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Podcast: Arxiv Papers
Episode: Soup to go: mitigating forgetting during continual learning with model averaging
Description:
The paper proposes Sequential Fine-tuning with Averaging (SFA) to mitigate catastrophic forgetting in continual learning, outperforming existing methods without requiring data storage or multiple parameter copies.
https://arxiv.org/abs//2501.05559
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