SOTAVerified

Fairness

Papers

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Showing 676–700 of 5676 papers

TitleStatusHype
Analyzing and Mitigating Bias for Vulnerable Classes: Towards Balanced Representation in Dataset—0
Analytic Automated Essay Scoring Based on Deep Neural Networks Integrating Multidimensional Item Response Theory—0
AdEval: Alignment-based Dynamic Evaluation to Mitigate Data Contamination in Large Language Models—0
Analysis of Scheduling schemes based on Carrier Aggregation in LTE-Advanced and their improvement—0
Analysis of Fairness-promoting Optimization Schemes of Photovoltaic Curtailments for Voltage Regulation in Power Distribution Networks—0
A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing—0
Achieving Fair PCA Using Joint Eigenvalue Decomposition—0
Bias and unfairness in machine learning models: a systematic literature review—0
Analysing Fairness of Privacy-Utility Mobility Models—0
Analysing and Organising Human Communications for AI Fairness-Related Decisions: Use Cases from the Public Sector—0
A Deep Reinforcement Learning Approach for Fair Traffic Signal Control—0
Analysing a built-in advantage in asymmetric darts contests using causal machine learning—0
An Algorithmic Framework to Control Bias in Bandit-based Personalization—0
A Deep Learning-Based Approach for Cell Outage Compensation in NOMA Networks—0
An Admissible Shift-Consistent Method for Recommender Systems—0
A Deep Learning Approach for User-Centric Clustering in Cell-Free Massive MIMO Systems—0
A Multivocal Literature Review on Privacy and Fairness in Federated Learning—0
Multi-FR: A Multi-objective Optimization Framework for Multi-stakeholder Fairness-aware Recommendation—0
A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research—0
Achieving Fairness with a Simple Ridge Penalty—0
Bias Testing and Mitigation in LLM-based Code Generation—0
Bias, Fairness, and Accountability with AI and ML Algorithms—0
Bounded Temporal Fairness for FIFO Financial Markets—0
A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems—0
A Decomposition of the Max-min Fair Curriculum-based Course Timetabling Problem—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