"progressive learning" Papers
8 papers found
Conference
Efficient Multi-modal Large Language Models via Progressive Consistency Distillation
Zichen Wen, Shaobo Wang, Yufa Zhou et al.
NEURIPS 2025arXiv:2510.00515
9
citations
Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning
Ziqi Gu, Chunyan Xu, Wenxuan Fang et al.
NEURIPS 2025
LLaVA-MoD: Making LLaVA Tiny via MoE-Knowledge Distillation
Fangxun Shu, Yue Liao, Lei Zhang et al.
ICLR 2025arXiv:2408.15881
38
citations
RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face Recognition
Jie Zhang, Xun Gong, Zhonglin Sun
AAAI 2025paperarXiv:2412.12031
1
citations
Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety
Ronghang Zhu, Mengxuan Hu, Weiming Zhuang et al.
CVPR 2025
5
citations
Zero-1-to-A: Zero-Shot One Image to Animatable Head Avatars Using Video Diffusion
Zhenglin Zhou, Fan Ma, Hehe Fan et al.
CVPR 2025arXiv:2503.15851
4
citations
HiLo: Detailed and Robust 3D Clothed Human Reconstruction with High-and Low-Frequency Information of Parametric Models
Yifan Yang, Dong Liu, Shuhai Zhang et al.
CVPR 2024arXiv:2404.04876
15
citations
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning
YongJin Yang, Taehyeon Kim, Se-Young Yun
AAAI 2024paperarXiv:2312.11260
8
citations