no code implementations • 7 Nov 2023 • Jun Sun, Zhongjie Mao, Chao Li, Chao Zhou, Xiao-Jun Wu
The common framework among recent approaches is to train the model on a large amount of unlabelled data with consistency regularization to constrain the model predictions to be invariant to input perturbation.
