A Global Geometric Analysis of Maximal Coding Rate Reduction

P Wang, H Liu, D Pai, Y Yu, Z Zhu, Q Qu… - arXiv preprint arXiv …, 2024 - arxiv.org
The maximal coding rate reduction (MCR $^ 2$) objective for learning structured and
compact deep representations is drawing increasing attention, especially after its recent …

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

KT Mai, T Davies, LD Griffin - Pattern Analysis and Applications, 2024 - Springer
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 …