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Fairness

Papers

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Showing 3151–3175 of 5676 papers

TitleStatusHype
Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems From a Multi-task Perspective—0
Fair Spatial Indexing: A paradigm for Group Spatial Fairness—0
Improving Fair Training under Correlation Shifts—0
The Unfairness of Fair Machine Learning: Levelling down and strict egalitarianism by default—0
Matrix Estimation for Individual Fairness—0
Rating Sentiment Analysis Systems for Bias through a Causal Lens—0
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imagingCode0
Group Fairness in Non-monotone Submodular Maximization—0
An Operational Perspective to Fairness Interventions: Where and How to Intervene—0
Multivariate Systemic Risk Measures and Computation by Deep Learning Algorithms—0
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access—0
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations—0
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service"—0
Fairness-aware Cross-Domain Recommendation—0
Superhuman FairnessCode0
Fairness-aware Vision Transformer via Debiased Self-AttentionCode0
Retiring ΔDP: New Distribution-Level Metrics for Demographic ParityCode0
On the Within-Group Fairness of Screening ClassifiersCode0
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets—0
Royal Processions: Incentives, Efficiency and Fairness in Two-sided Matching—0
How Far Can It Go?: On Intrinsic Gender Bias Mitigation for Text ClassificationCode0
Fairness and Accuracy under Domain GeneralizationCode0
The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning—0
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks—0
Entropy-driven Fair and Effective Federated Learning—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