[alpineidyll3]

Basically in any cases of small data? Anything with less than 8000 points or so. It's a struggle to avoid ingesting bias into a deep model for such tiny data.

That said, it's pretty saturated as a field of study. People work on uncertainty quantification etc. But it's unclear what numbers people would want to improve.