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anomaly_detection [2018/09/15 15:02]
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anomaly_detection [2018/12/06 14:53] (current)
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 https://​arxiv.org/​abs/​1809.04758 Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series https://​arxiv.org/​abs/​1809.04758 Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series
  
 +https://​arxiv.org/​abs/​1810.01392v1 Generative Ensembles for Robust Anomaly Detection
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 +we propose Generative Ensembles, a model-independent technique for OoD detection that combines density-based anomaly detection with uncertainty estimation. Our method outperforms ODIN and VIB baselines on image datasets, and achieves comparable performance to a classification model on the Kaggle Credit Fraud dataset. https://​github.com/​hschoi1/​rich_latent
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 +https://​www.youtube.com/​watch?​v=2BpJcOf-1XA https://​github.com/​takashiishida/​pconf Binary Classification from Positive-Confidence Data