iCaRL: Incremental Classifier and Representation Learning

Cited by (1,014)

Items 701–800 of 1,014

1. Model Evolution Mechanism for Incremental Fault Diagnosis
   Liuen Guan, Fei Qiao, Xiaodong Zhai, Dongyuan Wang · 2022 · IEEE Transactions on Instrumentation and Measurement
2. Intra-subject class-incremental deep learning approach for EEG-based imagined speech recognition
   Jesús S. García‐Salinas, Alejandro A. Torres-García, Carlos Alberto Reyes-Garcia, Luis Villaseñor-Pineda · 2022 · Biomedical Signal Processing and Control
3. Learning with Recoverable Forgetting
   Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang · 2022 · Lecture notes in computer science
4. Multilevel Adaptive Knowledge Distillation Network for Incremental SAR Target Recognition
   Xuelian Yu, Fulu Dong, Haohao Ren, Chengfa Zhang, Lin Zou, Yun Zhou · 2023 · IEEE Geoscience and Remote Sensing Letters
5. Continual Learning with Scaled Gradient Projection
   Gobinda Saha, Kaushik Roy · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
6. CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation
   Zekang Zhang, Guangyu Gao, Jianbo Jiao, Chi Harold Liu, Yunchao Wei · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
7. MiSSNet: Memory-Inspired Semantic Segmentation Augmentation Network for Class-Incremental Learning in Remote Sensing Images
   Jiajun Xie, Bin Pan, Xia Xu, Zhenwei Shi · 2024 · IEEE Transactions on Geoscience and Remote Sensing
8. Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay
   Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio · 2020 · arXiv (Cornell University)
9. Hierarchical Distribution-Based Exemplar Replay for Incremental SAR Automatic Target Recognition
   Haohao Ren, Rongsheng Zhou, Lin Zou, Hao Tang · 2025 · IEEE Transactions on Aerospace and Electronic Systems
10. Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey
    Yichen Li, Haozhao Wang, Wenchao Xu, Tianzhe Xiao, Hong Liu, Minzhu Tu, Yuying Wang, Xin Yang, Rui Zhang, Shui Yu et al. · 2025 · IEEE Communications Surveys & Tutorials
11. Interactive Incremental Defect Detection Framework With Macroprobability-Controlled Adaptive Learning
    Jun Yang, Bin Gao, Yifei Gong, Yukuan Kang, Wai Lok Woo · 2025 · IEEE Transactions on Industrial Informatics
12. Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects
    Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour, Boqiang Huang, Reza Azad, Dorit Merhof · 2025 · Medical Image Analysis
13. CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
    Jiangpeng He, Zhihao Duan, Fengqing Maggie Zhu · 2025 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
14. Generative Memory for Lifelong Learning
    Xin Su, Shangqi Guo, Tian Tan, Feng Chen · 2019 · IEEE Transactions on Neural Networks and Learning Systems
15. Unsupervised Progressive Learning and the STAM Architecture
    James Smith, Cameron Taylor, Seth Baer, Constantine Dovrolis · 2021 · International Joint Conference on Artificial Intelligence
16. Direction Concentration Learning: Enhancing Congruency in Machine Learning
    Yan Luo, Yongkang Wong, Mohan Kankanhalli, Qi Zhao · 2019 · IEEE Transactions on Pattern Analysis and Machine Intelligence
17. Boosting Deep Open World Recognition by Clustering
    Dario Fontanel, Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulo, Elisa Ricci, Barbara Caputo B · 2020 · IEEE Robotics and Automation Letters
18. Garment Recommendation with Memory Augmented Neural Networks
    Lavinia De Divitiis, Federico Becattini, Claudio Baecchi, Alberto Del Bimbo · 2021 · Lecture notes in computer science
