BriefGPT.xyz
Nov, 2019
倒推学习倒推
Invert to Learn to Invert
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Patrick Putzky, Max Welling
TL;DR
本文提出了一种具有恒定内存的迭代逆模型,利用可逆网络避免存储中间激活数据,可以在MRI图像重建任务中训练具有400层的模型,并在公共数据集上证明这些更深、更具表现力的网络实现了最先进的图像重建。
Abstract
iterative learning
to infer approaches have become popular solvers for inverse problems. However, their memory requirements during training grow linearly with
model depth
, limiting in practice model expressivenes
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