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.

761 papers of 4,574 · showing 701–750Sort Recent · Most cited
  1. 2026
    Harmonizing the Past, Present, and Future: A Null-Space Constrained Region-Specific Method for Continual Learning in LLMsJinhui Chen, Shizhu He, Xingchang Yang … Jun ZhaoACL · Shandong Institute of Automation · Beijing Academy of Artificial Intelligence · +3
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  2. 2026
    Miles: Metric Learning With Expandable Subspace for Pre-Trained Model-Based Class-Incremental LearningKai Jiang, Zisong Lin, Hongyuan Zhang … Xuelong LiTIP · Xidian University · University of Hong Kong · +1
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  3. 2026
    Multi-Level Collaborative Distillation Meets Global Workspace Model: A Unified Framework for OCILShibin Su, Guoqiang Liang, De Cheng … Lingyan RanTIP · Northwestern Polytechnical University · Xidian University
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  4. 2026
    Soft Orthogonal Low-Rank Adaptation for Knowledge Sharing in Large Language Model Continual LearningYitong Wang, Xue Han, Wenchun Gao … Junlan FengACL · Jiuquan Iron & Steel (China) · China Mobile (China) · +1
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  5. 2026
    The Dominance of Text Space: Unveiling the Asymmetric Nature of Cross-Modal Alignment in Large Language ModelsLinqing Chen, Hanmeng Zhong, Wentao Wu, Peng ZhouACL · Suzhou Research Institute
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  6. 2026
    Type-Balanced Contextual Learning for Incremental Named Entity RecognitionDuzhen Zhang, Yahan Yu, Xiuyi Chen … Dong YuIEEE TAI · Mohamed bin Zayed University of Artificial Intelligence · Kyoto University · +2
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  7. 2026
    VFA: Empowering Multilingual MLLMs via Vision-Free AdaptationYixia Li, Yaqing Shi, Zhiwen Ruan … Furu WeiACL · Southern University of Science and Technology · Shanghai University of Finance and Economics · +3
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  8. 2026PDF ↗
  9. 2026PDF ↗
  10. 2026
    Lifelong Domain Adaptive 3D Human Pose EstimationQucheng Peng, Hongfei Xue, Pu Wang, Chen ChenAAAI
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  11. 2026PDF ↗
  12. 2026
    YOLO-IOD: Towards Real Time Incremental Object DetectionShizhou Zhang, Xueqiang Lv, Yinghui Xing … Yanning zhangAAAI
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  13. 2026PDF ↗
  14. 2026PDF ↗
  15. 2026
    CIP-Net: Continual Interpretable Prototype-based NetworkDi Valerio, Federico, Proietti, Michela, Ragno, Alessio, Capobianco, RobertoAAAI
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  16. 2026
    Bring Your Dreams to Life: Continual Text-to-Video CustomizationJiahua Dong, Xudong Wang, Wenqi Liang … Fahad Shahbaz KhanAAAI
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  17. 2026
    Forget Less, Retain More: A Lightweight Regularizer for Rehearsal-Based Continual LearningLama Alssum, Hasan Abed Al Kader Hammoud, Motasem Alfarra … Bernard GhanemTMLR
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  18. 2026
    Dual prototypes for adaptive pre-trained model in class-incremental learningZhiming Xu, Zhiming Xu, Suorong Yang … Jian ZhaoNeural Networks · Nanjing University · Nanjing University of Science and Technology
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  19. 2026PDF ↗
  20. 2026
    Catastrophic Forgetting in Kolmogorov-Arnold NetworksMohammad Marufur Rahman, G. Wang, Kaixiong Zhou … Fan YangAAAI
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  21. 2026PDF ↗
  22. 2026
    Gene Incremental Learning for Single-Cell TranscriptomicsJiaxin Qi, Yan Cui, Jianqiang Huang, Gaogang XieAAAI
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  23. 2026
    Data Heterogeneity and Forgotten Labels in Split Federated LearningJoana Tirana, Dimitra Tsigkari, David Noguéro, Nicolas KourtellisAAAI
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  24. 2026PDF ↗
  25. 2026
    SCALE: Upscaled Continual Learning of Large Language ModelsJin-woo Lee, Junhwa Choi, Bongkyu Hwang … Suk-Hoon JungACL
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  26. 2026
    An Intrinsically Knowledge-Transferring Developmental Spiking Neural Network for Tactile ClassificationJiaqi Xing, Wei Li, Zezheng Zhang … Zhibin ZhangTNNLS · Uppsala University · Qatar University
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  27. 2026PDF ↗
  28. 2026
    Taming Modality Entanglement in Continual Audio-Visual SegmentationHong, Yuyang, Qi Yang, Tao Zhang … Shiming XiangTMLR
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  29. 2026PDF ↗
  30. 2026PDF ↗
  31. 2026PDF ↗
  32. 2026PDF ↗
  33. 2026
    Continually Adding New Languages to Multilingual Language ModelsAbraham Toluwase Owodunni, Sachin KumarTMLR
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  34. 2026
    HiCL: Hippocampal-Inspired Continual LearningK. Kapoor, Wyatt Mackey, Y. Aloimonos, Xiao-Sheng LinAAAI
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  35. 2026PDF ↗
  36. 2026
    Decoupling Continual Semantic SegmentationYifu Guo, Yu-Quan Lu, Wentao Zhang … Ruixuan WangAAAI
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  37. 2026
    ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task AdaptationYihua Shao, Xiaofeng Lin, Xinwei Long … Jing GuoAAAI
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  38. 2026PDF ↗
  39. 2026PDF ↗
  40. 2026PDF ↗
  41. 2026PDF ↗
  42. 2026PDF ↗
  43. 2026
    Holistic Continual Learning under Concept Drift with Adaptive Memory RealignmentAlif Ashrafee, Jedrzej Kozal, Micha l Woźniak, B. KrawczykTMLR
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  44. 2026PDF ↗
  45. 2026PDF ↗
  46. 2026
    Adapt before Continual LearningAlex Lu, Tao Feng, Holly Yuan … Yanan SunAAAI
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  47. 2026
    LoKI: Low-damage Knowledge Implanting of Large Language ModelsRunyu Wang, Peng Ping, Guo, Zhengyu … Tianbo JiAAAI
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  48. 2026PDF ↗
  49. 2026PDF ↗
  50. 2026
    Parameter Efficient Continual Learning with Dynamic Low-Rank AdaptationPrashant Bhat, Shakib Yazdani, Elahe Arani, Bahram ZonoozTMLR
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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.