Self-critical Sequence Training

時間 2021-01-18

標籤 Nature language Programming Reinforcement learning 简体版

原文原文鏈接

Self-critical Sequence Training for Image Captioning是IBM研究團隊在CVPR 2017上發表的一篇論文，主要介紹了一種基於self-critical思想的強化學習方法來訓練序列生成模型。論文背景該論文的背景與上週介紹的Sequence Level Training with Recurrent Neural Networks一文相似，後者爲

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1. Sequence discriminative training
2. BART: Denoising Sequence-to-Sequence Pre-training翻譯
3. Self-critical Sequence Training for Image Captioning
4. 文獻閱讀筆記-MASS： Masked Sequence to Sequence Pre-training for Language Generation
5. 2018 Multi-University Training Contest 7 （hdu6395 Sequence）
6. 2018 Multi-University Training Contest 1 G（Chiaki Sequence Revisited）
7. Write a Sequence to Sequence (seq2seq) Model
8. 論文筆記：Self-critical Sequence Training for Image Captioning
9. Translation with a Sequence to Sequence Network and Attention
10. Sequence Labeling Problem
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1. Sequence discriminative training
2. BART: Denoising Sequence-to-Sequence Pre-training翻譯
3. Self-critical Sequence Training for Image Captioning
4. 文獻閱讀筆記-MASS： Masked Sequence to Sequence Pre-training for Language Generation
5. 2018 Multi-University Training Contest 7 （hdu6395 Sequence）
6. 2018 Multi-University Training Contest 1 G（Chiaki Sequence Revisited）
7. Write a Sequence to Sequence (seq2seq) Model
8. 論文筆記：Self-critical Sequence Training for Image Captioning
9. Translation with a Sequence to Sequence Network and Attention
10. Sequence Labeling Problem

>>更多相關文章<<