BriefGPT.xyz
Jul, 2020
快速可微的剪裁感知归一化和重新调整
Fast Differentiable Clipping-Aware Normalization and Rescaling
HTML
PDF
Jonas Rauber, Matthias Bethge
TL;DR
通过一种快速可微的算法,可以找到在向量裁剪后所需的最佳缩放量,从而有效地减小干扰并重新调整向量。
Abstract
rescaling
a vector $\vec{\delta} \in \mathbb{R}^n$ to a desired length is a common operation in many areas such as data science and machine learning. When the rescaled
perturbation
$\eta \vec{\delta}$ is added to
→