原文:論文筆記: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 推薦指數:

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

鄭重聲明:原文參見標題,如有侵權,請聯系作者,將會撤銷發布! ICML 2017 Abstract   我們提出了一種與模型無關的元學習算法,從某種意義上說,該算法可與通過梯度下降訓練 ...

Wed Sep 09 01:27:00 CST 2020 0 432
SegFix: Model-Agnostic Boundary Refinement for Segmentation(ECCV2020)論文筆記

1 問題描述 本文提出了一種模型無關的后處理方案,即用內部像素的預測代替原來不可靠的邊界像素預測,以提高由任何現有分割模型生成的分割結果的邊界質量。該方法僅對輸入圖像進行兩步處理:(i)定位邊界像素 ...

Mon Aug 31 17:25:00 CST 2020 0 896
論文筆記(2):A fast learning algorithm for deep belief nets.

論文筆記(2):A fast learning algorithm for deep belief nets. 這幾天繼續學習一篇論文,Hinton的A Fast Learning Algorithm for Deep Belief Nets。這篇論文一開始讀起來是相當費勁的,學習 ...

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