English(EN) Beyond Quadratic Loss: The Stability Phase Diagram of Adam

研究人员揭示Adam优化器的稳定性相图

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-17 04:00

研究人员为Adam优化器识别出了一个稳定性相图，揭示了其两个动量时间尺度如何控制训练不稳定性。他们发现在$(\beta_1,\beta_2)$平面上存在一个近似线性的边界，该边界将尖峰动态与非尖峰动态分开，这与损失函数的有效指数相关。该边界通过将Adam的动量时间尺度与二次损失之外的有限尺度超二次损失的几何形状联系起来，有助于解释损失尖峰。 AI

影响提供了对神经网络训练不稳定性更深入的理解，可能导致更鲁棒的优化技术。

排序理由学术论文，详细介绍了优化器动态方面的新发现。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv stat.ML 阅读 →

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报道来源 [1]

arXiv stat.ML TIER_1 English(EN) · Gaoxiang Tang, Huanran Chen, Ziming Liu · 2026-09-17 04:00

超越二次损失：Adam 的稳定性相图

arXiv:2609.18314v1 Announce Type: cross Abstract: Loss spikes are recurrent instabilities in neural-network training and can arise from multiple mechanisms. For Adam in particular, macroscopic loss spikes have been linked to optimizer dynamics, yet how its two momentum timescales…

本文如何被排名

报道来源 [1]

超越二次损失：Adam 的稳定性相图

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