Tweeted By @ml_review
TabNet: Attentive Interpretable Tabular Learning
— ML Review (@ml_review) December 20, 2020
By @sercanarik @tomaspfister
Automates feature engineering for tabular models
Learns representations through unsupervised pre-training to predict masked features + supervised fine-tuning https://t.co/4xDY5O24tC pic.twitter.com/clKlkWH4sp