Boosting Continual Learning of Vision-Language Models via
Mixture-of-Experts Adapters

Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters

18 March 2024

Huchuan Lu

Papers citing "Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters"

9 / 59 papers shown

Title
Towards Incremental Learning in Large Language Models: A Critical Review M. Jovanovic Peter Voss ELM CLL KELM 37 5 0 28 Apr 2024
Continual Learning of Large Language Models: A Comprehensive Survey Haizhou Shi Zihao Xu Hengyi Wang Weiyi Qin Wenyuan Wang Yibin Wang Zifeng Wang Sayna Ebrahimi Hao Wang CLL KELM LRM 52 64 0 25 Apr 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning Huiyi Wang Haodong Lu Lina Yao Dong Gong KELM CLL 48 8 0 27 Mar 2024
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models Yu-Chu Yu Chi-Pin Huang Jr-Jen Chen Kai-Po Chang Yung-Hsuan Lai Fu-En Yang Yu-Chiang Frank Wang CLL VLM 45 7 0 14 Mar 2024
Credal Learning Theory Michele Caprio Maryam Sultana Eleni Elia Fabio Cuzzolin FedML 40 11 0 01 Feb 2024
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models Zangwei Zheng Mingyu Ma Kai Wang Ziheng Qin Xiangyu Yue Yang You CLL VLM 102 68 0 12 Mar 2023
Mixture of Attention Heads: Selecting Attention Heads Per Token Xiaofeng Zhang Yikang Shen Zeyu Huang Jie Zhou Wenge Rong Zhang Xiong MoE 99 42 0 11 Oct 2022
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling Renrui Zhang Rongyao Fang Wei Zhang Peng Gao Kunchang Li Jifeng Dai Yu Qiao Hongsheng Li VLM 192 385 0 06 Nov 2021
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 25 73 0 23 Sep 2021