Related work

The foundational work on continual learning, 1959 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

62 papers of 11,817 · showing 1–50Sort Recent · Most cited
  1. 2025
  2. 2025
  3. 2025
    Gradient Decomposition and Alignment for Incremental Object DetectionWenlong Luo, Shizhou Zhang, De Cheng … Yanning ZhangICCV
  4. 2025PDF ↗
  5. 2025
  6. 2025
    FedAGC: Federated Continual Learning with Asymmetric Gradient CorrectionCheng-Chao Zhang, Fanhua Shang, Hongying Liu … Wei FengICCV
  7. 2025
  8. 2025
  9. 2025
  10. 2025
  11. 2025
    Overcoming Dual Drift for Continual Long-Tailed Visual Question AnsweringFeifei Zhang, Zhihao Wang, Xi Zhang, Changsheng XuICCV
  12. 2025
  13. 2025
  14. 2025
  15. 2025
  16. 2025
  17. 2025
    B-Cos Networks as an Architectural Inductive Bias for Mitigating Catastrophic ForgettingAmelia Sorrenti, Giovanni Bellitto, Salvatore Calcagno … S. PalazzoICCV
  18. 2025
    Forgetting-Free Incremental Panoptic Lifting by Maximum-Visibility Viewpoint SelectionAkira Kohjin, Motoharu Sonogashira, M. Iiyama, Yasutomo KawanishiICCV
  19. 2025
  20. 2025
  21. 2025PDF ↗
  22. 2025
    Continual Personalization for Diffusion ModelsYu-Chien Liao, Jr-Jen Chen, Chi-Pin Huang … Yu-Chiang Frank WangICCV
    PDF ↗
  23. 2025
  24. 2025PDF ↗
  25. 2025
    Forecasting and Visualizing Air Quality from Sky Images with Vision-Language ModelsMohammad Saleh Vahdatpour, Maryam Eyvazi, Yanqing ZhangICCV
    PDF ↗
  26. 2025PDF ↗
  27. 2025PDF ↗
  28. 2025
    Incremental Object Detection with Prompt-Based MethodsMatthias Neuwirth-Trapp, Maarten Bieshaar, D. Paudel, L. van GoolICCV
    PDF ↗
  29. 2025
    RICO: Two Realistic Benchmarks and an In-Depth Analysis for Incremental Learning in Object DetectionMatthias Neuwirth-Trapp, Maarten Bieshaar, D. Paudel, Luc Van GooICCV
    PDF ↗
  30. 2025
    Infusing Fine-Grained Visual Knowledge to Vision-Language ModelsNikolaos-Antonios Ypsilantis, Kaifeng Chen, André Araújo, Ondrej ChumICCV
    PDF ↗
  31. 2025PDF ↗
  32. 2025
    GaussianUpdate: Continual 3D Gaussian Splatting Update for Changing EnvironmentsLin Zeng, Boming Zhao, Jiarui Hu … Zhao-Peng CuiICCV
    PDF ↗
  33. 2025PDF ↗
  34. 2025PDF ↗
  35. 2025
    Membership Inference Attacks With False Discovery Rate ControlChenxu Zhao, Wei Qian, Aobo Chen, Mengdi HuaiICCV
    PDF ↗
  36. 2025PDF ↗
  37. 2025PDF ↗
  38. 2025PDF ↗
  39. 2025PDF ↗
  40. 2025PDF ↗
  41. 2025PDF ↗
  42. 2025PDF ↗
  43. 2025
    PROL: Rehearsal Free Continual Learning in Streaming Data via Prompt Online LearningM. A. Ma'sum, Mahardhika Pratama, Savitha Ramasamy … Ryszard KowalczykICCV
    PDF ↗
  44. 2025PDF ↗
  45. 2025PDF ↗
  46. 2025PDF ↗
  47. 2025PDF ↗
  48. 2025
    CL-Splats: Continual Learning of Gaussian Splatting with Local OptimizationJan Ackermann, Jonáš Kulhánek, Shengqu Cai … Songyou PengICCV
    PDF ↗
  49. 2025
    Multi-Model Adaptive Ensemble Method for Fewshot Class-Incremental LearningLin-Hao Li, Xiaojuan Fan, Yongzhang Tan, Yingshuang LiICCV
  50. 2025
    Online Reasoning Video Segmentation with Just-in-Time Digital TwinsYiqing Shen, Bo-Han Liu, Chen-Jia Li … Mathias UnberathICCV
    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 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.