Orthogonal gradient constraints shape noisy-label memorization dynamics
Read the original at arxiv.org→arXiv:2607.16231v1 Announce Type: new Abstract: Modern neural networks can fit corrupted training labels, making noisy-label learning a useful setting for studying memorization-driven overfitting. Most...
Original headline: "Orthogonal Gradient Constraints Shape Noisy-Label Memorization Dynamics"