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cs.LG2025
CCD: Continual Consistency Diffusion for Lifelong Generative Modeling
Jingren Liu, Shuning Xu, Yun Wang +2
While diffusion-based models have shown remarkable generative capabilities in static settings, their extension to continual learning (CL) scenarios remains fundamentally constraine…
cs.LG2024
Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective
Jingren Liu, Zhong Ji, YunLong Yu +4
Parameter-efficient fine-tuning for continual learning (PEFT-CL) has shown promise in adapting pre-trained models to sequential tasks while mitigating catastrophic forgetting probl…
cs.LG2024
NTK-Guided Few-Shot Class Incremental Learning
Jingren Liu, Zhong Ji, Yanwei Pang +1
The proliferation of Few-Shot Class Incremental Learning (FSCIL) methodologies has highlighted the critical challenge of maintaining robust anti-amnesia capabilities in FSCIL learn…