ICML-Self-Tuning for Data-Efficient Deep Learning

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Self-Tuning for Data-Efficient Deep Learning

             Ximei Wang * 1 Jinghan Gao * 1 Mingsheng Long 1 Jianmin Wang 1

             Abstract                must be done by an expert such as a doctor in medical
   Deep learning has made revolutionary advances to     applications. To mitigate the requirement for labeled data,
   diverse applications in the presence of large-scale    semi-supervised learning (SSL) focuses on simultaneously
   labeled datasets. However, it is prohibitively time- ...

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