New papers tackle continual learning with fast-weight attention and prompting
Four arXiv papers propose methods to mitigate catastrophic forgetting: fast-weight attention with normalized updates, gated adaptive prompting (GAP-Prompt), task-specific subspace optimization (TASSO), and a framework for evolving semantic concept shift.
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