[ACL2019 Best Paper] Bridging the Gap between Training and Inference for Neural Machine Translation - 代码天地

[ACL2019 Best Paper] Bridging the Gap between Training and Inference for Neural Machine Translation

企业开发 2023-07-01 05:28:51 阅读次数: 0

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转载自blog.csdn.net/iling5/article/details/101681405

[ACL2019 Best Paper] Bridging the Gap between Training and Inference for Neural Machine Translation

Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation翻译

Paper Summary: Neural Machine Translation

[ATSS]Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample

NEURAL MACHINE TRANSLATION

2019-ICCV-Progressive Differentiable Architecture Search Bridging the Depth Gap Between Search and Evaluation-论文阅读

NLP paper精读（二）——NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE

《Neural Machine Translation in Linear Time》

《PDARTS：Bridging the Depth Gap between Search and Evaluation》论文笔记

nlp paper：【第4篇】基于神经网络的机器翻译（NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE）

Neural+machine+translation+with+attention+-+v3

Phrase-Based & Neural Unsupervised Machine Translation

Low-resource Neural Machine Translation

Sequence Models Week 3 Neural Machine Translation

Unsupervised Neural Machine Translation with Weight Sharing

Unsupervised Neural Machine Translation with SMT as Posterior Regularization

INCORPORATING BERT INTO NEURAL MACHINE TRANSLATION翻译

Explicit Sentence Compression for Neural Machine Translation翻译

Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation

论文阅读：《Neural Machine Translation by Jointly learning to Align and Translation》

Paper Review: FINN: A Framework for Fast, Scalable Binarized Neural Network Inference

论文笔记：Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation

论文笔记系列--Progressive Differentiable Architecture Search：Bridging the Depth Gap between Search and Evaluation

Bridging the Gap Between Relevance Matching and Semantic Matching for Short Text Similarity Modeling

论文阅读 | Bridging the Gap Between Relevance Matching and Semantic Matching for Short Text Similarity Modeling

[目标检测]--CVPR2020-ATSS：Bridging the Gap Between Anchor-based and Anchor-free Detection

CVPR2020oral: Bridging the Gap Between Anchor-based and Anchor-free Detection 论文翻译

论文翻译：Training Deep Networks with Synthetic Data:Bridging the Reality Gap by Domain Randomization

Artetxe - 2019ACL - An Effective Approach to Unsupervised Machine Translation

【论文阅读】Neural Machine Translation by Jointly Learning to Align and Translate

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