RRPR

On Challenging Aspects of Reproducibility in Deep Anomaly Detection, 13 Jul. 2022 (papers)
Our companion paper On Challenging Aspects of Reproducibility in Deep Anomaly Detection has been accepted for presentation on the Fourth Workshop on Reproducible Research in Pattern Recognition (satellite event of ICPR 2022). In it, we discuss aspects of reproducibility for our anomaly detection algorithm MCHAD, as well as anomaly detection with deep neural networks in general. In particular, we discussed the following challenges for the reproducibility: Nondeterminism: conducting the same …
Categories: Anomaly Detection · Reproducibility
212 Words, Tagged with: RRPR · Anomaly Detection · Reproducibility
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