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.

4,574 papers · showing 1051–1100Sort Recent · Most cited
  1. 2025PDF ↗
  2. 2025PDF ↗
  3. 2025PDF ↗
  4. 2025
    MCITlib: Multimodal Continual Instruction Tuning Library and BenchmarkHaiyang Guo, Fei Zhu, Hongbo Zhao … Xu-Yao ZhangarXiv
    PDF ↗
  5. 2025
    OpenHAIV: A Framework Towards Practical Open-World LearningXiang Xiang, Qinhao Zhou, Zhuo Xu … Hanlin LiarXiv
    PDF ↗
  6. 2026PDF ↗
  7. 2025
    Comparing Knowledge Injection Methods for LLMs in a Low-Resource RegimeHugo Abonizio, Thales Sales Almeida, Roberto Lotufo, Rodrigo NogueiraAnais do XXII Encontro Nacional de Inteligência Artificia…
    PDF ↗
  8. 2026
    Decoupling Continual Semantic SegmentationYifu Guo, Yu-Quan Lu, Wentao Zhang … Ruixuan WangAAAI
    PDF ↗
  9. 2025
    Continual Learning for VLMs: A Survey and Taxonomy Beyond ForgettingYuyang Liu, Qiuhe Hong, Linlan Huang … Yonghong TianarXiv
    PDF ↗
  10. 2026
    ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task AdaptationYihua Shao, Xiaofeng Lin, Xinwei Long … Jing GuoAAAI
    PDF ↗
  11. 2025
    Federated Continual RecommendationJaehyung Lim, Wonbin Kweon, Woojoo Kim … Hwanjo YuCIKM
    PDF ↗
  12. 2025PDF ↗
  13. 2025
    TRAIL: Joint Inference and Refinement of Knowledge Graphs with Large Language ModelsXinkui Zhao, Hao-De Li, Yifan Zhang … Yue-Shen XuarXiv
    PDF ↗
  14. 2025
    Revisiting Continual Semantic Segmentation with Pre-trained Vision ModelsDuzhen Zhang, Yong Ren, Wei Cong … Tie-Lin ZhangarXiv
    PDF ↗
  15. 2025
    GaitAdapt: Continual Learning for Evolving Gait RecognitionJingjie Wang, Shun-Li Zhang, Xiang Wei, Senmao TianPattern Recognition
    PDF ↗
  16. 2026PDF ↗
  17. 2025
    Online Continual Graph LearningGiovanni Donghi, Luca Pasa, Daniele Zambon … Nicoló NavarinarXiv
    PDF ↗
  18. 2025
    Context selectivity with dynamic availability enables lifelong continual learningMartin Barry, Wulfram Gerstner, Guillaume BellecNeural Networks · École Polytechnique Fédérale de Lausanne
    PDF ↗
  19. 2020
    Simple Lifelong Learning MachinesJoshua T. Vogelstein, Jayanta Dey, Hayden S. Helm … Carey E. PriebeTPAMI · Johns Hopkins University · Baylor College of Medicine · +1
    PDF ↗
  20. 2025
    Learning to Evolve: Bayesian-Guided Continual Knowledge Graph EmbeddingLin-Yu Li, Zhi Jin, Yuanpeng He … Tashi NyimaWWW
    PDF ↗
  21. 2025PDF ↗
  22. 2026PDF ↗
  23. 2025
    Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language ModelsIstabrak Abbes, Gopeshh Subbaraj, Matthew Riemer … Irina RisharXiv
    PDF ↗
  24. 2025
    Federated Continual Graph LearningYinlin Zhu, Miao Hu, Di WuKDD · Sun Yat-sen University
    PDF ↗
  25. 2026PDF ↗
  26. 2025
    Improving Open-world Continual Learning under the Constraints of Scarce Labeled DataYujie Li, Xiangkun Wang, Xin Yang … Tianrui LiKDD · Southwestern University of Finance and Economics · Leiden University · +2
    PDF ↗
  27. 2025PDF ↗
  28. 2025PDF ↗
  29. 2025
    T2S: Tokenized Skill Scaling for Lifelong Imitation LearningHongquan Zhang, Gong, Jingyu, Z Y Zhang … Yuan XiearXiv
    PDF ↗
  30. 2025
    Optimal protocols for continual learning via statistical physics and control theoryFrancesco Mori, Stefano Sarao Mannelli, Francesca MignaccoICLR · University of Oxford · University of the Witwatersrand · +4
    PDF ↗
  31. 2025
    ErrorEraser: Unlearning Data Bias for Improved Continual LearningXuemei Cao, Hanlin Gu, Xin Yang … Tianrui LiKDD · Southwestern University of Finance and Economics · Southwest Jiaotong University
    PDF ↗
  32. 2025
    E-CGL: an efficient continual graph learnerJianhao Guo, Zixuan Ni, Yun Zhu, Siliang TangFrontiers of Information Technology & Electronic Engineering · Zhejiang University of Science and Technology
    PDF ↗
  33. 2025
    Replay Master: Automatic Sample Selection and Effective Memory Utilization for Continual Semantic SegmentationLanyun Zhu, Tianrun Chen, Jianxiong Yin … Jun LiuTPAMI · Singapore University of Technology and Design · Zhejiang University of Science and Technology · +1
    PDF ↗
  34. 2025
    Reinitializing weights vs units for maintaining plasticity in neural networksJ. Fernando Hernandez-Garcia, Shibhansh Dohare, Jun Luo, R. SuttonarXiv
    PDF ↗
  35. 2025PDF ↗
  36. 2025
    SPOT: An efficient training-free task similarity quantification method for continual learningXulong Wang, Yu Zhang, Tong Liu … Po YangPattern Recognition Letters · University of Sheffield · Hong Kong Polytechnic University
    PDF ↗
  37. 2025PDF ↗
  38. 2025
    Continual Learning with Support Boundary Experience BlendingChih-Fan Hsu, Ming‐Ching Chang, Wei-Chao ChenarXiv
    PDF ↗
  39. 2025PDF ↗
  40. 2025
    Loop based Continual LearningChang-Jun Ahn, Yunho Jeon, Wonjun HwangJournal of Broadcast Engineering
    PDF ↗
  41. 2025
    Capacity-Constrained Continual LearningZheng Wen, D. Precup, B. Van Roy, Satinder SingharXiv
    PDF ↗
  42. 2026PDF ↗
  43. 2025
    What Can Grokking Teach Us About Learning Under Nonstationarity?Clare Lyle, Gharda Sokar, Razvan Pascanu, Andr'as GyorgyarXiv
    PDF ↗
  44. 2025PDF ↗
  45. 2025
    CLoRA: Parameter-Efficient Continual Learning with Low-Rank AdaptationShishir Muralidhara, Didier Stricker, René SchusterarXiv
    PDF ↗
  46. 2025PDF ↗
  47. 2025
    Innovator: Scientific Continued Pretraining with Fine-grained MoE UpcyclingNing Liao, Xiaoxing Wang, Zehao Lin … Linfeng ZhangarXiv
    PDF ↗
  48. 2025PDF ↗
  49. 2025
    LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal ReasoningLuca Salvatore Lorello, Nikolaos Manginas, Marco Lippi, Stefano MelacciarXiv
    PDF ↗
  50. 2025
    Rehearsal-free Federated Domain-incremental LearningRui Sun, Haoran Duan, Jiahua Dong … Rajiv RanjanIEEE 45th International Conference on Distributed Computi… · Newcastle University · Mohamed bin Zayed University of Artificial Intelligence
    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. 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.