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 551–600Sort Recent · Most cited
  1. 2026
    FastODT: A tree-based framework for efficient continual learningDaniel Bretsko, Piotr Walas, Devashish Khulbe … Tomas SaturaarXiv
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  2. 2026
    Unsupervised Continual Learning for Amortized Bayesian InferenceAayush Mishra, Šimon Kucharský, Paul-Christian BürknerarXiv
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  3. 2026PDF ↗
  4. 2026
    Learning in the Null Space: Small Singular Values for Continual LearningCuong Anh Pham, Praneeth Vepakomma, Samuel HorvátharXiv
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  5. 2026
    EW-DETR: Evolving World Object Detection via Incremental Low-Rank DEtection TRansformerMunish Monga, Vishal Chudasama, Pankaj Wasnik, C. V. JawaharCVPR
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  6. 2026PDF ↗
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  8. 2026
    Hybrid Offline–Online Learning of Fuzzy Cognitive Maps for Forecasting Nonstationary Streaming Time SeriesX. Liu, Yingjun Zhang, Hui Wang … Baigen CaiIEEE Transactions · Lanzhou Jiaotong University · Beijing Jiaotong University · +1
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  9. 2026PDF ↗
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  11. 2026
    Online Continual Learning via Spiking Neural Networks with Sleep Enhanced Latent ReplayErliang Lin, Wenbin Luo, Wu Jia … Wenying XuInternational Conference on Intelligent Control and Infor… · Southeast University
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  12. 2026
    Audio-Visual Continual Test-Time Adaptation without ForgettingSarthak Kumar Maharana, Akshay Mehra, B.S. Ramakrishna … Guan-Ming SuarXiv
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  13. 2026
    Continual-NExT: A Unified Comprehension And Generation Continual Learning FrameworkJingyang Qiao, Zhizhong Zhang, Xin Tan … Yuan XiearXiv
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  14. 2026
    Revisiting Weight Regularization for Low-Rank Continual LearningYaoyue Zheng, Yin Zhang, Joost van de Weijer … Zhiqiang TianICLR
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  15. 2026
    Continual learning and refinement of causal models through dynamic predicate inventionEnrique Crespo-Fernandez, Oliver Ray, Telmo M. Silva Filho, Peter FlacharXiv
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  16. 2026
    FOCUS: Frequency-Optimized Conditioning of diffUSion models for mitigating catastrophic forgetting during test-time adaptationGabriel Tjio, Jie Zhang, Xulei Yang … Qing GuoMachine Vision and Applications · Agency for Science, Technology and Research · Nanyang Technological University · +4
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  17. 2026
    Panini: Continual Learning in Token Space via Structured MemoryShreyas Rajesh, Pavan Holur, Mehmet Y. Turali … Vwani RoychowdhuryarXiv
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  18. 2026
    Towards Experience Replay for Class-Incremental Learning in Fully-Binary NetworksYanis Basso-Bert, Anca Molnos, Romain Lemaire … Antoine DupretACM Transactions · Commissariat à l'Énergie Atomique et aux Énergies Alternatives · CEA Grenoble · +3
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  19. 2026
    CASP: Few-Shot Class-Incremental Learning with CLS Token Attention Steering PromptsShuai Huang, Xuhan Lin, Yuwu LuPattern Recognition · South China Normal University
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  20. 2026
    Policy Gradient with Adaptive Entropy Annealing for Continual Fine-TuningYaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert BifetarXiv
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  21. 2026
    Advancing Analytic Class-Incremental Learning through Vision-Language CalibrationBinyu Zhao, Wei Zhang, Xingrui Yu … Ivor W. TsangICML
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  22. 2026
    Multi-Head Attention as a Source of Catastrophic Forgetting in MoE TransformersA. Q. Chen, Ruijun Huang, Xin Zhang … Li ShangarXiv
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  23. 2026
    Learning on the Fly: Replay-Based Continual Object Perception for Indoor DronesSebastian-Ion Nae, Mihai-Eugen Barbu, Sebastian Mocanu, Marius LeordeanuarXiv
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  24. 2026
    General Humanoid Whole-Body Control via Pretraining and Fast AdaptationZepeng Wang, Jiangxing Wang, Shiqing Yao … Zongqing LuarXiv
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  25. 2026
    Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-TuningYuan Liu, Hao-Ran Li, Shuai Tian … Dong-Bin ZhaoRobotics
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  26. 2026
    Reinforced Curriculum Pre-Alignment for Domain-Adaptive VLMsYuming Yan, Shuo Yang, Kai Tang … Edith C. H. NgaiarXiv
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  27. 2026
    Patch the Distribution Mismatch: RL Rewriting Agent for Stable Off-Policy SFTJiacheng Wang, Ping Jian, Zhen Yang … Zhongbin GuoarXiv
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  28. 2026PDF ↗
  29. 2026
    Autonomous Continual Learning for Environment Adaptation of Computer-Use AgentsTianci Xue, Zeyi Liao, Tianneng Shi … Huan SunarXiv
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  30. 2026
    Robust Policy Optimization to Prevent Catastrophic ForgettingMahdi Sabbaghi, George J. Pappas, Adel Javanmard, Hamed HassaniarXiv
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  31. 2026PDF ↗
  32. 2026
    Learning to Remember, Learn, and Forget in Attention-Based ModelsDjohan Bonnet, Jamie Lohoff, Jan Finkbeiner … Emre NeftciarXiv
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  33. 2026PDF ↗
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  35. 2026
    MePo: Meta Post-Refinement for Rehearsal-Free General Continual LearningGuanglong Sun, Hongwei Yan, Liyuan Wang … Yi ZhongICML
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  36. 2026PDF ↗
  37. 2026PDF ↗
  38. 2026
    Order parameters and phase transitions of continual learning in deep neural networksHaozhe Shan, Qianyi Li, Haim SompolinskyPNAS · Harvard University · Harvard University Press · +4
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  39. 2026PDF ↗
  40. 2026
    Improve Large Language Model Systems with User LogsChangyue Wang, Weihang Su, Qingyao Ai … Yiqun LiuarXiv
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  41. 2026
    Orthogonal Model MergingSihan Yang, Kexuan Shi, Zhifeng LiarXiv
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  42. 2026
    WAVE++: Capturing within-task variance for continual relation extraction with adaptive promptingBao-Ngoc Dao, Minh Le, Quang Nguyen … Linh Ngo VanNeurocomputing · Hanoi University of Science and Technology
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  43. 2026
    Shared LoRA Subspaces for almost Strict Continual LearningPrakhar Kaushik, Ankit Vaidya, Shravan Chaudhari … Alan L. YuillearXiv
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  44. 2026
    Attention Retention for Continual Learning with Vision TransformersYue Lu, Xiangyu Zhou, Shizhou Zhang … Wencong ZhangAAAI
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  45. 2026
    Bagging-Based Model Merging for Robust General Text EmbeddingsHengran Zhang, Keping Bi, Jiafeng Guo … Xueqi ChengarXiv
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  46. 2026PDF ↗
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  48. 2026
    Continual Learning through Control MinimizationSander de Haan, Yassine Taoudi-Benchekroun, Pau Vilimelis Aceituno, Benjamin F. GrewearXiv
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  49. 2026PDF ↗
  50. 2026
    Finding Structure in Continual LearningPourya Shamsolmoali, Masoumeh ZareapoorarXiv
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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.