ICML 2022Spotlight

FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers

Authors: Abishek Sankararaman, Balakrishnan Narayanaswamy, Vikramank Y Singh, Zhao Song

Abstract

Technology improvements have made it easier than ever to collect diverse telemetry at high resolution from any cyber or physical system, for both monitoring and control. In the domain of monitoring, anomaly detection has become an important problem in many research areas ranging from IoT and sensor networks to devOps. These systems operate in real, noisy and non-stationary environments. A fundamental question is then, ‘

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