Self-critical Sequence Training

时间 2021-01-18

标签 Nature language Programming Reinforcement learning 繁體版

原文原文链接

Self-critical Sequence Training for Image Captioning是IBM研究团队在CVPR 2017上发表的一篇论文，主要介绍了一种基于self-critical思想的强化学习方法来训练序列生成模型。论文背景该论文的背景与上周介绍的Sequence Level Training with Recurrent Neural Networks一文相似，后者为

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1. Sequence discriminative training
2. BART: Denoising Sequence-to-Sequence Pre-training翻译
3. Self-critical Sequence Training for Image Captioning
4. 文献阅读笔记-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. 论文笔记：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翻译
3. Self-critical Sequence Training for Image Captioning
4. 文献阅读笔记-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. 论文笔记：Self-critical Sequence Training for Image Captioning
9. Translation with a Sequence to Sequence Network and Attention
10. Sequence Labeling Problem

>>更多相关文章<<