A meta-learned transformer for tabular data: https://t.co/3rlNtJa2hc I was waiting for this to happen, and I'm pretty convinced that's where ML will go. From Frank Hutter's (imho legendary) lab!
— Andreas Mueller (@amuellerml) October 21, 2022
A meta-learned transformer for tabular data: https://t.co/3rlNtJa2hc I was waiting for this to happen, and I'm pretty convinced that's where ML will go. From Frank Hutter's (imho legendary) lab!
— Andreas Mueller (@amuellerml) October 21, 2022
Wow, below is the 2nd paper shared today on deep tabular methods!
— Sebastian Raschka 📚 (@rasbt) October 21, 2022
The deep learning from tabular data research field is on fire today 🔥!
(PS: And don't forget about diffusion models for tabular data: https://t.co/CaEWyMyqnK 😁)
(PPS: My reviews will follow soon 😊) https://t.co/xupH4Znh3e
It's always exciting to add a new method to the deep tabular list: https://t.co/pWOAwqiTS0.
— Sebastian Raschka 📚 (@rasbt) October 23, 2022
Just read through the paper. It's an intriguing fresh take on deep learning for tabular data, combining approximate Bayesian inference and transformer tokenization. [1/6] https://t.co/iJeYGFC9dG