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https://pubmed.ncbi.nlm.nih.gov/38113151
The AdaptCL method, which uses fine-grained data-driven pruning and task-agnostic parameter isolation, enhances continual learning performance on heterogeneous sequential datasets by adapting to variations in data complexity, size, and similarity.