2022
Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively
NeurIPS 2022accept
Large-scale pre-trained language models have achieved impressive results on a wide range of downstream tasks recently. However, fine-tuning an extremely large-scale pre-trained language model on limited target datasets is often plagued by overfitting and representation degradation. In this paper, we…