Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation，arxiv2022 - 代码天地

Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation，arxiv2022

企业开发 2023-04-10 05:15:24 阅读次数: 0

在这里插入图片描述

我是目录！

Introduction
Preliminaries
Dual Contrastive Learning
- Dual Contrastive Loss
- Theoretical Justification of DualCL
Experiments

北航出的一篇很有趣的文章，旨在将对比学习引入到有监督的学习框架中。引入了一个双重对比学习(DualCL)框架，该框架可以在同一空间中同时学习输入样本的特征和分类器的参数。具体来说，DualCL将分类器的参数视为与不同标签相关联的增强样本，然后利用输入样本与增强样本之间的对比学习。通过对5个基准文本分类数据集及其低资源版本的实证研究，验证了DualCL在分类精度方面的改进，并验证了其学习判别表示的能力，尤其是在样本数量较少的

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