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Unsupervised Data Augmentation for Consistency Training
時間 2020-12-30
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論文地址:https://arxiv.org/pdf/1904.12848v4.pdf 官方實現代碼(tensorflow):https://github.com/google-research/uda 同樣來自於谷歌的,偶然看到的,關於無監督數據增強方法 文章主要在三種任務上進行了相關實驗:文本分類、圖像分類、遷移學習 創新點: 監督學習中的數據增強方法在半監督學習中同樣可以用來對無標籤數據進行
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相關文章
1.
Unsupervised Data Augmentation For Consistency Training 論文閱讀
2.
弱監督學習--半監督學習(5):UNSUPERVISED DATA AUGMENTATION FOR CONSISTENCY TRAINING
3.
(轉)AutoML for Data Augmentation
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