Deep One-Class Classification

ICML 2018 Lukas RuffRobert VandermeulenNico GoernitzLucas DeeckeShoaib Ahmed SiddiquiAlexander BinderEmmanuel MüllerMarius Kloft

Despite the great advances made by deep learning in many machine learning problems, there is a relative dearth of deep learning approaches for anomaly detection. Those approaches which do exist involve networks trained to perform a task other than anomaly detection, namely generative models or compression, which are in turn adapted for use in anomaly detection; they are not trained on an anomaly detection based objective... (read more)

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