iCaRL: Incremental Classifier and Representation Learning

Rebuffi, Sylvestre-Alvise, Kolesnikov, Alexander, Sperl, Georg, Lampert, Christoph H.·2017·2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Cited by (1,014)

Items 301–400 of 1,014

  1. Synaptic metaplasticity in binarized neural networks
    Axel Laborieux, Maxence Ernoult, Tifenn Hirtzlin, Damien Querlioz · 2021 · RePEc: Research Papers in Economics
  2. CIRCLE: continual repair across programming languages
    Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Quoc Viet Hung Nguyen, Xiaodong Hao, Hongzhi Yin · 2022 · ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA)
  3. Continuous transfer of neural network representational similarity for incremental learning
    Songsong Tian, Weijun Li, Xin Ning, Hang Ran, Hong Qin, Prayag Tiwari · 2023 · Neurocomputing
  4. A Memorizing and Generalizing Framework for Lifelong Person Re-Identification
    Nan Pu, Zhun Zhong, Nicu Sebe, Michael S. Lew · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  5. Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections
    Theodora Kontogianni, Michael Gygli, Jasper Uijlings, Vittorio Ferrari · 2020 · Lecture notes in computer science
  6. Class Boundary Exemplar Selection Based Incremental Learning for Automatic Target Recognition
    Sihang Dang, Zongjie Cao, Zongyong Cui, Yiming Pi, Nengyuan Liu · 2020 · IEEE Transactions on Geoscience and Remote Sensing
  7. Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
    Xueting Zhang, Debin Meng, Henry Gouk, Timothy M. Hospedales · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  8. GarbageNet: A Unified Learning Framework for Robust Garbage Classification
    Jianfei Yang, Zhaoyang Zeng, Kai Wang, Han Zou, Lihua Xie · 2021 · IEEE Transactions on Artificial Intelligence
  9. Efficient Architecture Search for Continual Learning
    Qiang Gao, Zhipeng Luo, Diego Klabjan, Fengli Zhang · 2022 · IEEE Transactions on Neural Networks and Learning Systems
  10. Incremental Learning in Semantic Segmentation from Image Labels
    Fabio Cermelli, Dario Fontanel, Antonio Tavera, Marco Ciccone, Barbara Caputo B · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  11. Radio Frequency Fingerprint Collaborative Intelligent Identification Using Incremental Learning
    Mingqian Liu, Jiakun Wang, Nan Zhao, Yunfei Chen, Hao Song, Fei Richard Yu · 2021 · IEEE Transactions on Network Science and Engineering
  12. Gradient Reweighting: Towards Imbalanced Class-Incremental Learning
    Jiangpeng He · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  13. Continual Learning With Knowledge Distillation: A Survey
    Songze Li, Tonghua Su, Xu-Yao Zhang, Zhongjie Wang · 2024 · IEEE Transactions on Neural Networks and Learning Systems
  14. Unseen Class Discovery in Open-world Classification
    Lei Shu, Hu Xu, Bing Liu · 2018 · arXiv (Cornell University)
  15. Adaptive Posterior Learning: few-shot learning with a surprise-based memory module
    Tiago Ramalho, Marta Garnelo · 2019 · arXiv (Cornell University)
  16. Continual All-in-One Adverse Weather Removal With Knowledge Replay on a Unified Network Structure
    De Cheng, Yanling Ji, Dong Gong, Yan Li, Nannan Wang, Junwei Han, Dingwen Zhang · 2024 · IEEE Transactions on Multimedia
  17. DeeSIL: Deep-Shallow Incremental Learning
    Belouadah, Eden, Popescu, Adrian · 2019 · Lecture Notes in Computer Science
  18. DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing
    Gaston Lenczner, Adrien Chan-Hon-Tong, Bertrand Le Saux, Nicola Luminari, Guy Le Besnerais · 2022 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  19. HFedMS: Heterogeneous Federated Learning With Memorable Data Semantics in Industrial Metaverse
    Shenglai Zeng, Zonghang Li, Hongfang Yu, Zhihao Zhang, Long Luo, Bo Li, Dusit Tao Niyato · 2023 · IEEE Transactions on Cloud Computing
  20. A Closer Look at Rehearsal-Free Continual Learning *
