SOTAVerified

Fairness

Papers

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Showing 2201–2225 of 5676 papers

TitleStatusHype
Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and RobustnessCode0
On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model—0
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation—0
Unleashing the power of Neural Collapse for Transferability Estimation—0
Post-hoc Bias Scoring Is Optimal For Fair ClassificationCode0
Foundation Models Meet Visualizations: Challenges and Opportunities—0
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and EthicsCode1
A Review of the Ethics of Artificial Intelligence and its Applications in the United States—0
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image AnalysisCode1
Interventions Against Machine-Assisted Statistical Discrimination—0
Nash Welfare and Facility Location—0
Fair Feature Importance Scores for Interpreting Tree-Based Methods and Surrogates—0
Rethinking Fairness for Human-AI Collaboration—0
Multimarginal generative modeling with stochastic interpolants—0
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
Beyond-Accuracy: A Review on Diversity, Serendipity and Fairness in Recommender Systems Based on Graph Neural Networks—0
Nash Regret Guarantees for Linear Bandits—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
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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