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A Comprehensive Survey of Continual Learning: Theory, Method and
  Application

A Comprehensive Survey of Continual Learning: Theory, Method and Application

31 January 2023
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
    KELM
    CLL
ArXivPDFHTML

Papers citing "A Comprehensive Survey of Continual Learning: Theory, Method and Application"

50 / 135 papers shown
Title
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer
Zhenrong Liu
J. Huttunen
M. Honkala
CLL
41
0
0
13 May 2025
The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review
The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review
Jingguo Qu
Xinyang Han
Man-Lik Chui
Yao Pu
Simon Takadiyi Gunda
...
Jing Qin
Ann Dorothy King
Winnie Chiu-Wing Chu
J. Cai
Michael Tin-Cheung Ying
21
0
0
09 May 2025
A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge
A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge
Luca Salvatore Lorello
Marco Lippi
S. Melacci
38
0
0
08 May 2025
Replay to Remember (R2R): An Efficient Uncertainty-driven Unsupervised Continual Learning Framework Using Generative Replay
Replay to Remember (R2R): An Efficient Uncertainty-driven Unsupervised Continual Learning Framework Using Generative Replay
Sriram Mandalika
Harsha Vardhan
Athira Nambiar
VLM
58
0
0
07 May 2025
Efficient Continual Learning in Keyword Spotting using Binary Neural Networks
Efficient Continual Learning in Keyword Spotting using Binary Neural Networks
Quynh Nguyen Phuong Vu
Luciano S. Martinez-Rau
Yuxuan Zhang
Nho-Duc Tran
Bengt Oelmann
Michele Magno
Sebastian Bader
CLL
33
0
0
05 May 2025
SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning
SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning
Jinpeng Chen
Runmin Cong
Yuzhi Zhao
Hongzheng Yang
Guangneng Hu
H. Ip
Sam Kwong
CLL
KELM
70
0
0
05 May 2025
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices
Zhengyi Zhong
Weidong Bao
Ji Wang
Jianguo Chen
Lingjuan Lyu
Wei Yang Bryan Lim
CLL
41
0
0
01 May 2025
Mathematics of Continual Learning
Mathematics of Continual Learning
Liangzu Peng
René Vidal
CLL
68
0
0
24 Apr 2025
Task-conditioned Ensemble of Expert Models for Continuous Learning
Task-conditioned Ensemble of Expert Models for Continuous Learning
Renu Sharma
Debasmita Pal
Arun Ross
OOD
KELM
94
0
0
11 Apr 2025
Rethinking industrial artificial intelligence: a unified foundation framework
Rethinking industrial artificial intelligence: a unified foundation framework
Jay Lee
Hanqi Su
AI4CE
39
1
0
02 Apr 2025
Continual Learning With Quasi-Newton Methods
Continual Learning With Quasi-Newton Methods
Steven Vander Eeckt
Hugo Van hamme
CLL
BDL
63
0
0
25 Mar 2025
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
Yuhang Liu
Wenjie Zhao
Yunhui Guo
OODD
58
0
0
19 Mar 2025
FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification
FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification
Kamil Książek
Hubert Jastrzębski
Bartosz Trojan
Krzysztof Pniaczek
Michał Karp
Jacek Tabor
CLL
74
0
0
18 Mar 2025
Enhanced Continual Learning of Vision-Language Models with Model Fusion
Enhanced Continual Learning of Vision-Language Models with Model Fusion
Haoyuan Gao
Zicong Zhang
Yuqi Wei
Linglan Zhao
Guilin Li
Y. Li
Linghe Kong
Weiran Huang
CLL
VLM
103
0
0
12 Mar 2025
A Frank System for Co-Evolutionary Hybrid Decision-Making
Federico Mazzoni
Riccardo Guidotti
Alessio Malizia
34
2
0
08 Mar 2025
Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron Exploration
Chengqi Zheng
Haiyan Yin
Jianda Chen
Terence Ng
Yew-Soon Ong
Ivor Tsang
CLL
101
0
0
07 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
J. Zhang
Tianrui Li
Xin Yang
CLL
39
0
0
27 Feb 2025
CND-IDS: Continual Novelty Detection for Intrusion Detection Systems
CND-IDS: Continual Novelty Detection for Intrusion Detection Systems
Sean Fuhrman
Onat Gungor
T. Rosing
AAML
101
0
0
21 Feb 2025
Accurate Forgetting for Heterogeneous Federated Continual Learning
Accurate Forgetting for Heterogeneous Federated Continual Learning
Abudukelimu Wuerkaixi
Sen Cui
J. Zhang
Kunda Yan
Bo Han
Gang Niu
Lei Fang
Changshui Zhang
Masashi Sugiyama
106
8
0
20 Feb 2025
Theory on Mixture-of-Experts in Continual Learning
Theory on Mixture-of-Experts in Continual Learning
Hongbo Li
Sen-Fon Lin
Lingjie Duan
Yingbin Liang
Ness B. Shroff
MoE
MoMe
CLL
151
14
0
20 Feb 2025
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Thomas L. Lee
William Toner
Rajkarn Singh
Artjom Joosem
Martin Asenov
AI4TS
36
0
0
18 Feb 2025
Achieving Upper Bound Accuracy of Joint Training in Continual Learning
Achieving Upper Bound Accuracy of Joint Training in Continual Learning
Saleh Momeni
Bing Liu
CLL
80
1
0
17 Feb 2025
Sequence Transferability and Task Order Selection in Continual Learning
T. Nguyen
Cuong N. Nguyen
Quang-Cuong Pham
B. T. Nguyen
Savitha Ramasamy
Xiaoli Li
Cuong V Nguyen
73
0
0
10 Feb 2025
