BriefGPT.xyz
Mar, 2022
数据增强作为特征操作
Data Augmentation as Feature Manipulation: a story of desert cows and grass cows
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Ruoqi Shen, Sébastien Bubeck, Suriya Gunasekar
TL;DR
本文研究数据增强对学习过程动态的影响，发现数据增强可以改变各种特征的相对重要性，特别是对于神经网络等非线性模型更为明显，可以被看作是特征操作。
Abstract
data augmentation
is a cornerstone of the
machine learning
pipeline, yet its theoretical underpinnings remain unclear. Is it merely a way to artificially augment the data set size? Or is it about encouraging the
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