Papers with asLayer-wiseNoiseStabilityRegularization
Noise Stability Regularization for Improving BERT Fine-tuning (2021.naacl-main)
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| Challenge: | Recent studies show that fine-tuning pre-trained language models is unstable when there are only a small number of training samples available. |
| Approach: | They propose to use a method to regularize noise in deep nets to improve fine-tuning on NLP tasks. |
| Outcome: | The proposed method improves fine-tuning on natural language processing tasks by incorporating noise to the input and demonstrating generalizability and stability. |