Back to search

Article

Scaffolded representation learning in deep networks

2026-04-16

Abstract excerpt

<title>Abstract</title> <p>Deep networks learn coarse structure before fine-grained distinctions, yet whether coarse structure actively scaffolds later differentiation remains untested. Here we show that representations assemble through a load-bearing scaffold. Tracking features at per-sample resolution across 55 runs, three architecture families and two training datasets, we find a reproducible three-phase progr...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
d4fe1552-7552-503c-9a36-8f007494c332
DOI
10.21203/rs.3.rs-9269961/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Scaffolded representation learning in deep networksDOI 10.21203/rs.3.rs-9269961/v1
Select a neighboring publication to make it the new centre.