83%Must read
?Must readVote to see the score
Radial-Angular Geometry for Reliable Update Diagnosis in Noisy-Label Learning
RGC diagnoses noisy-label updates via radial-angular geometry, distinguishing harmful mislabeled updates from useful hard-clean ones to improve accuracy.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
– ReadersNo votes yet
13/20 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: 13 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 1/5