Hu, H.X.[He-Xiang],
Sener, O.[Ozan],
Sha, F.[Fei],
Koltun, V.[Vladlen],
Drinking From a Firehose:
Continual Learning With Web-Scale Natural Language,
PAMI(45), No. 5, May 2023, pp. 5684-5696.
IEEE DOI
2304
Task analysis, Benchmark testing, Learning systems, Multitasking,
Social networking (online), Neural networks, Data models, web-scale datasets
BibRef
Zhang, W.T.[Wen-Tao],
Huang, Y.J.[Yu-Jun],
Zhang, W.Z.[Wei-Zhuo],
Zhang, T.[Tong],
Lao, Q.[Qicheng],
Yu, Y.[Yue],
Zheng, W.S.[Wei-Shi],
Wang, R.X.[Rui-Xuan],
Continual Learning of Image Classes With Language Guidance From a
Vision-Language Model,
CirSysVideo(34), No. 12, December 2024, pp. 13152-13163.
IEEE DOI Code:
WWW Link.
2501
Visualization, Adaptation models, Data models,
Task analysis, Knowledge engineering, Semantics, language guidance
BibRef
Yu, J.[Jiazuo],
Huang, Z.C.[Zi-Chen],
Zhuge, Y.Z.[Yun-Zhi],
Zhang, L.[Lu],
Hu, P.[Ping],
Wang, D.[Dong],
Lu, H.C.[Hu-Chuan],
He, Y.[You],
MoE-Adapters++: Toward More Efficient Continual Learning of
Vision-Language Models Via Dynamic Mixture-of-Experts Adapters,
PAMI(47), No. 12, December 2025, pp. 11912-11928.
IEEE DOI
2511
Training, Adaptation models, Computational modeling, Collaboration,
Accuracy, Incremental learning, Magnetic heads,
vision-language models
BibRef
Chen, Y.Z.[Yi-Zhou],
Huang, X.[Xihao],
Zhang, W.[Wei],
Large Visual Language Models Continual Learning With Dynamic Mixture
of Experts,
IP(34), 2025, pp. 8301-8316.
IEEE DOI
2512
Adaptation models, Computational modeling, Training,
Foundation models, Data models, Visualization, Tuning,
catastrophic forgetting
BibRef
Fu, H.[Hao],
Zhao, H.[Hanbin],
Dong, J.H.[Jia-Hua],
Ding, H.H.[Heng-Hui],
Zhang, C.[Chao],
Qian, H.[Hui],
IAP: Improving Continual Learning of Vision-Language Models via
Instance-Aware Prompting,
IP(35), 2026, pp. 717-731.
IEEE DOI Code:
WWW Link.
2602
Incremental learning, Data models, Logic gates, Computational modeling,
Adaptation models, Visualization, multi-modal learning
BibRef
Zhang, H.S.[Hong-Sheng],
Ji, Z.[Zhong],
Liu, J.R.[Jing-Ren],
Pang, Y.W.[Yan-Wei],
Han, J.G.[Jun-Gong],
Multi-Stage Knowledge Integration of Vision-Language Models for
Continual Learning,
IP(35), 2026, pp. 615-628.
IEEE DOI
2602
Adaptation models, Training, Prototypes, Data models,
Stability analysis, Vision language model, Knowledge engineering,
dual-teacher knowledge distillation
BibRef
Liu, Y.Y.[Yu-Yang],
Po, L.M.[Lai-Man],
Hung, F.[Farrell],
Wang, Z.[Zhuohan],
Wu, H.X.[Hao-Xuan],
Jiang, Z.[Zeyu],
Li, K.[Kun],
Xu, X.[Xuyuan],
Cheung, K.W.[Kwok-Wai],
CSBoRA: A continual learning method for large language models with
true orthogonality and reduced forgetting,
PR(179), 2026, pp. 113782.
Elsevier DOI
2606
Continual Standard-Basis Low-Rank Adaptation,
Supervised continual learning, Large language model, True orthogonality
BibRef
He, C.Y.[Chi-Yuan],
Qiu, Z.[Zihuan],
Meng, F.M.[Fan-Man],
Xu, L.F.[Lin-Feng],
Wu, Q.B.[Qing-Bo],
Li, H.L.[Hong-Liang],
DesCLIP: Robust Continual Learning via General Attribute Descriptions
for VLM-Based Visual Recognition,
MultMed(28), 2026, pp. 5021-5035.
IEEE DOI
2607
Visualization, Adaptation models, Training, Overfitting, Data models,
Computational modeling, Buildings, Tuning, Optimization,
vision-language model
BibRef
Li, X.G.[Xue-Guang],
Guo, C.[Cheng],
Tang, X.[Xinyu],
Jie, Y.[Yingmo],
RectLoRA: Subspace parameter-efficient fine-tuning for continual
adaptation of LLMs and LVMs,
PR(179), 2026, pp. 113887.
