The paper formalizes continual semi-supervised anomaly detection and presents a VAE-based baseline with generative replay and outlier rejection, reporting AUC scores on three image datasets.
Learning on the job: Online lifelong and continual learning
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Deep evolving semi-supervised anomaly detection
The paper formalizes continual semi-supervised anomaly detection and presents a VAE-based baseline with generative replay and outlier rejection, reporting AUC scores on three image datasets.