Sequential Fine Tuning

method ID: sequentialfinetuning

Related Papers

AdapterFusion: Non-Destructive Task Composition for Transfer Learning

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractSequential fine-tuning and multi-task learning are methods aiming to incorporate knowledge from multiple tasks; however, they suffer from catastrophic forgetting and difficulties in dataset balancing. To address these shortcomings, we …...

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