19. A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay
    Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio · 2021 · IEEE Transactions on Neural Networks and Learning Systems
20. Incremental Deep Neural Network Learning Using Classification Confidence Thresholding
    Justin Leo, Jugal Kumar Kalita · 2021 · IEEE Transactions on Neural Networks and Learning Systems
21. I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
    Jiahua Dong, Yang Cong, Gan Sun, Bingtao Ma, Lichen Wang · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
22. Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
    Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Daniel Li, Xiaokai Wei, Andrew Arnold, Xiang Ren · 2022
23. RD-IOD: Two-Level Residual-Distillation-Based Triple-Network for Incremental Object Detection
    Dongbao Yang, Yu Zhou, Wei Shi, Dayan Wu, Weiping Wang · 2022 · ACM Transactions on Multimedia Computing Communications and Applications
24. Hyperspectral Image Classification Based on Class-Incremental Learning with Knowledge Distillation
    Meng Xu, Yuanyuan Zhao, Liang Yajun, Xiaorui Ma · 2022 · Remote Sensing
25. Constructing a Large-Scale Landslide Database Across Heterogeneous Environments Using Task-Specific Model Updates
    S. Nagendra, Daniel Kifer, Benjamin B. Mirus, Te Pei, Kathryn Lawson, srikanth banagere manjunatha, Weixin Li, Hien Nguyen, Tong Qiu, Sarah Tran et al. · 2022 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
26. Prompt-Based Prototypical Framework for Continual Relation Extraction
    Han Zhang, Bin Liang, Min Yang, Hui Wang, Ruifeng Xu · 2022 · IEEE/ACM Transactions on Audio Speech and Language Processing
27. Reinforced Continual Learning for Graphs
    Appan Rakaraddi, Lam Siew Kei, Mahardhika Pratama, Marcus de Carvalho · 2022 · ACM International Conference on Information and Knowledge Management (CIKM)
28. Efficient Perturbation Inference and Expandable Network for continual learning
    Fei Du, Yun Yang, Ziyuan Zhao, Zeng Zeng · 2022 · Neural Networks
29. SAR Target Recognition via Random Sampling Combination in Open-World Environments
    Xiaojing Geng, Ganggang Dong, Ziheng Xia, Hongwei Liu · 2022 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
30. Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning
    Bingchen Huang, Zhineng Chen, Peng Zhou, Jiayin Chen, Zuxuan Wu · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
31. Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition
    Junhao Zheng, Zhanxian Liang, Haibin Chen, Qianli Ma · 2022 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
32. FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer
    Chenghao Liu, Xiaoyang Qu, Jianzong Wang, Jing Zhong Xiao · 2023 · International Joint Conference on Artificial Intelligence
33. AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential Datasets
    Yuqing Zhao, Divya Saxena, Jiannong Cao · 2023 · IEEE Transactions on Neural Networks and Learning Systems
34. Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition
    Massimiliano Mancini, Hakan Karaoğuz, Elisa Ricci, Patric Jensfelt, Barbara Caputo B · 2019 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
35. Active learning framework for tunnel geological reconstruction based on TBM operational data
    Hao Wang, Lixue Liu, Maolin Shi, Jie Yang, Xueguan Song, Chao Zhang, Dacheng Tao · 2023 · Automation in Construction
36. A new lifelong learning method based on dual distillation for bearing diagnosis with incremental fault types
