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GuansongPang / deviation-network

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection, semi-supervised anomaly detection
GNU General Public License v3.0
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Anomaly Contamination level #10

Open ThisisHubert opened 2 years ago

ThisisHubert commented 2 years ago

Hi @GuansongPang, I have another question regarding the anomaly contamination level setting on the unlabeled training dataset.

Since we have this feature on the model during the training process (assuming that we have anomalous data on the unlabeled training dataset), does that mean the model can also see which unlabeled data instances that tend to be "anomalous" (have high anomaly score) on the testing dataset?

Thank you.

GuansongPang commented 2 years ago

Hi, we focus on inductive settings where test data is assumed to be unavailable during the training stage.

ThisisHubert commented 2 years ago

Thank you for the answer @GuansongPang, I also interested to understand further about your work in this paper. Would mind publishing the official code for this one? Thank you in advance