arXiv cs.AI
· Papers
Supervised Learning Has a Geometric Blind Spot
arXiv:2604.21395v3 Announce Type: replace-cross Abstract: Ordinary supervised training minimises the task loss and then stops. It never pays for how far the representation moves when the input is nudged along directions that helped fit training labels---including directions that are nuisance at deployment. We call that