Directional Adversarial Training for Recommender Systems
Directional Adversarial Training for Recommender Systems 论文理解与翻译: 1.摘要: (话题方向切人,他人最近的有关成果，再次基础上他人成果的不足。提出我们的做法，结果以及引出我们的 对抗性训练的引入以及现阶段存在的缺点： 对抗性训练是通过在模型训练过程中在输入空间中进行随机扰(perturbations)来提高深度学习模型泛化能力的有效方
相关文章
- 1. Wide & Deep Learning for Recommender Systems
- 2. Paper Reading:Wide & Deep Learning for Recommender Systems
- 3. Learning Tree-based DeepModel for Recommender Systems
- 4. Knowledge Graph Convolutional Networks for Recommender Systems
- 5. Collaborative Deep Learning for Recommender Systems
- 6. Wide &Deep Learning for Recommender Systems
- 7. 论文阅读：《Wide & Deep Learning for Recommender Systems》
- 8. Wide & Deep Learning for Recommender Systems论文笔记
- 9. Graph Convolutional Neural Networks for Web-Scale Recommender Systems
- 10. 论文笔记 - Wide & Deep Learning for Recommender Systems
- 更多相关文章...
- • Swift for 循环 - Swift 教程
- • Scala for循环 - Scala教程
- • PHP开发工具
- • C# 中 foreach 遍历的用法
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。
最新文章
- 1. 「插件」Runner更新Pro版，帮助设计师远离996
- 2. 错误 707 Could not load file or assembly ‘Newtonsoft.Json, Version=12.0.0.0, Culture=neutral, PublicKe
- 3. Jenkins 2018 报告速览，Kubernetes使用率跃升235%！
- 4. TVI-Android技术篇之注解Annotation
- 5. android studio启动项目
- 6. Android的ADIL
- 7. Android卡顿的检测及优化方法汇总（线下+线上）
- 8. 登录注册的业务逻辑流程梳理
- 9. NDK(1)创建自己的C/C++文件
- 10. 小菜的系统框架界面设计-你的评估是我的决策
欢迎关注本站公众号,获取更多信息
相关文章
- 1. Wide & Deep Learning for Recommender Systems
- 2. Paper Reading:Wide & Deep Learning for Recommender Systems
- 3. Learning Tree-based DeepModel for Recommender Systems
- 4. Knowledge Graph Convolutional Networks for Recommender Systems
- 5. Collaborative Deep Learning for Recommender Systems
- 6. Wide &Deep Learning for Recommender Systems
- 7. 论文阅读：《Wide & Deep Learning for Recommender Systems》
- 8. Wide & Deep Learning for Recommender Systems论文笔记
- 9. Graph Convolutional Neural Networks for Web-Scale Recommender Systems
- 10. 论文笔记 - Wide & Deep Learning for Recommender Systems