Understanding the limitations of self-supervised learning for tabular anomaly detection

Kimberly T. Mai, Toby Davies, Lewis D. Griffin

While self-supervised learning has improved anomaly detection in computer vision and natural language processing, it is unclear whether tabular data can benefit from it. This paper…