PLAG boosts tabular anomaly detection by using pseudo-label-guided synthetic anomaly generation with a two-stage filter, achieving SOTA results and lifting F1 scores by 0.08-0.21 when added to existing detectors.
Cutmix: Reg- ularization strategy to train strong classifiers with localizable features,
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CardioMix uses cardiac pattern-guided bidirectional fusion to mix labeled and unlabeled ECG data for better semi-supervised segmentation while keeping samples physiologically valid.
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Enhancing Tabular Anomaly Detection via Pseudo-Label-Guided Generation
PLAG boosts tabular anomaly detection by using pseudo-label-guided synthetic anomaly generation with a two-stage filter, achieving SOTA results and lifting F1 scores by 0.08-0.21 when added to existing detectors.