Disassociating performance from compositional feature learning.

arXiv:2505.09716v4 Announce Type: replace-cross Abstract: Out-of-distribution (OOD) generalisation through composition requires a system to discover invariant properties from input-output associations and transfer them to novel inputs and unseen tasks. We argu