How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis

MLA

Zhang, Shuai, et al. How Does Unlabeled Data Improve Generalization in Self-Training? A One-Hidden-Layer Theoretical Analysis. 2022. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2201.08514&authtype=sso&custid=ns315887.

APA

Zhang, S., Wang, M., Liu, S., Chen, P.-Y., & Xiong, J. (2022). How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis.

Chicago

Zhang, Shuai, Meng Wang, Sijia Liu, Pin-Yu Chen, and Jinjun Xiong. 2022. “How Does Unlabeled Data Improve Generalization in Self-Training? A One-Hidden-Layer Theoretical Analysis.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2201.08514&authtype=sso&custid=ns315887.