Related work

The foundational work on continual learning, 1980 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

188 papers of 8,653 · showing 1–50Sort Recent · Most cited
  1. 2026
    KSS-MoE: Knowledge Space Synergy Framework in Mixture of Experts for Continual Visual Instruction TuningLingyun Song, Ziyao Chen, Kang Pan … Xuequn ShangAAAI · Northwestern Polytechnical University · San Francisco Bay University · +1
    PDF ↗
  2. 2026PDF ↗
  3. 2026PDF ↗
  4. 2026
    Learning Adaptive and Expandable Mixture Model for Continual LearningFei Ye, yongcheng zhong, Qihe Liu … Shijie ZhouAAAI · University of Electronic Science and Technology of China · University of York
    PDF ↗
  5. 2026
    Online Cross-Modal Hashing with Expanding Label SpaceWentao Fan, Chao Zhang, Chunlin Chen, Huaxiong LiAAAI · Nanjing University
  6. 2026
    Rep Deep & Machine Learning: Exemplar-Free Continual Video Action Recognition via Slow-Fast Collaborative LearningXueyi Zhang, Jianhua Zhang, Zheng Li … Huiping ZhuangAAAI · Chinese University of Hong Kong, Shenzhen · University of Chinese Academy of Sciences · +4
    PDF ↗
  7. 2026
    Better Matching, Less Forgetting: A Quality-Guided Matcher for Transformer-based Incremental Object DetectionQirui Wu, Shizhou Zhang, De Cheng … Peng WangAAAI · Northwestern Polytechnical University · Medrobotics (United States)
    PDF ↗
  8. 2026
    Decomposing Prompts, Composing Actions: A Multi-Granularity Prompting Approach for Incremental Action LearningXinyi Cheng, Chenghao Xu, Xi Wang … Yanhua YangAAAI · Xidian University
  9. 2026
    Learning from imperfect data: incremental learning and Few-shot LearningYaoyao LiuAAAI · University of Illinois Urbana-Champaign
    PDF ↗
  10. 2026
    Parameter Merging with Gradient-Guided Supermasks in Online Continual LearningBenliu Qiu, Heqian Qiu, Lanxiao Wang … Hongliang LiAAAI · University of Electronic Science and Technology of China
  11. 2026PDF ↗
  12. 2026
    Forget Less by Learning from Parents Through Hierarchical RelationshipsArjun Ramesh Kaushik, Naresh Kumar Devulapally, Vishnu Suresh Lokhande … Venu GovindarajuAAAI
    PDF ↗
  13. 2026
    Lifelong Domain Adaptive 3D Human Pose EstimationQucheng Peng, Hongfei Xue, Pu Wang, Chen ChenAAAI
    PDF ↗
  14. 2026
    YOLO-IOD: Towards Real Time Incremental Object DetectionShizhou Zhang, Xueqiang Lv, Yinghui Xing … Yanning zhangAAAI
    PDF ↗
  15. 2026
    Bring Your Dreams to Life: Continual Text-to-Video CustomizationJiahua Dong, Xudong Wang, Wenqi Liang … Fahad Shahbaz KhanAAAI
    PDF ↗
  16. 2026
    Gene Incremental Learning for Single-Cell TranscriptomicsJiaxin Qi, Yan Cui, Jianqiang Huang, Gaogang XieAAAI
    PDF ↗
  17. 2026PDF ↗
  18. 2026PDF ↗
  19. 2026PDF ↗
  20. 2026PDF ↗
  21. 2026PDF ↗
  22. 2026PDF ↗
  23. 2026PDF ↗
  24. 2026
    LoKI: Low-damage Knowledge Implanting of Large Language ModelsRunyu Wang, Peng Ping, Guo, Zhengyu … Tianbo JiAAAI
    PDF ↗
  25. 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
    PDF ↗
  26. 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)
    PDF ↗
  27. 2025
    Adaptive Decision Boundary for Few-Shot Class-Incremental LearningLinhao Li, Yongzhang Tan, Siyuan Yang … Liang YangAAAI · Hebei University of Technology · Nanyang Technological University
    PDF ↗
  28. 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
    PDF ↗
  29. 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
    PDF ↗
  30. 2025
    Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual LearningYue Lu, Shizhou Zhang, De Cheng … Yanning ZhangAAAI · Northwestern Polytechnical University · Xidian University
    PDF ↗
  31. 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
    PDF ↗
  32. 2025PDF ↗
  33. 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
    PDF ↗
  34. 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
    PDF ↗
  35. 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
    PDF ↗
  36. 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
    PDF ↗
  37. 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
    PDF ↗
  38. 2025PDF ↗
  39. 2025
    Deep Graph Online Hashing for Multi-Label Image RetrievalYuan Cao, Xiangru Chen, Zifan Liu … Jie GuiAAAI · Ocean University of China · Ministry of Education
    PDF ↗
  40. 2025
    Enhancing Robustness in Incremental Learning with Adversarial TrainingSeungju Cho, Hongsin Lee, Changick KimAAAI · Korea Advanced Institute of Science and Technology
    PDF ↗
  41. 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
    PDF ↗
  42. 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
    PDF ↗
  43. 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
    PDF ↗
  44. 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
    PDF ↗
  45. 2025
    Exploring Rationale Learning for Continual Graph LearningLei Song, Jiaxing Li, Qinghua Si … Youyong KongAAAI
    PDF ↗
  46. 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
    PDF ↗
  47. 2025
    Metric-Agnostic Continual Learning for Sustainable Group FairnessHeng Lian, Chen Zhao, Zhong Chen … Yi HeAAAI · William & Mary · Baylor University · +3
    PDF ↗
  48. 2025
    Towards Macro-AUC Oriented Imbalanced Multi-Label Continual LearningYan Zhang, Guoqiang Wu, Bingzheng Wang … Yilong YinAAAI
    PDF ↗
  49. 2025
    Attack on Prompt: Backdoor Attack in Prompt-Based Continual LearningTrang M Nguyen, Anh Tran, Nhat HoAAAI · The University of Texas at Austin
    PDF ↗
  50. 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
    PDF ↗
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. By default it shows the papers we have a reason to trust: published at a venue like NeurIPS, ICML, ICLR, CVPR or TPAMI, or written by someone who has published there, or cited a few hundred times. The rest are one click away under “All papers”. 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.