Papers with multi-objective optimization frameworks

1 papers
SharpSeq: Empowering Continual Event Detection through Sharpness-Aware Sequential-task Learning (2024.naacl-long)

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Challenge: Existing methods for continual event detection suffer from catastrophic forgetting . a novel continual learning paradigm leveraging sharpness-aware minimization is needed .
Approach: They propose a continual learning paradigm that leverages sharpness-aware minimization and a generative model to balance training data distribution.
Outcome: The proposed approach outperforms existing methods on real-world datasets.

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