Automatic generation of sentimental texts via mixture adversarial networks讀書筆記
Automatic generation of sentimental texts via mixture adversarial networks讀書筆記 創新 提出了一個新穎的框架SentiGAN，以生成具有不同情感標籤的通用、多樣化和高質量的情感文本。 提出一個擴展模型C-SentiGAN，以處理條件性情感文本生成問題。 提出了一個基於懲罰的新目標，以使我們模型中的每個生成器都生成具有特定情
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相關文章
- 1. SentiGAN: Generating Sentimental Texts via Mixture Adversarial Networks論文筆記
- 2. CVPR18讀文筆記：SINT++：Robust Visual Tracking via Adversarial Postive Instance Generation
- 3. 《Long Text Generation via Adversarial Training with Leaked Information》閱讀筆記
- 4. Generating Adversarial Examples with Adversarial Networks閱讀筆記
- 5. 論文閱讀：Automatic Generation of Data-Oriented Exploits
- 6. 【論文筆記】WarpGAN: Automatic Caricature Generation
- 7. 【綜述筆記】 A survey of automatic generation of source code comments Algorithms and techniques
- 8. 論文筆記：Automatic generation of HCCA-resistant scalar multiplication algorithm by proper sequencing of
- 9. VITAL: Visual Tracking via Adversarial Learning 閱讀筆記
- 10. CVPR2018讀文筆記：VITAL：VIsual Tracking via Adversarial Learning