RaPP: Novelty Detection with Reconstruction along Projection Pathway

1 code implementation • ICLR 2020 • Ki Hyun Kim, Sangwoo Shim, Yongsub Lim, Jongseob Jeon, Jeongwoo Choi, Byungchan Kim, Andre S. Yoon

We show that if we feed a reconstructed input to the same autoencoder again, its activated values in a hidden space are equivalent to the corresponding reconstruction in that hidden space given the original input.

Anomaly Detection Novelty Detection

Semi-supervised Learning with Deep Generative Models for Asset Failure Prediction

no code implementations • 4 Sep 2017 • Andre S. Yoon, Taehoon Lee, Yongsub Lim, Deokwoo Jung, Philgyun Kang, Dongwon Kim, Keuntae Park, Yongjin Choi

This work presents a novel semi-supervised learning approach for data-driven modeling of asset failures when health status is only partially known in historical data.