Papers with class-incremental setting

1 papers
InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective (2023.findings-emnlp)

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Challenge: Recent studies have identified the severe performance decrease on analogous classes as a key factor for catastrophic forgetting.
Approach: They propose a replay-based continual text classification method that uses fast-slow and current-past contrastive learning to perform mutual information maximization and better recover previously learned representations.
Outcome: The proposed method achieves state-of-the-art on three text classification tasks.

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