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SotA/Graphs/Unsupervised Anomaly Detection/AnoShift

Unsupervised Anomaly Detection on AnoShift

Metric: ROC-AUC NEAR (higher is better)

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#Model↕ROC-AUC NEAR▼Extra DataPaperDate↕Code
1deepSVDD87NoAnoShift: A Distribution Shift Benchmark for Uns...2022-06-30Code
2BERT86.05NoAnoShift: A Distribution Shift Benchmark for Uns...2022-06-30Code
3LOF79.29NoAnoShift: A Distribution Shift Benchmark for Uns...2022-06-30Code
4IsoForest75.26NoAnoShift: A Distribution Shift Benchmark for Uns...2022-06-30Code
5OC-SVM71.43NoAnoShift: A Distribution Shift Benchmark for Uns...2022-06-30Code
6SO-GAAL54.55NoAnoShift: A Distribution Shift Benchmark for Uns...2022-06-30Code
7COPOD54.24NoAnoShift: A Distribution Shift Benchmark for Uns...2022-06-30Code
8Internal Contrastive Learning52.26NoAnoShift: A Distribution Shift Benchmark for Uns...2022-06-30Code
9LUNAR49.03NoAnoShift: A Distribution Shift Benchmark for Uns...2022-06-30Code
10ECOD Li et al. (2022)44.87NoAnoShift: A Distribution Shift Benchmark for Uns...2022-06-30Code
11AE for anomalies44.06NoAnoShift: A Distribution Shift Benchmark for Uns...2022-06-30Code