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Expandable Subspace Ensemble for Pre-Trained Model-Based
  Class-Incremental Learning

Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning

18 March 2024
Da-Wei Zhou
Hai-Long Sun
Han-Jia Ye
De-Chuan Zhan
    CLL
ArXiv (abs)PDFHTMLGithub (69★)

Papers citing "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"

24 / 24 papers shown
Title
LW2G: Learning Whether to Grow for Prompt-based Continual Learning
LW2G: Learning Whether to Grow for Prompt-based Continual Learning
Qian Feng
Dawei Zhou
Hanbin Zhao
Chao Zhang
Jiahua Dong
Dengxin Dai
Hui Qian
VLMCLL
88
5
0
01 Jul 2025
STSA: Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation
STSA: Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation
Zenghao Guan
Guojun Zhu
Yucan Zhou
Wu Liu
Weiping Wang
Jiebo Luo
Xiaoyan Gu
76
0
0
02 Jun 2025
CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
Jiangpeng He
Zhihao Duan
Fengqing M Zhu
CLL
33
1
0
30 May 2025
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning
MoTE: Mixture of Task-specific Experts for Pre-Trained ModelBased Class-incremental Learning
Linjie Li
Zhenyu Wu
Yang Ji
MoECLL
35
0
0
21 May 2025
How can Diffusion Models Evolve into Continual Generators?
How can Diffusion Models Evolve into Continual Generators?
Jingren Liu
Zhong Ji
Xiangyu Chen
DiffM
70
0
0
17 May 2025
DUKAE: DUal-level Knowledge Accumulation and Ensemble for Pre-Trained Model-Based Continual Learning
DUKAE: DUal-level Knowledge Accumulation and Ensemble for Pre-Trained Model-Based Continual Learning
Songze Li
Tonghua Su
Xu-Yao Zhang
Qixing Xu
Zhongjie Wang
CLL
180
0
0
09 Apr 2025
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
Xuan Liu
Xiaobin Chang
CLL
511
0
0
23 Mar 2025
CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models
Shengzhuang Chen
Yikai Liao
Xiaoxiao Sun
Kede Ma
Ying Wei
146
0
0
06 Mar 2025
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
Guannan Lai
Yujie Li
Xiangkun Wang
Jing Zhang
Tianrui Li
Xin Yang
CLL
117
3
0
27 Feb 2025
From Offline to Online Memory-Free and Task-Free Continual Learning via Fine-Grained Hypergradients
From Offline to Online Memory-Free and Task-Free Continual Learning via Fine-Grained Hypergradients
Nicolas Michel
Maorong Wang
Jiangpeng He
Toshihiko Yamasaki
CLL
93
0
0
26 Feb 2025
C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models
C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models
Xin Zhang
Liang Bai
Xian Yang
Jiye Liang
CLL
148
1
0
25 Feb 2025
DesCLIP: Robust Continual Adaptation via General Attribute Descriptions for Pretrained Vision-Language Models
DesCLIP: Robust Continual Adaptation via General Attribute Descriptions for Pretrained Vision-Language Models
Chiyuan He
Zihuan Qiu
Fanman Meng
Linfeng Xu
Qi Wu
Haoyang Li
VLMCLLKELM
157
0
0
02 Feb 2025
Adapter-Enhanced Semantic Prompting for Continual Learning
Adapter-Enhanced Semantic Prompting for Continual Learning
Baocai Yin
Ji Zhao
Huajie Jiang
Ningning Hou
Yongli Hu
Amin Beheshti
Ming-Hsuan Yang
Yuankai Qi
CLLVLM
215
0
0
15 Dec 2024
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA
Haodong Lu
Chongyang Zhao
Jason Xue
Lina Yao
Kristen Moore
Dong Gong
CLLKELMVLM
236
7
0
01 Dec 2024
Integrating Dual Prototypes for Task-Wise Adaption in Pre-Trained Model-Based Class-Incremental Learning
Integrating Dual Prototypes for Task-Wise Adaption in Pre-Trained Model-Based Class-Incremental Learning
Zhiming Xu
Steve Yang
Baile Xu
Jian Zhao
Furao Shen
CLL
200
0
0
26 Nov 2024
CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection
CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection
Mingyi Guo
Yuyang Liu
Zongying Lin
Peixi Peng
Yonghong Tian
Yonghong Tian
VLM
146
0
0
08 Oct 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Da-Wei Zhou
Zi-Wen Cai
Han-Jia Ye
Lijun Zhang
De-Chuan Zhan
CLLAI4CE
198
2
0
01 Oct 2024
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
Jiashuo Li
Shaokun Wang
Bo Qian
Yuhang He
Xing Wei
Qiang Wang
Yihong Gong
CLL
124
2
0
23 Sep 2024
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning
Lu Yu
Hesong Li
Ying Fu
Joost van de Weijer
Bartłomiej Twardowski
Joost van de Weijer
Changsheng Xu
CLL
104
1
0
02 Aug 2024
Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective
Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective
Jingren Liu
Zhong Ji
YunLong Yu
Jiale Cao
Yanwei Pang
Jungong Han
Xuelong Li
CLL
149
5
0
24 Jul 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Huiyi Wang
Haodong Lu
Lina Yao
Dong Gong
KELMCLL
121
11
0
27 Mar 2024
Hyperparameters in Continual Learning: A Reality Check
Hyperparameters in Continual Learning: A Reality Check
Sungmin Cha
Kyunghyun Cho
CLL
155
6
0
14 Mar 2024
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
Hai-Long Sun
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
227
34
0
13 Sep 2023
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLMCLL
136
78
0
23 Sep 2021
1