BriefGPT.xyz
May, 2024
子空间节点修剪
Subspace Node Pruning
HTML
PDF
Joshua Offergeld, Marcel van Gerven, Nasir Ahmad
TL;DR
使用节点剪枝和子空间形成技术,该论文提出了可以在保持网络性能最大化的同时去除计算单元来提高深度网络的效率,通过重新组织网络和使用正交子空间来选择合适的剪枝比例,并在VGG和残差网络中验证了该方法的优越性。
Abstract
A significant increase in the commercial use of
deep neural network models
increases the need for efficient AI.
node pruning
is the art of removing computational units such as neurons, filters, attention heads, o
→