Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting

Deep pretrained language models have achieved great success in the way of pretraining first and then fine-tuning. But such a sequential transfer learning paradigm often confronts the catastrophic forgetting problem and leads to sub-optimal performance... (read more)

PDF Abstract EMNLP 2020 PDF EMNLP 2020 Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper