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Continual Lifelong Learning with Neural Networks: A Review

Continual Lifelong Learning with Neural Networks: A Review

21 February 2018
G. I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
S. Wermter
    KELM
    CLL
ArXivPDFHTML

Papers citing "Continual Lifelong Learning with Neural Networks: A Review"

50 / 460 papers shown
Title
Unlearning for Federated Online Learning to Rank: A Reproducibility Study
Unlearning for Federated Online Learning to Rank: A Reproducibility Study
Yiling Tao
Shuyi Wang
Jiaxi Yang
Guido Zuccon
MU
9
0
0
19 May 2025
CL-CaGAN: Capsule differential adversarial continuous learning for cross-domain hyperspectral anomaly detection
CL-CaGAN: Capsule differential adversarial continuous learning for cross-domain hyperspectral anomaly detection
Jianing Wang
Siying Guo
Zheng Hua
Runhu Huang
Jinyu Hu
Maoguo Gong
7
8
0
17 May 2025
Growable and Interpretable Neural Control with Online Continual Learning for Autonomous Lifelong Locomotion Learning Machines
Growable and Interpretable Neural Control with Online Continual Learning for Autonomous Lifelong Locomotion Learning Machines
Arthicha Srisuchinnawong
Poramate Manoonpong
CLL
LRM
9
0
0
17 May 2025
CL-BioGAN: Biologically-Inspired Cross-Domain Continual Learning for Hyperspectral Anomaly Detection
CL-BioGAN: Biologically-Inspired Cross-Domain Continual Learning for Hyperspectral Anomaly Detection
Jianing Wang
Zheng Hua
Wan Zhang
Shengjia Hao
Yuqiong Yao
Maoguo Gong
BDL
CLL
19
0
0
17 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
12
0
0
17 May 2025
Task-Core Memory Management and Consolidation for Long-term Continual Learning
Task-Core Memory Management and Consolidation for Long-term Continual Learning
Tianyu Huai
Jie Zhou
Yuxuan Cai
Qin Chen
Wen Wu
Xingjiao Wu
Xipeng Qiu
Liang He
CLL
33
0
0
15 May 2025
Continual Reinforcement Learning via Autoencoder-Driven Task and New Environment Recognition
Continual Reinforcement Learning via Autoencoder-Driven Task and New Environment Recognition
Zeki Doruk Erden
Donia Gasmi
Boi Faltings
CLL
36
0
0
13 May 2025
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Milad Khademi Nori
Il Kim
Guanghui Wang
CLL
55
0
0
09 May 2025
Show or Tell? A Benchmark To Evaluate Visual and Textual Prompts in Semantic Segmentation
Show or Tell? A Benchmark To Evaluate Visual and Textual Prompts in Semantic Segmentation
Gabriele Rosi
Fabio Cermelli
VLM
42
0
0
06 May 2025
Learning and Transferring Physical Models through Derivatives
Learning and Transferring Physical Models through Derivatives
Alessandro Trenta
Andrea Cossu
Davide Bacciu
AI4CE
43
0
0
02 May 2025
Towards proactive self-adaptive AI for non-stationary environments with dataset shifts
Towards proactive self-adaptive AI for non-stationary environments with dataset shifts
David Fernández Narro
Pablo Ferri
Juan M. García-Gómez
Carlos Sáez
OOD
50
0
0
30 Apr 2025
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation
Zhikai Wang
Yanyan Shen
AI4TS
35
0
0
30 Apr 2025
Responsive DNN Adaptation for Video Analytics against Environment Shift via Hierarchical Mobile-Cloud Collaborations
Responsive DNN Adaptation for Video Analytics against Environment Shift via Hierarchical Mobile-Cloud Collaborations
Maozhe Zhao
Shixuan Liu
Fan Wu
Guihai Chen
33
0
0
30 Apr 2025
Feature Staleness Aware Incremental Learning for CTR Prediction
Feature Staleness Aware Incremental Learning for CTR Prediction
Zhikai Wang
Yanyan Shen