    James Seale Smith, Junjiao Tian, Shaunak Halbe, Yen-Chang Hsu, Zsolt Kira · 2023 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  21. Federated Incremental Semantic Segmentation
    Jiahua Dong, Duzhen Zhang, Yang Cong, Cong Wei, Henghui Ding, Dengxin Dai · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  22. Sleep-like unsupervised replay reduces catastrophic forgetting in artificial neural networks
    Timothy Tadros, Giri P. Krishnan, Ramyaa Ramyaa, Maxim Bazhenov · 2022 · Nature Communications
  23. Probing Representation Forgetting in Supervised and Unsupervised Continual Learning
    MohammadReza Davari, Nader Asadi, Sudhir P. Mudur, Rahaf Aljundi, Eugene Belilovsky · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  24. Continual Learning for Natural Language Generation in Task-oriented Dialog Systems
    Fei Mi, Liangwei Chen, Mengjie Zhao, Minlie Huang, Boi V. Faltings · 2020 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
  25. Online Coreset Selection for Rehearsal-based Continual Learning
    Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang · 2021 · arXiv (Cornell University)
  26. Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
    Vincenzo Lomonaco, Davide Maltoni, Lorenzo Pellegrini · 2020 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  27. Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks
    Zixuan Ke, Hu Xu, Bing Liu · 2021 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
  28. Class-Incremental Learning for Action Recognition in Videos
    Jaeyoo Park, Minsoo Kang, Bohyung Han · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  29. Learning Without Forgetting for Vision-Language Models
    Da-Wei Zhou, Yuanhan Zhang, Yan Wang, Jingyi Ning, Han-Jia Ye, De‐Chuan Zhan, Ziwei Liu · 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  30. Multi-Domain Incremental Learning for Semantic Segmentation
    Prachi Garg, Rohit Saluja, Vineeth Nallure Balasubramanian, Chetan Arora, Anbumani Subramanian, C. V. Jawahar · 2022 · IEEE Winter Conference on Applications of Computer Vision
  31. Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation
    Hongbin Lin, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Chuang Gan, Yanxia Liu, Mingkui Tan · 2022 · Lecture notes in computer science
  32. AdaER: An adaptive experience replay approach for continual lifelong learning
    Xingyu Li, Bo Tang, Haifeng Li · 2023 · Neurocomputing
  33. Traj-MAE: Masked Autoencoders for Trajectory Prediction
    Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng‐Ann Heng · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  34. Continual learning and catastrophic forgetting
    Gido M. van de Ven, Nicholas Soures, Dhireesha Kudithipudi · 2024 · Elsevier eBooks
  35. Classifier and Exemplar Synthesis for Zero-Shot Learning
    Soravit Changpinyo, Wei‐Lun Chao, Boqing Gong, Fei Sha · 2019 · International Journal of Computer Vision
  36. ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation
    Fei Mi, Xiaoyu Lin, Boi V. Faltings · 2020 · ACM Conference on Recommender Systems (RecSys)
  37. Online Continual Learning Under Extreme Memory Constraints
    Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci · 2020 · Lecture notes in computer science
  38. CoReD: Generalizing Fake Media Detection with Continual Representation using Distillation
    Minha Kim, Shahroz Tariq, Simon S. Woo · 2021 · ACM International Conference on Multimedia (ACM MM)
  39. Incremental Few-Shot Object Detection
    Perez-Rua, Juan-Manuel, Zhu, Xiatian, Hospedales, Timothy M., Xiang, Tao · 2020 · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  40. Continual learning fault diagnosis: A dual-branch adaptive aggregation residual network for fault diagnosis with machine increments
    Bojian Chen, Changqing Shen, Juanjuan Shi, Lin Jie Kong, Luyang Tan, Dong Wang, Zhongkui Zhu · 2022 · Chinese Journal of Aeronautics
