Hacker News new | past | comments | ask | show | jobs | submit login

In what way have models gotten better for tabular data? Can't think of any new technique since 2022.



There has been some work on training on lots of different data sets and then specializing on the one you care about. But I think people were trying that approach pre-2022 as well.


This has to be done with great care. Most datasets are of poor quality.


Do you have some good scientific references for that? I'd love to incorporate them in my phd thesis!


Sorry, I don't have references off the top of my head. I just recall coming across it while I was working on something related to timeseries forecasting.


Tooling around embeddings has improved. Creating and fine-tuning custom embeddings for your tabular data should be easier and more powerful these days.




Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: