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anomaly_detection [2018/10/10 12:01]
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anomaly_detection [2018/12/06 14:53]
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 https://​arxiv.org/​abs/​1810.01392v1 Generative Ensembles for Robust Anomaly Detection https://​arxiv.org/​abs/​1810.01392v1 Generative Ensembles for Robust Anomaly Detection
  
-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.+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