Related work

The foundational work on continual learning, 1988 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

1,469 papers of 6,984 · showing 851–900Sort Recent · Most cited
  1. 2025
    MEGA: Second-Order Gradient Alignment for Catastrophic Forgetting Mitigation in GFSCILJinhui Pang, Changqing Lin, Hao Lin … Xiaoshuai HaoarXiv
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  2. 2025
    MoM: Continual Generative Retrieval via Mixture of MemoriesYihan Guo, Yilong Chen, Jiawei Sheng, Tingwen LiuInternational Conference on Information Science, Electric… · Institute of Information Engineering · University of Chinese Academy of Sciences
  3. 2025PDF ↗
  4. 2025
    Uncertainty-Calibrated Test-Time Model Adaptation Without ForgettingMingkui Tan, Guohao Chen, Jiaxiang Wu … Shuaicheng NiuTPAMI · South China University of Technology · National University of Singapore · +2
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  5. 2025
    Boundary-aware Prototype Augmentation and Dual-level Knowledge Distillation for Non-Exemplar Class-Incremental HashingQinghang Su, Dayan Wu, Bo LiKnowledge-Based Systems · Aerospace Information Research Institute · Institute of Information Engineering · +2
  6. 2025
    Self-Controlled Dynamic Expansion Model for Continual LearningRunqing Wu, Kaihui Huang, Hanyi Zhang, Fei YearXiv
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  7. 2025
    Adaptive Synaptogenesis Implemented on a Nanomagnetic PlatformFaiyaz Elahi Mullick, Supriyo Bandyopadhyay, Robert L. Baxter … Avik W. GhosharXiv
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  8. 2025PDF ↗
  9. 2025
    Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental LearningZijian Gao, Shanhao Han, Xingxing Zhang … Huaimin WangAAAI · National University of Defense Technology · Tsinghua University
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  10. 2025
    Instruct Where the Model Fails: Generative Data Augmentation via Guided Self-contrastive Fine-tuningWeijian Ma, Ruoxin Chen, Ke-Yue Zhang … Shouhong DingAAAI · Fudan University · Tencent (China)
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  11. 2025
    Specifying What You Know or Not for Multi-Label Class-Incremental LearningAoting Zhang, Dongbao Yang, Chang Liu … Yu ZhouAAAI · Institute of Information Engineering · University of Chinese Academy of Sciences · +3
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  12. 2025
    MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge ReplayZeke Xia, Ming Hu, Dengke Yan … Mingsong ChenAAAI · East China Normal University · Singapore Management University · +1
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  13. 2025
    Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual LearningYue Lu, Shizhou Zhang, De Cheng … Yanning ZhangAAAI · Northwestern Polytechnical University · Xidian University
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  14. 2025
    DCA: Dividing and Conquering Amnesia in Incremental Object DetectionAoting Zhang, Dongbao Yang, Chang Liu … Yu ZhouAAAI · Institute of Information Engineering · University of Chinese Academy of Sciences · +3
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  15. 2025PDF ↗
  16. 2025
    GCD: Advancing Vision-Language Models for Incremental Object Detection via Global Alignment and Correspondence DistillationXu Wang, Zilei Wang, Zihan LinAAAI · University of Science and Technology of China
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  17. 2025
    Adaptive Prototype Replay for Class Incremental Semantic SegmentationGuilin Zhu, Dongyue Wu, Changxin Gao … Nong SangAAAI · Huazhong University of Science and Technology · Hunan Normal University
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  18. 2025
    CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language ModelsDongfang Li, Zetian Sun, Xinshuo Hu … Min ZhangAAAI · Harbin Institute of Technology
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  19. 2025
    Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-offSong Lai, Zhe Zhao, Fei Zhu … Gaofeng MengAAAI · City University of Hong Kong · City University of Hong Kong, Shenzhen Research Institute · +4
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  20. 2025
    Pseudo Informative Episode Construction for Few-Shot Class-Incremental LearningChaofan Chen, Xiaoshan Yang, Changsheng XuAAAI · Chinese Academy of Sciences · Beijing Academy of Artificial Intelligence · +1
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  21. 2025PDF ↗
  22. 2025
    Deep Graph Online Hashing for Multi-Label Image RetrievalYuan Cao, Xiangru Chen, Zifan Liu … Jie GuiAAAI · Ocean University of China · Ministry of Education
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  23. 2025
    Enhancing Robustness in Incremental Learning with Adversarial TrainingSeungju Cho, Hongsin Lee, Changick KimAAAI · Korea Advanced Institute of Science and Technology
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  24. 2025
    ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental LearningWenyao Ni, Jiangrong Shen, Qi Xu, Huajin TangAAAI · Zhejiang University · Xi'an Jiaotong University · +1
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  25. 2025
    AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided InversionChenqi Li, Boyan Gao, Gabriel Davis Jones … Tingting ZhuAAAI · University of Oxford
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  26. 2025
    Few-Shot Incremental Learning via Foreground Aggregation and Knowledge Transfer for Audio-Visual Semantic SegmentationJingqiao Xiu, Mengze Li, Zongxin Yang … Roger ZimmermannAAAI · National University of Singapore · Hong Kong University of Science and Technology · +4
