Representation-Steered Incremental Adapter-Tuning for Class-Incremental Learning with Pre-Trained Models
RSIAT significantly outperforms state-of-the-art methods in both performance and parameter efficiency, achieving superior stability–plasticity trade-offs with minimal trainable parameters.
Jiarui Zhao, Libo Huang, Xiangqi Li et al.
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