SFA reduces forgetting in continual learning by averaging the currently training model with a checkpoint from previous tasks during fine-tuning, matching data-buffer rehearsal without storing past data.
URL https://aclanthology.org/2020.nlpcovid19-acl.18
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Soup to go: mitigating forgetting during continual learning with model averaging
SFA reduces forgetting in continual learning by averaging the currently training model with a checkpoint from previous tasks during fine-tuning, matching data-buffer rehearsal without storing past data.