Summary
A highly-cited KDD 2023 paper, "DCdetector," on time series anomaly detection, is under scrutiny after a user reported questionable findings when running its source code. The user noted a lack of loss progress logging and suspicious results upon closer inspection, despite the model initially appearing functional. This raises concerns about the validity and integrity of a significant publication in the deep learning anomaly detection space.
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