Zibin Zhang
Kangyi Lin
39
2
0
29 Apr 2025
Improvements of Dark Experience Replay and Reservoir Sampling towards Better Balance between Consolidation and Plasticity
Improvements of Dark Experience Replay and Reservoir Sampling towards Better Balance between Consolidation and Plasticity
Taisuke Kobayashi
CLL
43
0
0
29 Apr 2025
Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images
Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images
Sara Yavari
Jacob Furst
CLL
58
0
0
28 Apr 2025
AlphaGrad: Non-Linear Gradient Normalization Optimizer
AlphaGrad: Non-Linear Gradient Normalization Optimizer
Soham Sane
ODL
56
0
0
22 Apr 2025
Self-Controlled Dynamic Expansion Model for Continual Learning
Self-Controlled Dynamic Expansion Model for Continual Learning
RunQing Wu
KaiHui Huang
HanYi Zhang
Fei Ye
CLL
VLM
50
0
0
14 Apr 2025
Efficient Continual Adaptation of Pretrained Robotic Policy with Online Meta-Learned Adapters
Efficient Continual Adaptation of Pretrained Robotic Policy with Online Meta-Learned Adapters
Ruiqi Zhu
Endong Sun
Guanhe Huang
Oya Celiktutan
CLL
OnRL
72
0
0
24 Mar 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
263
0
0
23 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
Jun Zhang
Tianrui Li
Xin Yang
CLL
51
0
0
27 Feb 2025
Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours
Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours
Nikhil Churamani
Saksham Checker
Fethiye Irmak Dogan
Hao-Tien Lewis Chiang
Hatice Gunes
FedML
91
1
0
24 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
155
14
0
20 Feb 2025
Graph-based Retrieval Augmented Generation for Dynamic Few-shot Text Classification
Graph-based Retrieval Augmented Generation for Dynamic Few-shot Text Classification
Yubo Wang
Haoyang Li
Fei Teng
Lei Chen
91
1
0
17 Feb 2025
Sequence Transferability and Task Order Selection in Continual Learning
T. Nguyen
Cuong N. Nguyen
Quang Pham
B. T. Nguyen
Savitha Ramasamy
Xiaoli Li
Cuong V Nguyen
85
0
0
10 Feb 2025
Evolution and The Knightian Blindspot of Machine Learning
Evolution and The Knightian Blindspot of Machine Learning
Joel Lehman
Elliot Meyerson
Tarek El-Gaaly
Kenneth O. Stanley
Tarin Ziyaee
96
2
0
22 Jan 2025
Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation
Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation
Christopher Angelini
N. Bouaynaya
BDL
38
0
0
18 Jan 2025
PeFLL: Personalized Federated Learning by Learning to Learn
PeFLL: Personalized Federated Learning by Learning to Learn
Jonathan Scott
Hossein Zakerinia
Christoph H. Lampert
FedML
108
9
0
17 Jan 2025
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model
RunQing Wu
Fei Ye
QiHe Liu
Guoxi Huang
Jinyu Guo
Rongyao Hu
CLL
247
0
0
15 Jan 2025
LSEBMCL: A Latent Space Energy-Based Model for Continual Learning
LSEBMCL: A Latent Space Energy-Based Model for Continual Learning
Xiaodi Li
Dingcheng Li
Rujun Gao
Mahmoud Zamani
Latifur Khan
CLL
KELM
49
0
0
09 Jan 2025
Unforgettable Lessons from Forgettable Images: Intra-Class Memorability Matters in Computer Vision
Unforgettable Lessons from Forgettable Images: Intra-Class Memorability Matters in Computer Vision
Jie Jing
Qing Lin
Shuangpeng Han
Lucia Schiatti
Yen-Ling Kuo
Mengmi Zhang
VLM
35
0
0
30 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
104
0
0
15 Dec 2024
TinySubNets: An efficient and low capacity continual learning strategy
TinySubNets: An efficient and low capacity continual learning strategy
Marcin Pietroñ
Kamil Faber
Dominik Zurek
Roberto Corizzo
