METHOD AND SYSTEM FOR LEARNING TRANSFERABLE FEATURE REPRESENTATIONS FROM A SOURCE DOMAIN FOR A TARGET DOMAIN

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• 2. 一种基于元对抗学习的多目标域适应迁移方法及系统 [P] . 中国专利： CN109948648A . 2019-06-28
• 3. Method and system for learning transferable feature representations from a source domain for a target domain [P] . 美国专利： US10776693B2 . 2020-09-15

  机译： 从目标域的源域学习可转移特征表示的方法和系统

• 4. Method and system for text classification based on learning of transferable feature representations from a source domain [P] . 美国专利： US10832166B2 . 2020-11-10

  机译： 基于从源域学习可转移特征表示的文本分类方法和系统

• 5. METHOD AND SYSTEM FOR TEXT CLASSIFICATION BASED ON LEARNING OF TRANSFERABLE FEATURE REPRESENTATIONS FROM A SOURCE DOMAIN [P] . 美国专利： US2018174071A1 . 2018-06-21

  机译： 基于来自源域的可传递特征表示的文本分类方法和系统

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