Learning from data in the mixed adversarial non-adversarial case: Finding the helpers and ignoring the trolls

MLA

Ju, Da, et al. Learning from Data in the Mixed Adversarial Non-Adversarial Case: Finding the Helpers and Ignoring the Trolls. 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.2208.03295&authtype=sso&custid=ns315887.

APA

Ju, D., Xu, J., Boureau, Y.-L., & Weston, J. (2022). Learning from data in the mixed adversarial non-adversarial case: Finding the helpers and ignoring the trolls.

Chicago

Ju, Da, Jing Xu, Y-Lan Boureau, and Jason Weston. 2022. “Learning from Data in the Mixed Adversarial Non-Adversarial Case: Finding the Helpers and Ignoring the Trolls.” 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.2208.03295&authtype=sso&custid=ns315887.