Elsevier DOI
2606
Large language models, Large vision models,
Parameter-efficient fine-tuning, Continual learning, Catastrophic forgetting
BibRef
Yu, L.[Lu],
Han, H.Y.[Hao-Yu],
Tao, Z.[Zhe],
Yao, H.T.[Han-Tao],
Xu, C.S.[Chang-Sheng],
Language Guided Concept Bottleneck Models for Interpretable Continual
Learning,
CVPR25(14976-14986)
IEEE DOI Code:
WWW Link.
2508
Training, Learning systems, Visualization, Decision making,
Semantics, Prototypes, Predictive models, vision-language models
BibRef
Yu, Y.C.[Yu-Chu],
Huang, C.P.[Chi-Pin],
Chen, J.J.[Jr-Jen],
Chang, K.P.[Kai-Po],
Lai, Y.H.[Yung-Hsuan],
Yang, F.E.[Fu-En],
Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
Select and Distill: Selective Dual-teacher Knowledge Transfer for
Continual Learning on Vision-language Models,
ECCV24(XXVI: 219-236).
Springer DOI
2412
BibRef
Tang, L.X.[Long-Xiang],
Tian, Z.[Zhuotao],
Li, K.[Kai],
He, C.M.[Chun-Ming],
Zhou, H.T.[Han-Tao],
Zhao, H.S.[Heng-Shuang],
Li, X.[Xiu],
Jia, J.Y.[Jia-Ya],
Mind the Interference: Retaining Pre-trained Knowledge in Parameter
Efficient Continual Learning of Vision-language Models,
ECCV24(XXXVI: 346-365).
Springer DOI
2412
BibRef
Yu, J.[Jiazuo],
Zhuge, Y.Z.[Yun-Zhi],
Zhang, L.[Lu],
Hu, P.[Ping],
Wang, D.[Dong],
Lu, H.C.[Hu-Chuan],
He, Y.[You],
Boosting Continual Learning of Vision-Language Models via
Mixture-of-Experts Adapters,
CVPR24(23219-23230)
IEEE DOI Code:
WWW Link.
2410
Training, Degradation, Adaptation models, Incremental learning,
Codes, continual learning, task incremental learning
BibRef
Roy, A.[Anurag],
Moulick, R.[Riddhiman],
Verma, V.K.[Vinay K.],
Ghosh, S.[Saptarshi],
Das, A.[Abir],
Convolutional Prompting meets Language Models for Continual Learning,
CVPR24(23616-23626)
IEEE DOI Code:
WWW Link.
2410
Convolution, Large language models, Training data,
Machine learning, Transformers, Continual Learning, Vision Transformer
BibRef
Ni, B.L.[Bo-Lin],
Zhao, H.B.[Hong-Bo],
Zhang, C.H.[Cheng-Hao],
Hu, K.[Ke],
Meng, G.F.[Gao-Feng],
Zhang, Z.X.[Zhao-Xiang],
Xiang, S.M.[Shi-Ming],
Enhancing Visual Continual Learning with Language-Guided Supervision,
CVPR24(24068-24077)
IEEE DOI
2410
Training, Visualization, Head, Protocols,
Correlation, Continual learning
BibRef
Qi, B.Q.[Bi-Qing],
Chen, X.[Xinquan],
Gao, J.Q.[Jun-Qi],
Li, D.[Dong],
Liu, J.X.[Jian-Xing],
Wu, L.G.[Li-Gang],
Zhou, B.[Bowen],
Interactive Continual Learning: Fast and Slow Thinking,
CVPR24(12882-12892)
IEEE DOI
2410
Learning systems, Resistance,
Large language models, Collaboration, Memory modules
BibRef
Verma, V.[Vinay],
Mehta, N.[Nikhil],
Liang, K.J.[Kevin J],
Mishra, A.[Aakansha],
Carin, L.[Lawrence],
Meta-Learned Attribute Self-Interaction Network for Continual and
Generalized Zero-Shot Learning,
WACV24(2709-2719)
IEEE DOI
2404
Training, Adaptation models, Protocols, Zero-shot learning,
Computational modeling, Reservoirs, Data models, Algorithms,
Vision + language and/or other modalities
BibRef
Khan, M.G.Z.A.[Muhammad Gul Zain Ali],
Naeem, M.F.[Muhammad Ferjad],
Van Gool, L.J.[Luc J.],
Stricker, D.[Didier],
Tombari, F.[Federico],
Afzal, M.Z.[Muhammad Zeshan],
Introducing Language Guidance in Prompt-based Continual Learning,
ICCV23(11429-11439)
IEEE DOI
2401
BibRef
Zheng, Z.W.[Zang-Wei],
Ma, M.Y.[Ming-Yuan],
Wang, K.[Kai],
Qin, Z.H.[Zi-Heng],
Yue, X.Y.[Xiang-Yu],
You, Y.[Yang],
Preventing Zero-Shot Transfer Degradation in Continual Learning of
Vision-Language Models,
ICCV23(19068-19079)
IEEE DOI Code:
WWW Link.
2401
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Lifelong Learning .