BriefGPT.xyz
Feb, 2017
主动一次性学习
Active One-shot Learning
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Mark Woodward, Chelsea Finn
TL;DR
使用强化学习和单样本学习相结合的方法，使得模型能够在分类过程中决定哪些样本需要标注，我们提出了一种基于递归神经网络的动作值函数来实现，通过选择奖励函数，该模型能够在减少样本标注需求的同时达到更高的准确率。
Abstract
Recent advances in
one-shot learning
have produced models that can learn from a handful of labeled examples, for passive classification and regression tasks. This paper combines
reinforcement learning
with
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