arXiv Machine Learning August 19, 2026 By Ayusha Abbas, Saram Abbas, Kabita Adhikari

Training-Free Human-in-the-Loop Anomaly Detection via Memory Bank Correction

Read the original on arXiv Machine Learning →

arXiv:2608. 17775v1 Announce Type: new Abstract: Anomaly detectors are hardest to deploy exactly where training data is scarcest: a newly commissioned production line has a handful of verified "golden" samples and no machine-learning engineer on the factory floor.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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