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Bridging the Gap between Training and Inference for Neural Machine Translation翻譯
時間 2020-07-21
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Bridging the Gap between Training and Inference for Neural Machine Translation 翻譯 原文連接:https://arxiv.org/abs/1906.02448 摘要 神經機器翻譯(NMT)以根據上下文詞生成下一個詞的方式順序生成目標詞序列。在訓練時,它根據真實(這裏及下文的真實都是指訓練集中真實的譯文句子)上下文進行預
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1.
Bridging the Gap Between Relevance Matching and Semantic Matching for Short Text Similarity Modeling
2.
Bridging the Gap Between Detection and Tracking: A Unified Approach
3.
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目標檢測論文: Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample
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[目標檢測]Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample S
6.
解讀《Bridging the Gap Between Anchor-based and Anchor-free Detection》
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Classification and inference with machine learning
8.
翻譯:Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
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Bridging the Gap Between Anchor-based and Anchor-free Detection via ATSS論文閱讀 - CVPR2020 oral
10.
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