原文:论文笔记:Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Model Agnostic Meta Learning for Fast Adaptation of Deep Networks ICML Paper:https: arxiv.org pdf . .pdf Code for the regression and supervised experiments:https: github.com cbfinn maml Code for the R ...

2018-09-09 21:37 0 1792 推荐指数:

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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

郑重声明:原文参见标题,如有侵权,请联系作者,将会撤销发布! ICML 2017 Abstract   我们提出了一种与模型无关的元学习算法,从某种意义上说,该算法可与通过梯度下降训练 ...

Wed Sep 09 01:27:00 CST 2020 0 432
SegFix: Model-Agnostic Boundary Refinement for Segmentation(ECCV2020)论文笔记

1 问题描述 本文提出了一种模型无关的后处理方案,即用内部像素的预测代替原来不可靠的边界像素预测,以提高由任何现有分割模型生成的分割结果的边界质量。该方法仅对输入图像进行两步处理:(i)定位边界像素 ...

Mon Aug 31 17:25:00 CST 2020 0 896
论文笔记(2):A fast learning algorithm for deep belief nets.

论文笔记(2):A fast learning algorithm for deep belief nets. 这几天继续学习一篇论文,Hinton的A Fast Learning Algorithm for Deep Belief Nets。这篇论文一开始读起来是相当费劲的,学习 ...

Wed May 16 07:05:00 CST 2018 0 3986
 
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