Tag: da
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Statistical Inference for Autoencoder-based Anomaly Detection after Representation Learning-based Domain Adaptation
Statistical Inference for Autoencoder-based Anomaly Detection after Representation Learning-based Domain Adaptation arXiv:2508.07049v1 Announce Type: new Abstract: Anomaly detection (AD) plays a vital role across a wide range of domains, but its performance might deteriorate when applied to target domains with limited data. Domain Adaptation (DA) offers a solution by transferring knowledge from a related source…