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cs.LG 1

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2024 1

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CONDITIONAL 1

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End-to-End Convolutional Activation Anomaly Analysis for Anomaly Detection

cs.LG · 2024-11-21 · conditional · novelty 6.0

An end-to-end convolutional autoencoder plus a convolutional alarm network, trained jointly on reconstruction and classification losses, achieves near-state-of-the-art anomaly detection AUC on MNIST, Fashion-MNIST, CIFAR-10, and several tabular datasets.

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  • End-to-End Convolutional Activation Anomaly Analysis for Anomaly Detection cs.LG · 2024-11-21 · conditional · none · ref 7

    An end-to-end convolutional autoencoder plus a convolutional alarm network, trained jointly on reconstruction and classification losses, achieves near-state-of-the-art anomaly detection AUC on MNIST, Fashion-MNIST, CIFAR-10, and several tabular datasets.