharing Solution for O-RAN—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