论文阅读 | Towards a Robust Deep Neural Network in Text Domain A Survey
原文链接：http://www.cnblogs.com/shona/p/11305232.html 论文阅读 | Towards a Robust Deep Neural Network in Text Domain A Survey 摘要 这篇文章主要总结文本中的对抗样本，包括器中的攻击方法和防御方法，比较它们的优缺点。 最后给出这个领域的挑战和发展方向。 1 介绍 对抗样本有两个核心：一是
相关文章
- 1. 论文阅读-《Towards a Robust Deep Neural Network in Texts: A Survey》
- 2. 《TextBoxes: A Fast Text Detector with a Single Deep Neural Network》阅读翻译
- 3. 论文笔记：TextBoxes: A Fast Text Detector with a Single Deep Neural Network
- 4. [论文笔记]TextBoxes A Fast Text Detector with a Single Deep Neural Network
- 5. Deep visual domain adaptation: A survey
- 6. 论文阅读：ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
- 7. 【论文笔记】A Survey on Deep Learning for Named Entity Recognition
- 8. 【论文】Text Detection and Recognition in Imagery: A Survey
- 9. Meta-Learning: A Survey||论文阅读
- 10. Distilling the Knowledge in a Neural Network[论文阅读笔记]
- 更多相关文章...
- • RSS 阅读器 - RSS 教程
- • C# 文本文件的读写 - C#教程
- • JDK13 GA发布：5大特性解读
- • Scala 中文乱码解决
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. 论文阅读-《Towards a Robust Deep Neural Network in Texts: A Survey》
- 2. 《TextBoxes: A Fast Text Detector with a Single Deep Neural Network》阅读翻译
- 3. 论文笔记：TextBoxes: A Fast Text Detector with a Single Deep Neural Network
- 4. [论文笔记]TextBoxes A Fast Text Detector with a Single Deep Neural Network
- 5. Deep visual domain adaptation: A survey
- 6. 论文阅读：ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
- 7. 【论文笔记】A Survey on Deep Learning for Named Entity Recognition
- 8. 【论文】Text Detection and Recognition in Imagery: A Survey
- 9. Meta-Learning: A Survey||论文阅读
- 10. Distilling the Knowledge in a Neural Network[论文阅读笔记]