样本价值相对学习者而定：冻结子集干预揭示学习器依赖

1. 12:00
   arXiv · Machine Learning Theory

   Useful to Whom? Sample Value Is Defined Only Relative to the Learner

   summary_zh 冻结子集干预实验表明，同一样本对不同学习者的相对价值会随模型结构变化：在低分辨率 ImageNet-100 上，将 ResNet-18 宽度加倍使 easy-first 与几何覆盖的交叉边界从 57 移至 85 每类样本；扩大输入网格而保持图像信息不变时边界左移，且宽度增大会削弱该左移。

Current heat 9·Comparable peak 10（Oct 2）·Comparable change over 24 hours –

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