[P] Semi-supervised learning for tabular data: VIME

A lot of recent DL models for tabular data have used some sort of pre-training to increase the robustness and performance metrics on smaller/noisy datasets. That's why I've decided to write a [deep-dive blog](https://syslog.ravelin.com/fraud-detection-with-minimum-labels-semi-supervised-learning-d2f8e7136da6) into a VIME paper which was one of the first to suggest pre-training tasks specific for tabular data.

It comes with an accompanying [repo](https://github.com/aruberts/blogs/tree/main/vime) that contains all the code and notebooks. From some personal testing that I've done, pre-training is the most valuable does improve the …

data learning machinelearning semi-supervised semi-supervised learning supervised learning tabular tabular data