  41. Semantic Knowledge Guided Class-Incremental Learning
    Shaokun Wang, Weiwei Shi, Songlin Dong, Xinyuan Gao, Xiang Rong Song, Yihong Gong · 2023 · IEEE Transactions on Circuits and Systems for Video Technology
  42. Fine-tuned Language Models are Continual Learners
    Thomas Scialom, Tuhin Chakrabarty, Smaranda Muresan · 2022 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
  43. Kitting in the Wild through Online Domain Adaptation
    Massimiliano Mancini, Hakan Karaoğuz, Elisa Ricci, Patric Jensfelt, Barbara Caputo B · 2018 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  44. Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
    Aleixo, Everton Lima, Colonna, Juan G., Cristo, Marco, Fernandes, Everlandio · 2024 · Journal of the Brazilian Computer Society
  45. Class-Incremental Learning with Generative Classifiers
    Gido M. van de Ven, Zhe Li, Andreas Savas Tolias · 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  46. Gradient Regularized Contrastive Learning for Continual Domain Adaptation
    Shixiang Tang, Peng Su, Dapeng Chen, Wanli Ouyang · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
  47. Striking a Balance between Stability and Plasticity for Class-Incremental Learning
    Guile Wu, Shaogang Gong, Pan Li Queen · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  48. A Lifelong Learning Method for Gearbox Diagnosis With Incremental Fault Types
    Bojian Chen, Changqing Shen, Dong Wang, Lin Jie Kong, Liang Chen, Zhongkui Zhu · 2022 · IEEE Transactions on Instrumentation and Measurement
  49. Asynchronous Federated Continual Learning
    Donald Shenaj, Marco Toldo, Alberto Rigon, Pietro Zanuttigh · 2023 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  50. An Elastic Expandable Fault Diagnosis Method of Three-Phase Motors Using Continual Learning for Class-Added Sample Accumulations
    Ao Ding, Yong Qin, Biao Wang, Xiaoqing Cheng, Limin Jia · 2023 · IEEE Transactions on Industrial Electronics
  51. Adaptive incremental diagnosis model for intelligent fault diagnosis with dynamic weight correction
    Kui Hu, Qingbo He, Changming Cheng, Zhike Peng · 2023 · Reliability Engineering & System Safety
  52. DataDAM: Efficient Dataset Distillation with Attention Matching
    Ahmad Sajedi, Samir Khaki, Ehsan Amjadian, Lucy Liu, Yuri Lawryshyn, Konstantinos N. Plataniotis · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  53. Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
    Aleixo, Everton L., Colonna, Juan G., Cristo, Marco, Fernandes, Everlandio · 2023 · arXiv
  54. A clinical deep learning framework for continually learning from cardiac signals across diseases, time, modalities, and institutions
    Dani Kiyasseh, Ting-Ting Zhu, D. Clifton · 2021 · Nature Communications
  55. LIL: Lightweight Incremental Learning Approach Through Feature Transfer for Remote Sensing Image Scene Classification
    Xiaonan Lü, Xian Sun, Wenhui Diao, Yingchao Feng, Peijin Wang, Kun Fu · 2021 · IEEE Transactions on Geoscience and Remote Sensing
  56. Wanderlust: Online Continual Object Detection in the Real World
    Jianren Wang, Xin Yue Wang, Yue Shangguan, Abhinav Gupta · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  57. Triple-Memory Networks: A Brain-Inspired Method for Continual Learning
    Liyuan Wang, Bo Lei, Qian Li, Hang Su, Jun Zhu, Yi Zhong · 2021 · IEEE Transactions on Neural Networks and Learning Systems
  58. SAR Target Incremental Recognition Based on Features With Strong Separability
    Fei Gao, Lingzhe Kong, Rongling Lang, Jinping Sun, Jun Wang, Amir Hussain, Huiyu Zhou · 2024 · IEEE Transactions on Geoscience and Remote Sensing
  59. Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning
    Wu-Xuan Shi, Mang Ye · 2023 · IEEE International Conference on Computer Vision
  60. Distillation-Constrained Prototype Representation Network for Hyperspectral Image Incremental Classification
