SOTAVerified

Fairness

Papers

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Showing 3601–3625 of 5676 papers

TitleStatusHype
Time-consistent pension policy with minimum guarantee and sustainability constraint—0
To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods—0
To be Robust and to be Fair: Aligning Fairness with Robustness—0
How Does Topology Bias Distort Message Passing? A Dirichlet Energy Perspective—0
To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier—0
Toward a better trade-off between performance and fairness with kernel-based distribution matching—0
Toward A Logical Theory Of Fairness and Bias—0
Toward Automated Detection of Biased Social Signals from the Content of Clinical Conversations—0
Toward Automatic Group Membership Annotation for Group Fairness Evaluation—0
Toward Fairer Face Recognition Datasets—0
Toward Fair Facial Expression Recognition with Improved Distribution Alignment—0
Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillation—0
Toward Fairness in AI for People with Disabilities: A Research Roadmap—0
Toward Fairness in Speech Recognition: Discovery and mitigation of performance disparities—0
Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling—0
Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis—0
Toward Fairness via Maximum Mean Discrepancy Regularization on Logits Space—0
A Systematic Literature Review of Human-Centered, Ethical, and Responsible AI—0
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools—0
Toward Pareto Efficient Fairness-Utility Trade-off inRecommendation through Reinforcement Learning—0
Towards Accuracy-Fairness Paradox: Adversarial Example-based Data Augmentation for Visual Debiasing—0
Copycats: the many lives of a publicly available medical imaging dataset—0
Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making—0
Towards Algorithmic Fairness in Space-Time: Filling in Black Holes—0
Towards Algorithmic Transparency: A Diversity Perspective—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