The impact of allocation strategies in subset learning on the expressive power of neural networks
Ofir Schlisselberg
Ran Darshan
91
0
0
10 Feb 2025
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
Jie Chen
AI4CE
59
2
0
28 Jan 2025
IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition
IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition
George Karantaidis
Athanasios Pantsios
Y. Kompatsiaris
Symeon Papadopoulos
CLL
60
0
0
20 Jan 2025
Multi-Task Model Merging via Adaptive Weight Disentanglement
Multi-Task Model Merging via Adaptive Weight Disentanglement
Feng Xiong
Runxi Cheng
Wang Chen
Zhanqiu Zhang
Yiwen Guo
Chun Yuan
Ruifeng Xu
MoMe
92
4
0
10 Jan 2025
Audiopedia: Audio QA with Knowledge
Audiopedia: Audio QA with Knowledge
Abhirama Subramanyam Penamakuri
Kiran Chhatre
Akshat Jain
KELM
AuLLM
RALM
49
0
0
31 Dec 2024
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning
Anthony Kobanda
Rémy Portelas
Odalric-Ambrym Maillard
Ludovic Denoyer
OffRL
CLL
77
0
0
19 Dec 2024
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
CLL
VLM
97
0
0
15 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
S. M. I. Simon X. Yang
Baile Xu
Jian Zhao
F. Shen
CLL
81
0
0
26 Nov 2024
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients
Satish Kumar Keshri
Nazreen Shah
Ranjitha Prasad
FedML
25
0
0
12 Nov 2024
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Yuchen He
Xiangfeng Wang
CLL
FedML
31
0
0
04 Nov 2024
FPPL: An Efficient and Non-IID Robust Federated Continual Learning
  Framework
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework
Yuchen He
Chuyun Shen
Xiangfeng Wang
Bo Jin
FedML
23
1
0
04 Nov 2024
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering
Deepayan Das
Davide Talon
Massimiliano Mancini
Yiming Wang
Elisa Ricci
39
0
0
04 Nov 2024
Not Just Object, But State: Compositional Incremental Learning without Forgetting
Not Just Object, But State: Compositional Incremental Learning without Forgetting
Yanyi Zhang
Binglin Qiu
Qi Jia
Yu Liu
Ran He
CLL
40
0
0
04 Nov 2024
Interacting Large Language Model Agents. Interpretable Models and Social
  Learning
Interacting Large Language Model Agents. Interpretable Models and Social Learning
Adit Jain
Vikram Krishnamurthy
LLMAG
28
0
0
02 Nov 2024
Dual Low-Rank Adaptation for Continual Learning with Pre-Trained Models
Dual Low-Rank Adaptation for Continual Learning with Pre-Trained Models
Huancheng Chen
Jingtao Li
Nidham Gazagnadou
Weiming Zhuang
Chen Chen
Lingjuan Lyu
VLM
CLL
47
1
0
01 Nov 2024
Teddy: Efficient Large-Scale Dataset Distillation via
  Taylor-Approximated Matching
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching
Ruonan Yu
Songhua Liu
Jingwen Ye
Xinchao Wang
DD
26
4
0
10 Oct 2024
Temporal-Difference Variational Continual Learning
Temporal-Difference Variational Continual Learning
L. Melo
Alessandro Abate
Yarin Gal
BDL
CLL
VLM
38
0
0
10 Oct 2024
LeanAgent: Lifelong Learning for Formal Theorem Proving
LeanAgent: Lifelong Learning for Formal Theorem Proving
Adarsh Kumarappan
Mo Tiwari
Peiyang Song
Robert Joseph George
Chaowei Xiao
Anima Anandkumar
CLL
LLMAG
LRM
70
8
0
08 Oct 2024
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey
Dianzhi Yu
Xinni Zhang
Yankai Chen
Aiwei Liu
Yifei Zhang
Philip S. Yu
Irwin King
VLM
CLL
39
9
0
07 Oct 2024
Where are we in audio deepfake detection? A systematic analysis over generative and detection models
Where are we in audio deepfake detection? A systematic analysis over generative and detection models
Xiang Li
Pin-Yu Chen
Wenqi Wei
28
2
0
06 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
CLL
AI4CE
44
2
0
01 Oct 2024
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
Saurav Jha
Shiqi Yang
Masato Ishii
Mengjie Zhao
Christian Simon
Muhammad Jehanzeb Mirza
Dong Gong
Lina Yao
Shusuke Takahashi
Yuki Mitsufuji
DiffM
58
2
0
01 Oct 2024
M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning
M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning
Kaushik Roy
Akila Dissanayake
Brendan Tidd
Peyman Moghadam
CLL
VLM
48
2
0
30 Sep 2024
Tiny Robotics Dataset and Benchmark for Continual Object Detection
Tiny Robotics Dataset and Benchmark for Continual Object Detection
Francesco Pasti
Riccardo De Monte
Davide Dalle Pezze
Gian Antonio Susto
Nicola Bellotto
34
1
0
24 Sep 2024
Towards LifeSpan Cognitive Systems
Towards LifeSpan Cognitive Systems
Yu Wang
Chi Han
Tongtong Wu
Xiaoxin He
Wangchunshu Zhou
...
Zexue He
Wei Wang
Gholamreza Haffari
Heng Ji
Julian McAuley
KELM
CLL
91
1
0
20 Sep 2024
A Unified Framework for Neural Computation and Learning Over Time
A Unified Framework for Neural Computation and Learning Over Time
S. Melacci
Alessandro Betti
Michele Casoni
Tommaso Guidi
Matteo Tiezzi
Marco Gori
AI4TS
28
0
0
18 Sep 2024
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data
Cuiwei Liu
Siang Xu
Huaijun Qiu
Jing Zhang
Zhi Liu
Liang Zhao
CLL
27
0
0
18 Sep 2024
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