Web: http://arxiv.org/abs/2206.07604

June 16, 2022, 1:11 a.m. | Adam Goodge, Bryan Hooi, See Kiong Ng, Wee Siong Ng

cs.LG updates on arXiv.org arxiv.org

How can we detect anomalies: that is, samples that significantly differ from
a given set of high-dimensional data, such as images or sensor data? This is a
practical problem with numerous applications and is also relevant to the goal
of making learning algorithms more robust to unexpected inputs. Autoencoders
are a popular approach, partly due to their simplicity and their ability to
perform dimension reduction. However, the anomaly scoring function is not
adaptive to the natural variation in reconstruction error …

arxiv lg scoring

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