82
0
0
14 Dec 2024
Human-inspired Perspectives: A Survey on AI Long-term Memory
Human-inspired Perspectives: A Survey on AI Long-term Memory
Zihong He
Weizhe Lin
Hao Zheng
Fan Zhang
Matt Jones
Laurence Aitchison
X. Xu
Miao Liu
Per Ola Kristensson
Junxiao Shen
77
2
0
01 Nov 2024
Fair Class-Incremental Learning using Sample Weighting
Fair Class-Incremental Learning using Sample Weighting
Jaeyoung Park
Minsu Kim
Steven Euijong Whang
38
0
0
02 Oct 2024
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
Liangzu Peng
Juan Elenter
Joshua Agterberg
Alejandro Ribeiro
René Vidal
VLM
CLL
48
1
0
01 Oct 2024
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks
From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks
Clémentine Dominé
Nicolas Anguita
A. Proca
Lukas Braun
D. Kunin
P. Mediano
Andrew M. Saxe
40
3
0
22 Sep 2024
Drift to Remember
Drift to Remember
Jin Du
Xiaotian Zhang
Hao Shen
Xun Xian
Ganghua Wang
Jiawei Zhang
Yuhong Yang
Na Li
Jia Liu
Jie Ding
CLL
21
0
0
21 Sep 2024
Persistent Backdoor Attacks in Continual Learning
Persistent Backdoor Attacks in Continual Learning
Zhen Guo
Abhinav Kumar
R. Tourani
AAML
35
3
0
20 Sep 2024
Buffer-based Gradient Projection for Continual Federated Learning
Buffer-based Gradient Projection for Continual Federated Learning
Shenghong Dai
Jy-yong Sohn
Yicong Chen
S. Alam
Ravikumar Balakrishnan
Suman Banerjee
N. Himayat
Kangwook Lee
FedML
75
2
0
03 Sep 2024
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
Mohammadamin Banayeeanzade
Mahdi Soltanolkotabi
Mohammad Rostami
CLL
LRM
103
1
0
29 Aug 2024
A Probabilistic Framework for Adapting to Changing and Recurring
  Concepts in Data Streams
A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams
B. Halstead
Yun Sing Koh
Patricia J. Riddle
Mykola Pechenizkiy
Albert Bifet
TTA
AI4TS
40
3
0
18 Aug 2024
An Effective Dynamic Gradient Calibration Method for Continual Learning
An Effective Dynamic Gradient Calibration Method for Continual Learning
Weichen Lin
Jiaxiang Chen
Ru Huang
Huihua Ding
CLL
46
0
0
30 Jul 2024
Graceful task adaptation with a bi-hemispheric RL agent
Graceful task adaptation with a bi-hemispheric RL agent
Grant Nicholas
L. Kuhlmann
Gideon Kowadlo
47
0
0
16 Jul 2024
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey
Milan Ganai
Sicun Gao
Sylvia Herbert
40
6
0
12 Jul 2024
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning
Liyuan Wang
Jingyi Xie
Xingxing Zhang
Hang Su
Jun Zhu
CLL
47
5
0
07 Jul 2024
UCIL: An Unsupervised Class Incremental Learning Approach for Sound Event Detection
UCIL: An Unsupervised Class Incremental Learning Approach for Sound Event Detection
Yang Xiao
Rohan Kumar Das
50
4
0
04 Jul 2024
Learning System Dynamics without Forgetting
Learning System Dynamics without Forgetting
Xikun Zhang
Dongjin Song
Yushan Jiang
Yixin Chen
Dacheng Tao
AI4CE
42
2
0
30 Jun 2024
Learning Visual Conditioning Tokens to Correct Domain Shift for Fully
  Test-time Adaptation
Learning Visual Conditioning Tokens to Correct Domain Shift for Fully Test-time Adaptation
Yushun Tang
Shuoshuo Chen
Zhehan Kan
Yi Zhang
Qinghai Guo
Zhihai He
51
2
0
27 Jun 2024
Lifelong Robot Library Learning: Bootstrapping Composable and
  Generalizable Skills for Embodied Control with Language Models
Lifelong Robot Library Learning: Bootstrapping Composable and Generalizable Skills for Embodied Control with Language Models
Georgios Tziafas
H. Kasaei
KELM
LM&Ro
49
8
0
26 Jun 2024
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