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cs.LG2026
Weight-norm Criticality: A Mechanism for Loss Spikes Induced by the Normalization and Weight Decay
Xiaolong Li, Zhangchen Zhou, Zhi-Qin John Xu
Most explanations of training instability focus on \emph{learning-rate criticality}, typically characterized by the Edge of Stability, beyond which optimization becomes unstable. W…
cs.LG2026
Adaptive Preconditioners Trigger Loss Spikes in Adam
Zhiwei Bai, Zhangchen Zhou, Jiajie Zhao +6
Loss spikes commonly emerge during neural network training with the Adam optimizer across diverse architectures and scales, yet their underlying mechanism remains elusive. While pr…