Related work

The foundational work on continual learning, 1991 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

960 papers of 4,574 · showing 551–600Sort Recent · Most cited
  1. 2025
    Instance-Prototype Affinity Learning for Non-Exemplar Continual Graph LearningLei Song, Jiaxing Li, Shihan Guan, Youyong KongarXiv
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  2. 2025
    Continual Learning of Large Language Models: A Comprehensive SurveyHaizhou Shi, Zihao Xu, Hengyi Wang … Hao WangACM Computing Surveys · Rutgers, The State University of New Jersey · Google (United States) · +1
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  3. 2025
    Preserving Plasticity in Continual Learning with Adaptive Linearity InjectionSeyed Roozbeh Razavi Rohani, Khashayar Khajavi, Wesley Chung … Sharan VaswaniarXiv
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  4. 2025
    Topological Mapping and Continual LearningNaoyuki Kubota, Takenori Obo, Yuichiro Toda, Naoki MasuyamaJournal of Japan Society for Fuzzy Theory and Intelligent… · Tokyo Metropolitan University · Okayama University · +1
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  5. 2025
    Aya Vision: Advancing the Frontier of Multilingual MultimodalitySaurabh Dash, Nan Yu, John Dang … Sara HookerarXiv
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  6. 2025PDF ↗
  7. 2025
    Low-Complexity Inference in Continual Learning via Compressed Knowledge TransferZhenrong Liu, Janne M. J. Huttunen, Mikko HonkalaarXiv
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  8. 2025PDF ↗
  9. 2025
    PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental LearningFei Zhu, Xu-Yao Zhang, Zhen Cheng, Cheng‐Lin LiuTPAMI · Chinese University of Hong Kong, Shenzhen · Chinese Academy of Sciences · +1
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  10. 2025PDF ↗
  11. 2025
    Prototype Augmented Hypernetworks for Continual LearningNeil De La Fuente, Maria Pilligua, Daniel Vidal … Andrey BarskyCVPR
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  12. 2025
    Learning Dynamics in Continual Pre-Training for Large Language ModelsXingjin Wang, Howe Tissue, Lu Wang … Daniel Dajun ZengICML
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  13. 2025
    ReplayCAD: Generative Diffusion Replay for Continual Anomaly DetectionLei Hu, Zhiyong Gan, Ling Deng … Tianshui ChenIJCAI
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  14. 2025
    Unleashing the Power of Continual Learning on Non-Centralized Devices: A SurveyYichen Li, Haozhao Wang, Wenchao Xu … Ruixuan LiIEEE Communications Surveys & Tutorials · Huazhong University of Science and Technology · Hong Kong Polytechnic University · +5
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  15. 2025
    Neuro-Symbolic ConceptsJiayuan Mao, Joshua B. Tenenbaum, Jiajun WuarXiv
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  16. 2025
    Class Incremental Learning with probability dampening and cascaded gated classifierJary Pomponi, Alessio Devoto, Simone ScardapaneNeurocomputing · Sapienza University of Rome
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  17. 2025
    Autoencoder-Based Hybrid Replay for Class-Incremental LearningMilad Khademi Nori, Il‐Min Kim, Guanghui WangICML
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  18. 2025
    Anterograde interference in multitask perceptual learningJia Yang, Fang-Fang Yan, Tingting Wang … Chang‐Bing Huangnpj Science of Learning · Peking University · Institute of Psychology, Chinese Academy of Sciences · +6
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  19. 2025
    HINT: Hypernetwork approach to training weight interval regions in continual learningPatryk Krukowski, Anna Bielawska, Kamil Książek … Przemysław SpurekInformation Sciences · Jagiellonian University · Narodowy Instytut Leków · +1
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  20. 2025PDF ↗
  21. 2025PDF ↗
  22. 2025
    Efficient Continual Learning in Keyword Spotting using Binary Neural NetworksQ. Vu, Luciano Sebastian Martinez-Rau, Yuxuan Zhang … S. BaderSensors Applications Symposium
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  23. 2025
    Memorization and Knowledge Injection in Gated LLMsPan Xu, Ely Hahami, Zechen Zhang, Haim SompolinskyarXiv
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  24. 2025
    What Causes Knowledge Loss in Multilingual Language Models?Maria Khelli, Samuel Cahyawijaya, Ayu Purwarianti, Genta Indra WinataarXiv
