VIME
Value Imputation and Mask Estimation
**VIME **, or **Value Imputation and Mask Estimation**, is a self- and semi-supervised learning framework for tabular data. It consists of a pretext task of estimating mask vectors from corrupted tabular data in addition to the reconstruction pretext task for self-supervised learning.
VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain
https://paperswithcode.com/paper/vime-extending-the-success-of-self-and-semi
VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain