Papers with depth aware hierarchical replay framework

1 papers
Depth Aware Hierarchical Replay Continual Learning for Knowledge Based Question Answering (2024.lrec-main)

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Challenge: Continual learning models adapt well to the latest data but lose ability to remember past data due to changes in the data source.
Approach: They propose a hierarchical replay framework that allows models to keep a small memory of previous learned data that uses replay.
Outcome: The proposed model outperforms previous continual learning methods in mitigating catastrophic forgetting.

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