    Chunyan Yu, Xiaowen Zhao, Baoyu Gong, Yabin Hu, Meiping Song, Haoyang Yu, Chein‐I Chang · 2024 · IEEE Transactions on Geoscience and Remote Sensing
  61. FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model
    Shuo Shao, Wenyuan Yang, Hanlin Gu, Zhan Qin, Lixin Fan, Qiang Yang, Kui Ren · 2024 · IEEE Transactions on Dependable and Secure Computing
  62. Revisiting Distillation and Incremental Classifier Learning
    Javed, Khurram, Shafait, Faisal · 2019 · Lecture Notes in Computer Science
  63. Continual Representation Learning for Biometric Identification
    Bo Zhao, Shixiang Tang, Dapeng Chen, Hakan Bilen, Rui Zhao · 2021 · IEEE Winter Conference on Applications of Computer Vision
  64. SID: Incremental learning for anchor-free object detection via Selective and Inter-related Distillation
    Can Peng, Kun Zhao, Sam Maksoud, Meng Li, Brian C. Lovell · 2021 · Computer Vision and Image Understanding
  65. Generalising without Forgetting for Lifelong Person Re-Identification
    Guile Wu, Shaogang Gong · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
  66. Semantic Segmentation with Active Semi-Supervised Learning
    A. Rangnekar, Christopher Kanan, Matthew J. Hoffman · 2022 · IEEE Workshop/Winter Conference on Applications of Computer Vision
  67. A Survey on Learning to Reject
    Xu-Yao Zhang, Guo-Sen Xie, Xiuli Li, Tao Mei, Cheng‐Lin Liu · 2023 · Proceedings of the IEEE
  68. Prototype-Guided Memory Replay for Continual Learning
    Stella Ho, Ming Liu, Lan Du, Longxiang Gao, Yong Xiang · 2023 · IEEE Transactions on Neural Networks and Learning Systems
  69. Deep adaptive sparse residual networks: A lifelong learning framework for rotating machinery fault diagnosis with domain increments
    Yan Zhang, Changqing Shen, Juanjuan Shi, Chuan Li, Xinhai Lin, Zhongkui Zhu, Dong Wang · 2024 · Knowledge-Based Systems
  70. OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning
    Noor Ahmed, Anna Kukleva, Bernt Schiele · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  71. Closed-Loop Memory GAN for Continual Learning
    Amanda Rios, Laurent Itti · 2019 · International Joint Conference on Artificial Intelligence
  72. Else-Net: Elastic Semantic Network for Continual Action Recognition from Skeleton Data
    Tianjiao Li, Qiuhong Ke, Hossein Rahmani, Rui En Ho, Henghui Ding, Jun Liu · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  73. Incremental Learning of Multi-Domain Image-to-Image Translations
    Daniel Stanley Tan, Yong-Xiang Lin, Kai‐Lung Hua · 2020 · IEEE Transactions on Circuits and Systems for Video Technology
  74. Endpoints Weight Fusion for Class Incremental Semantic Segmentation
    Jia–Wen Xiao, Chang–Bin Zhang, Jiekang Feng, Xialei Liu, Joost van de Weijer, Ming‐Ming Cheng · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  75. Continual Learning for Abdominal Multi-organ and Tumor Segmentation
    Yixiao Zhang, Xinyi Li, Hua-Xi Chen, Alan Yuille, Yaoyao Liu, Zongwei Zhou · 2023 · Lecture notes in computer science
  76. Learning optimal inter-class margin adaptively for few-shot class-incremental learning via neural collapse-based meta-learning
    Hang Ran, Weijun Li, Lusi Li, Songsong Tian, Xin Ning, Prayag Tiwari · 2024 · Information Processing & Management
  77. Incremental learning with multi-fidelity information fusion for digital twin-driven bearing fault diagnosis
    Xufeng Huang, Tingli Xie, Shuyang Luo, Jinhong Wu, Rongmin Luo, Qi Zhou · 2024 · Engineering Applications of Artificial Intelligence
  78. Preserving and combining knowledge in robotic lifelong reinforcement learning
    Yuan Meng, Zhenshan Bing, Xiangtong Yao, Kejia Chen, Kai Huang, Yang Gao, Fuchun Sun, Alois Knoll · 2025 · Nature Machine Intelligence
  79. Overcoming Long-Term Catastrophic Forgetting Through Adversarial Neural Pruning and Synaptic Consolidation
    Jian Peng, Bo Tang, Hao Jiang, Zhuo Li, Yinjie Lei, Tao Lin, Haifeng Li · 2021 · IEEE Transactions on Neural Networks and Learning Systems
