2025
SACR: Self-training with Saliency-Augmented Consistency Regularization for Few-Shot Learners
ICASSP 2025accepted
Pre-trained language models have made significant strides in natural language processing tasks, enabling flexible fine-tuning for downstream applications. However, in few-shot learning scenarios, pre-trained models face challenges related to overfitting due to limited training samples, which hinders…