arxiv
PublishedMay 6, 2026 at 4:00 AM
—neutral
Anon: Extrapolating Optimizer Adaptivity Across the Real Spectrum
Publisher summary· verbatim
arXiv:2605.02317v1 Announce Type: new Abstract: Adaptive optimizers such as Adam have achieved great success in training large-scale models like large language models and diffusion models. However, they often generalize worse than non-adaptive methods, such as SGD on classical architectures like CNN
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