SOTAVerified

Fairness

Papers

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Showing 2526–2550 of 5676 papers

TitleStatusHype
Developing a Novel Holistic, Personalized Dementia Risk Prediction Model via Integration of Machine Learning and Network Systems Biology Approaches—0
Digital Ethics in Federated Learning—0
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data—0
Fair Feature Selection: A Comparison of Multi-Objective Genetic Algorithms—0
FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling—0
Nash Regret Guarantees for Linear Bandits—0
Beyond-Accuracy: A Review on Diversity, Serendipity and Fairness in Recommender Systems Based on Graph Neural Networks—0
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features—0
A Learning Based Scheme for Fair Timeliness in Sparse Gossip Networks—0
LaPLACE: Probabilistic Local Model-Agnostic Causal ExplanationsCode0
A Brief History of Prompt: Leveraging Language Models. (Through Advanced Prompting)—0
The Sem-Lex Benchmark: Modeling ASL Signs and Their PhonemesCode0
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools—0
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link PredictionCode0
Anti-Matthew FL: Bridging the Performance Gap in Federated Learning to Counteract the Matthew Effect—0
Towards Poisoning Fair Representations—0
Constant Approximation for Individual Preference Stable Clustering—0
Max-Sliced Mutual Information—0
Automatic Feature Fairness in Recommendation via AdversariesCode0
Parallel Multi-Objective Hyperparameter Optimization with Uniform Normalization and Bounded Objectives—0
(Predictable) Performance Bias in Unsupervised Anomaly Detection—0
Unveiling Fairness Biases in Deep Learning-Based Brain MRI ReconstructionCode0
Fairness and Bias in Algorithmic Hiring: a Multidisciplinary Survey—0
Survey of Social Bias in Vision-Language Models—0
Design Principles of Robust Multi-Armed Bandit Framework in Video Recommendations—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