arXiv-2020-A Survey of Deep Active Learning

[BrambleXu]

Summary:

DL的本质是需要大量数据的，而AC的本质是用少量数据。随着DL的崛起，依赖于传统ML模型的AC有点不合潮流。如何将AL用于神经网络是一个课题。于是有了DAL。

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Paper information:

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Notes:

1 INTRODUCTION

AL很难处理高维数据，所以出现了DL和AL的合体，DAL。

DAL has been widely utilized in various fields, including image recognition [35, 47, 53, 68], text classification [145, 180, 185], visual question answering [98] and object detection [3, 39, 121]

其中DAL的流程和AL没什么太大的差别。