Author

Weizhan Zhang

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#machine learning Preprint Aug 2026

Information-Theoretic Decoupled Prompt Tuning for Continual Learning

Continual learning (CL) aims to incrementally acquire knowledge from sequential data while avoiding catastrophic forgetting. Recently, prompt tuning has attracted increasing attention as an efficient approach for adapting pre-trained models to CL tasks. However, existing prompt design paradigms commonly suffer from ret...

Yun-Fei Zhang, Wen Wen, Tie-Liang Gong et al. · 0 citations

Preprint Aug 2026

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning

Plasticity loss has emerged as a critical challenge in continual learning that significantly hinders the acquisition of sequential tasks. While optimizing activation designs offers a potential solution, current fixed-form functions suffer from an inherent spectral bias towards low-frequency variations, whereas learnabl...

Zeyang Zhang, Tie-Liang Gong, Junyan Lu et al. · 0 citations