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研讀何凱明大作Momentum contrast for unsupervised representation learning
時間 2021-01-13
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Abstract 本文提出Momentum Contrast(MoCo)用於無監督視覺表徵學習。從contrastive learning的角度,通過一個隊列和移動平均的encoder構建動態詞典。在線構建一個大的且一致性詞典,靈活適配於contrastive unsupervised learning。 Introduction 無監督表徵在NLP領域獲得極大成功,例如GPT和BERT。但是,在
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相關文章
1.
Momentum Contrast for Unsupervised Visual Representation Learning
2.
【MoCo】《Momentum Contrast for Unsupervised Visual Representation Learning》
3.
論文閱讀筆記:Momentum Contrast for Unsupervised Visual Representation Learning
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無監督學習 MoCo: Momentum Contrast for Unsupervised Visual Representation Learning
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An Unsupervised Autoregressive Model for Speech Representation Learning
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論文閱讀——Mockingjay: unsupervised speech representation learning
9.
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