    Shijun Xie, Changqing Shen, Dong Wang, Juanjuan Shi, Weiguo Huang, Zhongkui Zhu · 2025 · Advanced Engineering Informatics
37. A Dual-Channel Collaborative Transformer for continual learning
    Hao Cai, Yizhe Wang, Yong Luo, Keming Mao · 2025 · Applied Soft Computing
38. Fast Adapting Without Forgetting for Face Recognition
    Hao Liu, Xiangyu Zhu, Zhen Lei, Dong Cao, Stan Ziqing Li · 2020 · IEEE Transactions on Circuits and Systems for Video Technology
39. Deep industrial transfer learning at runtime for image recognition
    Benjamin Maschler, Simon Kamm, Michael Weyrich · 2021 · at - Automatisierungstechnik
40. CILEA-NET: Curriculum-Based Incremental Learning Framework for Remote Sensing Image Classification
    S Divakar Bhat, Biplab Banerjee, Subhasis Chaudhuri, Avik Bhattacharya · 2021 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
41. A Tale of Two CILs: The Connections between Class Incremental Learning and Class Imbalanced Learning, and Beyond
    Chen He, Ruiping Wang, Xilin Chen · 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
42. A self-organizing incremental neural network for continual supervised learning
    Chayut Wiwatcharakoses, Daniel Berrar · 2021 · Expert Systems with Applications
43. Structure Aware Experience Replay for Incremental Learning in Graph-based Recommender Systems
    Kian Ahrabian, Yishi Xu, Yingxue Zhang, Jiapeng Wu, Yuening Wang, Mark Coates · 2021 · ACM International Conference on Information and Knowledge Management (CIKM)
44. Mutual Learning of Joint and Separate Domain Alignments for Multi-Source Domain Adaptation
    Yuanyuan Xu, Meina Kan, Shiguang Shan, Xilin Chen · 2022 · IEEE Winter Conference on Applications of Computer Vision
45. Continual Learning with Knowledge Transfer for Sentiment Classification
    Zixuan Ke, Bing Liu, Hao Wang, Lei Shu · 2021 · Lecture notes in computer science
46. Practical Recommendations for Replay-Based Continual Learning Methods
    Gabriele Merlin, Vincenzo Lomonaco, Andrea Cossu, Antonio Carta, Davide Bacciu · 2022 · Lecture notes in computer science
47. Learning Incrementally to Segment Multiple Organs in a CT Image
    Pengbo Liu, Xia Wang, Mengsi Fan, Hongli Pan, Minmin Yin, Xiaohong Zhu, Dandan Du, Xiaoying Zhao, Li Xiao, Lian Ding et al. · 2022 · Lecture notes in computer science
48. Life-Long Learning With Continual Spectral-Spatial Feature Distillation for Hyperspectral Image Classification
    Wenzhi Zhao, Rui Peng, Qiao Wang, Changxiu Cheng, William J. Emery, Liqiang Zhang · 2022 · IEEE Transactions on Geoscience and Remote Sensing
49. Understanding Collapse in Non-contrastive Siamese Representation Learning
    Alexander C. Li, Alexei A. Efros, Deepak Pathak · 2022 · Lecture notes in computer science
50. Continual Unsupervised Domain Adaptation in Data-Constrained Environments
    Abu Md Niamul Taufique, Chowdhury Sadman Jahan, Andreas E. Savakis · 2023 · IEEE Transactions on Artificial Intelligence
51. Knowledge-Preserving continual person re-identification using Graph Attention Network
    Zhaoshuo Liu, Chaolu Feng, Shuaizheng Chen, Jun Hu · 2023 · Neural Networks
52. Interpretable Incremental Voltage–Current Representation Attention Convolution Neural Network for Nonintrusive Load Monitoring
    Linfei Yin, Chen-Xiao Ma · 2023 · IEEE Transactions on Industrial Informatics
53. Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System
    Jie Du, Peng Liu, Chi‐Man Vong, Chuangquan Chen, Tianfu Wang, C. L. Philip Chen · 2023 · IEEE Transactions on Neural Networks and Learning Systems
