Mitigating convergence collapse in fixed-target anomaly detectors via kernel-anchored locality regularization
Read the original at arxiv.org→arXiv:2610.02345v1 Announce Type: new Abstract: A family of tabular anomaly detectors trains a neural map toward a fixed target under squared-error loss and scores anomalies by the test-time residual; contraction...
Original headline: "Mitigating Convergence Collapse in Fixed-Target Anomaly Detectors via Kernel-Anchored Locality Regularization"
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- Oct 5, 04:00 UTC arXiv cs.LG lead source Mitigating Convergence Collapse in Fixed-Target Anomaly Detectors via Kernel-Anchored Locality Regularization