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EICO: Improving Few-Shot Text Classification via Explicit and Implicit Consistency Regularization
For explicit consistency regularization, we minimize the difference between the prediction of the augmentation view and the prediction of the original view.
Prompt Tuning for Multi-View Graph Contrastive Learning
Third, we design a prompting tuning method for our multi-view graph contrastive learning method to bridge the gap between pretexts and downsteam tasks.
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