54. Delving into Effective Gradient Matching for Dataset Condensation
    Zixuan Jiang, Jiaqi Gu, Mingjie Liu, David Zhigang Pan · 2023 · IEEE International Conference on Omni-layer Intelligent Systems (COINS)
55. Lifelong Learning With Cycle Memory Networks
    Jian Peng, Dingqi Ye, Bo Tang, Yinjie Lei, Yu Liu, Haifeng Li · 2023 · IEEE Transactions on Neural Networks and Learning Systems
56. Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation
    Peiyi Wang, Yifan Song, Tianyu Liu, Binghuai Lin, Yunbo Cao, Sujian Li, Zhifang Sui · 2022 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
57. Subspace distillation for continual learning
    Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Tafazzoli Harandi · 2023 · Neural Networks
58. Continual learning for cross-modal image-text retrieval based on domain-selective attention
    Rui Yang, Shuang Wang, Yu Gu, Jihui Wang, Yingzhi Sun, Huan Zhang, Yu Liao, Licheng Jiao · 2024 · Pattern Recognition
59. Incremental Generalized Category Discovery
    Bingchen Zhao, Oisin Mac Aodha · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
60. Heterogeneous Forgetting Compensation for Class-Incremental Learning
    Jia-Hua Dong, Wenqi Liang, Cong Yang, Gan Sun · 2023 · IEEE International Conference on Computer Vision
61. ADINet: Attribute Driven Incremental Network for Retinal Image Classification
    Qier Meng, Shin’ichi Satoh · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
62. Defining Benchmarks for Continual Few-Shot Learning
    Antreas Antoniou, Massimiliano Patacchiola, Mateusz Ochal, Amos Storkey · 2020 · arXiv (Cornell University)
63. Rethinking Few-Shot Class-Incremental Learning With Open-Set Hypothesis in Hyperbolic Geometry
    Yawen Cui, Zitong Yu, Wei Peng, Qi Tian, Li Liu · 2023 · IEEE Transactions on Multimedia
64. Continual Evidential Deep Learning for Out-of-Distribution Detection
    Eduardo Aguilar, Bogdan Raducanu, Petia I. Radeva, Joost van de Weijer · 2023 · IEEE International Conference on Computer Vision Workshops
65. CeCR: Cross-entropy contrastive replay for online class-incremental continual learning
    Guanglu Sun, Baolun Ji, Lili Liang, Minghui Chen · 2024 · Neural Networks
66. Influential Exemplar Replay for Incremental Learning in Recommender Systems
    Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
67. A Complementary Continual Learning Framework Using Incremental Samples for Remaining Useful Life Prediction of Machinery
    Xiangyu Ren, Yong Qin, Biao Wang, Xiaoqing Cheng, Limin Jia · 2024 · IEEE Transactions on Industrial Informatics
68. Toward General Industrial Intelligence: A Survey of Large Models as a Service in Industrial IoT
    Jianhua Tang, Jiao Chen, Jiayi He, Fangfang Chen, Zuohong Lv, Guangjie Han, Zuozhu Liu, Howard Hua Yang, Weihua Li · 2025 · IEEE Communications Surveys & Tutorials
69. Hierarchical Class Incremental Learning of Anatomical Structures in Fetal Echocardiography Videos
    Arijit Patra, Julia Alison Noble · 2020 · IEEE Journal of Biomedical and Health Informatics
70. Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network
    Jong-Yeong Kim, Dong-Wan Choi · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
71. Saliency Guided Experience Packing for Replay in Continual Learning
    Gobinda Saha, Kaushik Roy · 2023 · IEEE Winter Conference on Applications of Computer Vision
72. When Video Classification Meets Incremental Classes
    Hanbin Zhao, Xin Qin, Shihao Su, Yongjian Fu, Zibo Lin, Xi Li · 2021 · ACM International Conference on Multimedia (ACM MM)
