Papers with Feed-forward Memory ALLOCation

1 papers
F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine Translation (2024.naacl-long)

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Challenge: Existing approaches to address Catastrophic Forgetting (CF) have been developed to avoid forgetting and maintain system extensibility.
Approach: They propose a method to reduce Catastrophic Forgetting (CF) by decomposing feed-forward layers into discrete memory cells and ensuring robust extendability.
Outcome: The proposed method achieves higher BLEU scores and almost zero forgetting while maintaining robust extendability.

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