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anomaly_detection [2018/10/10 12:02]
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anomaly_detection [2018/12/06 14:53]
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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 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