  80. Cognitively-Inspired Model for Incremental Learning Using a Few Examples
    Ali Ayub, Alan Richard Wagner · 2020 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  81. Image De-raining via Continual Learning
    Man Zhou, Jie Xiao, Yifan Chang, Xueyang Fu, Aiping Liu, Jinshan Pan, Zheng-Jun Zha · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  82. Lifelong Person Re-identification by Pseudo Task Knowledge Preservation
    Wenhang Ge, Junlong Du, Ancong Wu, Yuqiao Xian, Ke Yan, Feiyue Huang, Wei‐Shi Zheng · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
  83. Class-Incremental Novel Class Discovery
    Subhankar Roy, Mingxuan Liu, Zhun Zhong, Nicu Sebe, Elisa Ricci · 2022 · Lecture notes in computer science
  84. Meta-attention for ViT-backed Continual Learning
    Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  85. Analysis of Continual Learning Models for Intrusion Detection System
    Sai Prasath, Kamalakanta Sethi, Dinesh Kumar Mohanty, Padmalochan Bera, Subhransu Ranjan Samantaray · 2022 · IEEE Access
  86. Continual Learning on Dynamic Graphs via Parameter Isolation
    Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim · 2023 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
  87. Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction
    Binwu Wang, Yudong Zhang, Xu Wang, Pengkun Wang, Zhengyang Zhou, Lei Bai, Yang Wang · 2023 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
  88. AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
    Runqi Wang, Xiaoyue Duan, Guoliang Kang, Jianzhuang Liu, Shaohui Lin, Songcen Xu, Jinhu Lv, Baochang Zhang · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  89. Continual Learning with Adaptive Weights (CLAW)
    Tameem Adel, Han Zhao, Richard E. Turner · 2019 · ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)
  90. Automated Class Discovery and One-Shot Interactions for Acoustic Activity Recognition
    Jason Wu, Chris Harrison, Jeffrey P. Bigham, Gierad Laput · 2020 · CHI Conference on Human Factors in Computing Systems
  91. Learning to hash: a comprehensive survey of deep learning-based hashing methods
    Avantika Singh, Shaifu Gupta · 2022 · Knowledge and Information Systems
  92. Multi-domain Learning for Updating Face Anti-spoofing Models
    Xiao Bo Guo, Yaojie Liu, Anil K. Jain, Xiaoming Liu · 2022 · Lecture notes in computer science
  93. Learn the New, Keep the Old: Extending Pretrained Models with New Anatomy and Images
    Fırat Özdemir, Philipp Fürnstahl, Orçun Göksel · 2018 · Lecture notes in computer science
  94. Class-Incremental Domain Adaptation
    Jogendra Nath Kundu, Rahul Venkatesh, Naveen Venkat, Ambareesh Revanur, R. Venkatesh Babu · 2020 · Lecture notes in computer science
  95. Lifelong Graph Learning
    Chen Wang, Yuheng Qiu, Dasong Gao, Sebastian Scherer · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  96. CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks
    Zixuan Ke, Bing Liu, Hu Xu, Lei Shu · 2021 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
  97. A Lifelong Learning Method Based on Generative Feature Replay for Bearing Diagnosis With Incremental Fault Types
    Yao Liu, Bojian Chen, Dong Wang, Lin Jie Kong, Juanjuan Shi, Changqing Shen · 2023 · IEEE Transactions on Instrumentation and Measurement
  98. Class-Incremental Learning using Diffusion Model for Distillation and Replay
    Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata · 2023 · IEEE International Conference on Computer Vision Workshops
  99. SMEMO: Social Memory for Trajectory Forecasting
    Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  100. Brain-Inspired Learning, Perception, and Cognition: A Comprehensive Review
    Licheng Jiao, Mengru Ma, Pei He, Xueli Geng, Xu Liu, Fang Liu, Wenping Ma, Shuyuan Yang, Biao Hou, Xu Tang · 2024 · IEEE Transactions on Neural Networks and Learning Systems