English(EN) A Generalisation Signal Need Not Be a Model-Selection Signal

新研究质疑Hessian迹作为可靠模型选择信号的有效性

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-01 04:00

一篇新的研究论文探讨了使用内部模型属性，特别是Hessian迹及其特征值，作为外部验证数据不可靠时模型选择的代理。研究发现，虽然这些几何信号可以与泛化差距相关，但它们不能持续地识别出最佳性能模型以供部署。研究表明，指示泛化的信号不一定能转化为有效的模型选择信号。 AI

影响对内部模型指标在现实部署场景中选择模型的效用提出了挑战。

排序理由该集群包含一篇关于机器学习新研究发现的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Aditya Nagarsekar, M P Ashish Bhat, Aadi Nesarkar, Vrishti Godhwani, Rahul Yedida, Aditya Challa, Danda Sravan, Snehanshu Saha · 2026-10-01 04:00

泛化信号不一定是模型选择信号

arXiv:2609.39099v1 Announce Type: cross Abstract: Model selection in computational biology often relies on validation data drawn from the training regime, even when deployment lies outside it. When validation no longer preserves which model is best, a natural alternative is to ra…