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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.CV2021★ 6 cited
CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
Jiangwei Zhao, Zejia Liu, Xiaohan Guo +1
Disentanglement, a critical concern in interpretable machine learning, has also garnered significant attention from the computer vision community. Many existing GAN-based class dis…