Directional Adversarial Training for Recommender Systems
Directional Adversarial Training for Recommender Systems 論文理解與翻譯: 1.摘要: (話題方向切人,他人最近的有關成果，再次基礎上他人成果的不足。提出我們的做法，結果以及引出我們的 對抗性訓練的引入以及現階段存在的缺點： 對抗性訓練是通過在模型訓練過程中在輸入空間中進行隨機擾(perturbations)來提高深度學習模型泛化能力的有效方
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相關文章
- 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. 論文閱讀：《Wide & Deep Learning for Recommender Systems》
- 8. Wide & Deep Learning for Recommender Systems論文筆記
- 9. Graph Convolutional Neural Networks for Web-Scale Recommender Systems
- 10. 論文筆記 - Wide & Deep Learning for Recommender Systems