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  27. 2025
    Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion EfficiencyYuhong Chen, Ailin Song, Huifeng Yin … Mingkun XuAAAI · Fuzhou University · Guangdong Polytechnic of Science and Technology · +2
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  28. 2025
    Dynamic Expansion Diffusion Learning for Lifelong Generative ModellingFei Ye, Adrian G. Borş, Kun ZhangAAAI · University of Electronic Science and Technology of China · University of York · +1
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  29. 2025
    Exploring Rationale Learning for Continual Graph LearningLei Song, Jiaxing Li, Qinghua Si … Youyong KongAAAI
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  30. 2025
    Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and RegularizationYawen Cui, Li Liu, Zitong Yu … Xiaopeng HongAAAI · Hong Kong Polytechnic University · Great Bay University · +1
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  31. 2025
    Metric-Agnostic Continual Learning for Sustainable Group FairnessHeng Lian, Chen Zhao, Zhong Chen … Yi HeAAAI · William & Mary · Baylor University · +3
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  32. 2025
    Towards Macro-AUC Oriented Imbalanced Multi-Label Continual LearningYan Zhang, Guoqiang Wu, Bingzheng Wang … Yilong YinAAAI
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  33. 2025
    Attack on Prompt: Backdoor Attack in Prompt-Based Continual LearningTrang M Nguyen, Anh Tran, Nhat HoAAAI · The University of Texas at Austin
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  34. 2025
    Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLPAnton Lee, Heitor Murilo Gomes, Yaqian Zhang, W. Bastiaan KleijnAAAI · Victoria University of Wellington · University of Waikato
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  35. 2025
    LAGD: Local Topological-Alignment and Global Semantic-Deconstruction for Incremental 3D Semantic SegmentationYumin Zhang, Haoran Duan, Rui Sun … Bo WeiAAAI · Newcastle University · Beijing Jiaotong University
  36. 2025
    Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic SegmentationYirui Wu, Yuhang Xia, Hao Li … Shaohua WanAAAI · Hohai University · Ministry of Water Resources of the People's Republic of China · +3
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  37. 2025
    Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity RecognitionZesheng Liu, Qiannan Zhu, Cuiping Li, Hong ChenAAAI · Renmin University of China · Beijing Normal University
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  38. 2025PDF ↗
  39. 2025
    Interweaving Memories of a Siamese Large Language ModelXin Song, Zhenwei Xue, Guoxiu He … Wei LuAAAI · East China Normal University · Worcester Polytechnic Institute · +1
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  40. 2025PDF ↗
  41. 2025PDF ↗
  42. 2025
    ALMM: Analytic Learning and Model Merging for Class Incremental LearningHe Han, Huiping ZhuangWorld Conference on Computing and Communication Technolog… · South China University of Technology
  43. 2025PDF ↗
  44. 2025
    Continual Unsupervised Generative Modelling via Online Optimal TransportFei Ye, Adrian G. Borş, Kun ZhangAAAI · University of Electronic Science and Technology of China · University of York · +2
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  45. 2025
    Lifelong Scalable Generative System via Online Maximum Mean DiscrepancyFei Ye, Adrian G. BorşAAAI · University of Electronic Science and Technology of China · University of York
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  46. 2025
    When to Learn and When to Stop: Quitting at the Optimal Time (Student Abstract)Diana Vins, Jean Erik Delanois, Maxim BazhenovAAAI · University of San Diego · University of California San Diego
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  47. 2025
    LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank AdaptationJuzheng Zhang, Jiacheng You, Ashwinee Panda, Tom GoldsteinarXiv
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  48. 2025
    Rethinking the Foundations for Continual Reinforcement LearningEsraa Elelimy, David Szepesvari, Martha White, Michael BowlingarXiv
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  49. 2025
    LoRAX: LoRA eXpandable Networks for Continual Synthetic Image AttributionDanielle Sullivan-Pao, Tian, Nicole, Pooya KhorramiBMVC
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  50. 2025
    SGB-Net: Scalable Graph Broad NetworkYuebin Xu, C. L. Philip Chen, Mengqi Wu, Tong ZhangTNNLS · South China University of Technology
About this index

We keep this list because we read the field and wanted one place to see it. It covers work on continual learning itself, in the core areas of machine learning, and leaves out papers that apply it inside another field, such as medical imaging or fault diagnosis. It lists only papers we have a reason to trust: published at a venue like NeurIPS, ICML, ICLR, CVPR or TPAMI, or led by someone who has published there, or cited a few hundred times. Preprints that later get accepted, and authors who later publish at those venues, are picked up by the weekly run. It is seeded from the community lists kept by ContinualAI and by Xialei Liu, then filled out from OpenAlex, and every week a script looks for new papers on OpenAlex and arXiv. A model reads each candidate and decides whether it belongs; a person reviews the additions before they go live. Authors and affiliations come from OpenAlex, so a recent preprint can lack its institutions for a week or two.

Missing something, or filed under the wrong venue? Write to hello@unify.ai with the arXiv id or DOI.