文獻閱讀筆記：Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer(T5)
文章目錄 0. 背景 0.1 摘要 1. 介紹 2. 模型 2.1 輸入和輸出格式 3. 實驗 3.1 baseline 3.2 對比的框架 3.3 無監督目標函數 3.4 預訓練數據集 3.5 訓練策略 3.5.1 微調策略 3.5.2 多任務學習 3.6 規模的影響 4. 總結和展望 展望 0. 背景 機構：谷歌 作者： Colin Raffel 發佈地方：arxiv 面向任務：自然語言理解
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相關文章
- 1. 閱讀筆記：Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
- 2. 讀文獻 Large Scale Learning of General Visual Representations for Transfer 閱讀心得
- 3. 《Who’s Afraid of Adversarial Queries The Impact of Image》文獻閱讀筆記
- 4. 文獻閱讀筆記5 On the Use of Deep Learning for Blind Image Quality Assessment（2D）
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- 7. 論文閱讀：A Survey on Transfer Learning
- 8. iO6 Programming pushing the limits 閱讀筆記
- 9. 文獻閱讀：The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
- 10. Transfer Learning in a Transductive Setting閱讀筆記NIPS2013