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cs.LG2026
L-SR1: Learned Symmetric-Rank-One Preconditioning
Gal Lifshitz, Shahar Zuler, Ori Fouks +1
End-to-end deep learning has achieved impressive results but often relies on large labeled datasets, exhibits limited generalization to unseen scenarios, and incurs substantial com…
cs.LG2026
Catastrophic Forgetting is Low-Rank: A Function-Space Theory for Continual Adaptation
Ido Nitzan Hidekel, Dan Raviv
Catastrophic forgetting in continual adaptation is usually studied through parameter drift, replay, or distillation, but these views do not identify which output-space directions a…