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
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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