(Copynet)Incorporating Copying Mechanism in Sequence-to-Sequence Learning論文筆記
《Incorporating Copying Mechanism in Sequence-to-Sequence Learning》 引言 最近看了一下CopyNet，感覺此網絡也是比較玄學，它能夠自動的，決定下一步的預測是生成模式還是複製模式。生成模式就是我們常說的注意力機制，複製模式就是這篇文章的一個創新點。 他的想法是來源於，人類在閱讀文章的時候，或者去做一些摘要的時候，除了自己會生成一些概
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相關文章
- 1. 論文筆記《Incorporating Copying Mechanism in Sequence-to-Sequence Learning》
- 2. Incorporating Copying Mechanism in Sequence-to-Sequence Learning
- 3. [ACL2016] Incorporating Copying Mechanism in Sequence-to-Sequence Learning
- 4. 《Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects》閱讀筆記
- 5. 實體-關係聯合抽取：Incorporating Copying Mechanism in Sequence-to-Sequence Learning
- 6. Security Risks in Deep Learning Implementations論文筆記
- 7. 論文筆記——Fair Resource Allocation in Federated Learning
- 8. 論文筆記：Learning to See in the Dark
- 9. 【論文閱讀】Incorporating copying mechanisim in sequence-to-sequence learning
- 10. 【論文筆記】Applying Differential Privacy Mechanism in Artificial Intelligence