Author

Yong-Jun Xu

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Book Open access May 2025

PrePrompt: Predictive Prompting for Class Incremental Learning

P predictive Prompting (PrePrompt) is proposed, a novel CIL framework that circumvents correlation-based limitations by leveraging the inherent classification ability of pre-trained models to predict task-specific prompts and decomposes CIL into a two-stage prediction process: task-specific prompt prediction followed by a label prediction.

Libo Huang, Xiang-Qi Li, Jia-Rui Zhao et al. · Proceedings of the 32nd ACM... · 4 citations

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. · 0 citations