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  25. 2025
    Low-redundancy distillation for continual learningRuiqi Liu, Boyu Diao, Libo Huang … Yongjun XuPattern Recognition · Chinese Academy of Sciences · Institute of Computing Technology · +1
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  26. 2025
    CIT: Rethinking Class-incremental Semantic Segmentation with a Class Independent TransformationJinchao Ge, Bowen Zhang, Akide Liu … Yang ZhaoPattern Recognition · The University of Adelaide · Monash University · +1
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  27. 2025
    Continual Unsupervised Generative ModelingFei Ye, Adrian G. BorşTPAMI · University of Electronic Science and Technology of China · University of York
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  28. 2025
    Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural CollapseKun He, Zijian Song, Shuoxi Zhang, John E. HopcroftarXiv
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  29. 2025
    Continual Human-in-the-Loop OptimizationYi-Chi Liao, Paul Streli, Zhipeng Li … Christian HolzInternational Conference on Human Factors in Computing Sy… · ETH Zurich
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  30. 2025PDF ↗
  31. 2025
    Mathematics of Continual LearningPeng, Liangzu, René VidalarXiv
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  32. 2025
    Efficient Self-Supervised Continual Learning with Progressive Task-Correlated Layer FreezingLi Yang, Sen Lin, Fan Zhang … Deliang FanInternational Symposium on Quality Electronic Design (ISQED) · University of North Carolina at Charlotte · University of Houston · +3
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  33. 2025
    Noise-Tolerant Coreset-Based Class Incremental Continual LearningEdison Mucllari, Aswin Raghavan, Zachary DanielsarXiv
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  34. 2025
    MoCFL: Mobile Cluster Federated Learning Framework for Highly Dynamic NetworkKai Fang, Jiangtao Deng, Chengzu Dong … Wei WangWWW · Zhejiang A & F University · Shenzhen University · +1
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  35. 2025
    Few-Shot Vision-Language Action-Incremental Policy LearningMingchen Song, Xiang Deng, Guoqiang Zhong … Weili GuanarXiv
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  36. 2025
    Distribution-aware Forgetting Compensation for Exemplar-Free Lifelong Person Re-identificationShiben Liu, Huijie Fan, Qiang Wang … Liang-Qiong QuIEEE Trans. Multimedia
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  37. 2025PDF ↗
  38. 2025
    HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient TuningLiyuan Wang, Jingyi Xie, Xingxing Zhang … Jun ZhuTPAMI · Tsinghua University
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  39. 2025
    LoRA-Based Continual Learning with Constraints on Critical Parameter ChangesShimou Ling, Liang Zhang, Jiangwei Zhao … Hongliang LiPattern Recognition
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  40. 2025
    MEGA: Second-Order Gradient Alignment for Catastrophic Forgetting Mitigation in GFSCILJinhui Pang, Changqing Lin, Hao Lin … Xiaoshuai HaoarXiv
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  41. 2025PDF ↗
  42. 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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  43. 2025
    Self-Controlled Dynamic Expansion Model for Continual LearningRunqing Wu, Kaihui Huang, Hanyi Zhang, Fei YearXiv
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  44. 2025
    Adaptive Synaptogenesis Implemented on a Nanomagnetic PlatformFaiyaz Elahi Mullick, Supriyo Bandyopadhyay, Robert L. Baxter … Avik W. GhosharXiv
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  45. 2025PDF ↗
  46. 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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  47. 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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  48. 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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  49. 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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  50. 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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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, and only papers with a PDF we can point you at, so every title opens the paper itself. 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.