Universal Language Model Fine-tuning for Text Classification

时间 2019-12-07

标签 universal language model fine tuning text classification 栏目 HTML 繁體版

原文原文链接

参考论文：Universal Language Model Fine-tuning for Text Classification网络迁移学习最先是应用于机器视觉方向的，迁移学习是从general到specific的过程，在general过程当中在大型语料库中进行预训练(pre-training),在specific过程当中在specific task领域中进行微调(fine-t

>>阅读原文<<

1. Universal Language Model Fine-tuning for Text Classification
2. 【论文阅读笔记】Universal Language Model Fine-tuning for Text Classification
3. “Universal Language Model Fine-tuning for Text Classification”论文解读
4. 文献阅读笔记—Universal Language Model Fine-tuning for Text Classification
5. 将迁移学习用于文本分类《 Universal Language Model Fine-tuning for Text Classification》
6. CNNs for Text Classification
7. Recurrent Convolutional Neural Networks for Text Classification
8. Adversarial Multi-task Learning for Text Classification
9. Enriching Pre-trained Language Model with Entity Information for Relation Classification论文阅读
10. 论文浅尝 | Enriching Pre-trained Language Model with Entity Information for Relation Classification
更多相关文章...
• RSS 元素 - RSS 教程
• SVG - SVG 教程
• YAML 入门教程
• 为了进字节跳动，我精选了29道Java经典算法题，带详细讲解

最新文章

1. 外部其他进程嵌入到qt FindWindow获得窗口句柄报错无法链接的外部符号 [email protected] 无法被([email protected]@[email protected]@@引用
2. UVa 11524 - InCircle
3. The Monocycle（bfs）
4. VEC-C滑窗
5. 堆排序的应用-TOPK问题
6. 实例演示ElasticSearch索引查询term,match,match_phase,query_string之间的区别
7. 数学基础知识集合
8. amazeUI 复择框问题解决
9. 背包问题理解
10. 算数平均-几何平均不等式的证明,从麦克劳林到柯西

本站公众号

欢迎关注本站公众号,获取更多信息

1. Universal Language Model Fine-tuning for Text Classification
2. 【论文阅读笔记】Universal Language Model Fine-tuning for Text Classification
3. “Universal Language Model Fine-tuning for Text Classification”论文解读
4. 文献阅读笔记—Universal Language Model Fine-tuning for Text Classification
5. 将迁移学习用于文本分类《 Universal Language Model Fine-tuning for Text Classification》
6. CNNs for Text Classification
7. Recurrent Convolutional Neural Networks for Text Classification
8. Adversarial Multi-task Learning for Text Classification
9. Enriching Pre-trained Language Model with Entity Information for Relation Classification论文阅读
10. 论文浅尝 | Enriching Pre-trained Language Model with Entity Information for Relation Classification

>>更多相关文章<<