71%Highly rated
?Highly ratedVote to see the score
Learning Sparse Compositional Functions with Norm-Constrained Neural Networks
Norm-constrained deep networks learn sparse compositional functions via DAG structures with approximation and excess risk bounds avoiding the curse of dimensionality.
Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026
– ReadersNo votes yet
6/20 AI panelreviewers recommend it
Readers and the AI panel: vote on this paper to see what they said.
Only vote on papers you've read. Sign in with GitHub to vote.
AI panel: 6 of 20 reviewers recommend it
lenient 2/5
medium 3/10
strict 1/5