73. Is Class-Incremental Enough for Continual Learning?
    Andrea Cossu, Gabriele Graffieti, Lorenzo Pellegrini, Davide Maltoni, Davide Bacciu, Antonio Carta, Vincenzo Lomonaco · 2022 · Frontiers in Artificial Intelligence
74. Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation
    Tiantian Zhang, Xueqian Wang, Bin Liang, Bo Yuan · 2022 · IEEE Transactions on Neural Networks and Learning Systems
75. Continual Learning in Real-Life Applications
    Gabriele Graffieti, Guido Borghi, Davide Maltoni · 2022 · IEEE Robotics and Automation Letters
76. Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation
    Antoine Saporta, Arthur Douillard, Tuan-Hung Vu, Patrick Pérez, Matthieu Cord · 2022 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
77. Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization
    Francesco Pelosin, Saurav Jha, Andrea Torsello A, Bogdan Raducanu, Joost van de Weijer · 2022 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
78. Learning by Seeing More Classes
    Fei Zhu, Xu-Yao Zhang, Rui-Qi Wang, Cheng-Lin Liu · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
79. Anti-retroactive Interference for Lifelong Learning
    Runqi Wang, Yuxiang Bao, Baochang Zhang, Jianzhuang Liu, Wentao Zhu, Guodong Guo · 2022 · Lecture notes in computer science
80. Helpful or Harmful: Inter-task Association in Continual Learning
    Hyundong Jin, Eunwoo Kim · 2022 · Lecture notes in computer science
81. Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
    Dipam Goswami, René Schuster, Joost van de Weijer, Didier Stricker · 2023 · IEEE Winter Conference on Applications of Computer Vision
82. Multi-feature space similarity supplement for few-shot class incremental learning
    Xinlei Xu, Saisai Niu, Zhe Wang, Wei Guo, Lihong Jing, Hai Yang · 2023 · Knowledge-Based Systems
83. Forget less, count better: a domain-incremental self-distillation learning benchmark for lifelong crowd counting
    Jiaqi Gao, Jingqi Li, Hongming Shan, Yanyun Qu, James Z. Wang, Fei–Yue Wang, Junping Zhang · 2023 · Frontiers of Information Technology & Electronic Engineering
84. Few-Shot Class-Incremental Audio Classification Using Dynamically Expanded Classifier With Self-Attention Modified Prototypes
    Yanxiong Li, Wenchang Cao, Wei Chau Xie, Jialong Li, Emmanouil Benetos · 2023 · IEEE Transactions on Multimedia
85. Improving Continual Relation Extraction by Distinguishing Analogous Semantics
    W. Z. Zhao, Yuanning Cui, Wei Tong Hu · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
86. Multi-Label Continual Learning Using Augmented Graph Convolutional Network
    Kaile Du, Fan Lyu, Linyan Li, Fuyuan Hu, Wei Feng, Fenglei Xu, Xuefeng Xi, Hanjing Cheng · 2023 · IEEE Transactions on Multimedia
87. Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases
    Wentao Zhang, Yujun Huang, Tong Zhang, Qingsong Zou, Wei‐Shi Zheng, Ruixuan Wang · 2023 · Lecture notes in computer science
88. Cross-Modal Alternating Learning With Task-Aware Representations for Continual Learning
    Wujin Li, Bin-Bin Gao, Bizhong Xia, Jinbao Wang, Jun Liu, Yong Liu, Chengjie Wang, Feng Zheng · 2023 · IEEE Transactions on Multimedia
89. Self-Evolved Dynamic Expansion Model for Task-Free Continual Learning
    Fei Ye, Adrian G. Borş · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
90. eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation
    Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
91. Importance Driven Continual Learning for Segmentation Across Domains
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92. Siamese Networks for Few-Shot Learning on Edge Embedded Devices
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93. Continual learning via inter-task synaptic mapping
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94. A rapid and efficient learning rule for biological neural circuits
    Eren Sezener, Agnieszka Grabska‐Barwińska, Dimitar Kostadinov, Maxime Beau, Sanjukta Krishnagopal, David Mark Budden, Marcus Hütter, Joel Veness, Matthew Botvinick, Claudia Clopath A et al. · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
95. Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)
    Isabelle Augenstein, Spandana Gella, Sebastian Ruder, Katharina Kann, Burcu Can, Alexis Conneau, Johannes Welbl, Xian Ren, Marek Rei · 2019
96. Lifelong learning with Shared and Private Latent Representations learned through synaptic intelligence
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97. Continual Learning with Deep Neural Networks in Physiological Signal Data: A Survey
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98. Azimuth-Aware Subspace Classifier for Few-Shot Class-Incremental SAR ATR
    Yan Chun Zhao, Lingjun Zhao, Siqian Zhang, Kefeng Ji, Gangyao Kuang, Li Liu · 2024 · IEEE Transactions on Geoscience and Remote Sensing
99. CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation
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100. Class Incremental Fault Diagnosis Under Limited Fault Data via Supervised Contrastive Knowledge Distillation
     Hanrong Zhang, Yifei Yao, Zixuan Wang, Jianwen Su, Mengxuan Li, Peng Peng, Hongwei Wang · 2025 · IEEE Transactions on Industrial Informatics