CL-LoRA adds a fixed random-orthogonal shared LoRA branch for cross-task knowledge and task-specific LoRA branches with block-wise weights, improving rehearsal-free class-incremental learning accuracy at low parameter cost.
Loss of plasticity in deep continual learning
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CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
CL-LoRA adds a fixed random-orthogonal shared LoRA branch for cross-task knowledge and task-specific LoRA branches with block-wise weights, improving rehearsal-free class-incremental learning accuracy at low parameter cost.