Cold-Start Anomaly Detection

1 papers with code • 1 benchmarks • 1 datasets

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Most implemented papers

From Zero to Hero: Cold-Start Anomaly Detection

talreiss/coldfusion 30 May 2024

This paper studies the realistic but underexplored cold-start setting where an anomaly detection model is initialized using zero-shot guidance, but subsequently receives a small number of contaminated observations (namely, that may include anomalies).