[D] (A paper suggests) Most Time Series Anomaly Detection Papers are Wrong

I just stumbled on this very nice paper [a], which will appear in AAAI-22.

The title seems much too modest, they show that a random algorithm can achieve apparent SOTA results in this domain. This seems to be a stunning result, that casts doubt on the contribution of dozens of papers.

For some reason, the area of Time Series Anomaly Detection seems to be the wild west of dubious papers and sloppy thinking.

As an aside, there is a benchmark …

anomaly detection detection machinelearning time time series