1 citations · 1 across the 3 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.CV2025
R^2MoE: Redundancy-Removal Mixture of Experts for Lifelong Concept Learning
Xiaohan Guo, Yusong Cai, Zejia Liu +3
Enabling large-scale generative models to continuously learn new visual concepts is essential for personalizing pre-trained models to meet individual user preferences. Existing app…
cs.CV2025
LoRA-Based Continual Learning with Constraints on Critical Parameter Changes
Shimou Ling, Liang Zhang, Jiangwei Zhao +2
LoRA-based continual learning represents a promising avenue for leveraging pre-trained models in downstream continual learning tasks. Recent studies have shown that orthogonal LoRA…