BriefGPT.xyz
May, 2017
深度适应实现增量学习
Incremental Learning Through Deep Adaptation
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Amir Rosenfeld, John K. Tsotsos
TL;DR
提出了一种名为Deep Adaptation Networks的方法，通过在现有神经网络中添加线性组合的新滤波器来实现学习新技能，而不影响已经学习的性能，以及在各种图像分类任务中表现出良好的效果。
Abstract
Given an existing trained
neural network
, it is often desirable to be able to add new capabilities without hindering
performance
of already learned tasks. Existing approaches either learn sub-optimal solutions, r
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