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 2251–2300Sort Recent · Most cited
  1. 2024
    Semi-supervised Open-World Object DetectionSahal Shaji Mullappilly, Abhishek Singh Gehlot, Rao Muhammad Anwer … Hisham CholakkalAAAI · Mohamed bin Zayed University of Artificial Intelligence · Linköping University
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  2. 2024
    Continual Relation Extraction via Sequential Multi-Task LearningThanh-Thien Le, Mạnh Hùng Nguyễn, Tung Nguyen … Thien Huu NguyenAAAI · VinUniversity · Hanoi University of Science and Technology · +2
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  3. 2024
    Non-exemplar Domain Incremental Object Detection via Learning Domain BiasXiang Song, Yuhang He, Songlin Dong, Yihong GongAAAI · Xi'an Jiaotong University
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  4. 2024
    Dynamic Sub-graph Distillation for Robust Semi-supervised Continual LearningYan Fan, Yu Wang, Pengfei Zhu, Qinghua HuAAAI · Tianjin University
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  5. 2024
    Learning Task-Aware Language-Image Representation for Class-Incremental Object DetectionHongquan Zhang, Bin-Bin Gao, Yi Zeng … Yuan XieAAAI · East China Normal University · Tencent (China) · +1
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  6. 2024
    M2SD: Multiple Mixing Self-Distillation for Few-Shot Class-Incremental LearningJinhao Lin, Ziheng Wu, Weifeng Lin … Ronghua LuoAAAI · Alibaba Group (China) · South China University of Technology · +1
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  7. 2024
    Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual LearningNicolas Michel, Giovanni Chierchia, Romain Negrel, Jean‐François BercherAAAI · Centre National de la Recherche Scientifique · Laboratoire d'Informatique Gaspard-Monge · +1
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  8. 2024
    Continual Vision-Language Retrieval via Dynamic Knowledge RectificationZhenyu Cui, Yuxin Peng, Xun Wang … Jiahuan ZhouAAAI · Peking University
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  9. 2024
    Live and Learn: Continual Action Clustering with Incremental ViewsXiaoqiang Yan, Yingtao Gan, Yiqiao Mao … Hui YuAAAI · Zhengzhou University · University of Portsmouth
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  10. 2024
    Adaptive Discovering and Merging for Incremental Novel Class DiscoveryGuangyao Chen, Peixi Peng, Yangru Huang … Yonghong TianAAAI · Peking University · Peng Cheng Laboratory
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  11. 2024
    TIKP: Text-to-Image Knowledge Preservation for Continual Semantic SegmentationZhidong Yu, Wei Yang, Xike Xie, Zhenbo ShiAAAI · University of Science and Technology of China · Suzhou University of Science and Technology
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  12. 2024
    Defying Imbalanced Forgetting in Class Incremental LearningXu Shi-xiong, Gaofeng Meng, Xing Nie … Shiming XiangAAAI · Chinese Academy of Sciences · Shandong Institute of Automation · +3
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  13. 2024PDF ↗
  14. 2024PDF ↗
  15. 2024
    Hypercorrelation Evolution for Video Class-Incremental LearningSen Liang, Kai Zhu, Wei Zhai … Yang CaoAAAI · University of Science and Technology of China
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  16. 2024
    SimCS: Simulation for Domain Incremental Online Continual SegmentationMotasem Alfarra, Zhipeng Cai, Adel Bibi … Matthias MüllerAAAI · Intel (United States) · King Abdullah University of Science and Technology · +1
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  17. 2024
    Task-Free Dynamic Sparse Vision Transformer for Continual LearningFei Ye, Adrian G. BorşAAAI · Mohamed bin Zayed University of Artificial Intelligence · University of York
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  18. 2024
    Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating PrototypeYanhe Liu, Peng Wang, Wenjun Ke … Ziyu ShangAAAI · Southeast University · Nanjing University of Finance and Economics
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  19. 2024
    Attacks on Continual Semantic Segmentation by Perturbing Incremental SamplesZhidong Yu, Wei Yang, Xike Xie, Zhenbo ShiAAAI · University of Science and Technology of China · Suzhou University of Science and Technology
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  20. 2024
    Continual Learning in an Open and Dynamic WorldYunhui GuoAAAI · The University of Texas at Dallas
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  21. 2024
    Exploring Domain Incremental Video Highlights Detection with the LiveFood BenchmarkSen Pei, Xu Shi-xiong, Xiaojie JinAAAI · Chinese Academy of Sciences
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  22. 2024
    Collaborative Learning across Heterogeneous Systems with Pre-Trained ModelsTrong Nghia HoangAAAI · Washington State University
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  23. 2024
    Exemplar-Free Class Incremental Learning via Incremental RepresentationLibo Huang, Zhulin An, Yan Zeng … Yongjun XuarXiv
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  24. 2024PDF ↗
  25. 2024
    Continual Vision-and-Language NavigationSeongjun Jeong, Gi-Cheon Kang, Seong-Ho Choi … Byoung‐Tak ZhangarXiv
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  26. 2024PDF ↗
  27. 2024
    A Bag of Tricks for Few-Shot Class-Incremental LearningShuvendu Roy, Chunjong Park, Aldi Fahrezi, Ali EtemadTMLR
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  28. 2024
    A Unified and General Framework for Continual LearningZhenyi Wang, Yan Li, Li Shen, Heng HuangICLR
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  29. 2024
    Confidence Self-Calibration for Multi-Label Class-Incremental LearningKaile Du, Yifan Zhou, Fan Lyu … Guangcan LiuECCV
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  30. 2024PDF ↗
  31. 2024PDF ↗
  32. 2024
    ECIL-MU: Embedding Based Class Incremental Learning and Machine UnlearningZhiwei Zuo, Zhuo Tang, Bin Wang … Anwitaman DattaICASSP · Hunan University · Nanyang Technological University
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  33. 2024
    Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training StrategyJunsu Kim, Sumin Hong, Chanwoo Kim … Seungryul BaekICASSP · Ulsan National Institute of Science and Technology · Seoul National University of Science and Technology · +3
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  34. 2024
    INCPrompt: Task-Aware Incremental Prompting for Rehearsal-Free Class-Incremental LearningZhiyuan Wang, Xiaoyang Qu, Jing Xiao … Jianzong WangICASSP · Tsinghua–Berkeley Shenzhen Institute · Shenzhen Technology University · +3
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  35. 2024PDF ↗
  36. 2024
    P2DT: Mitigating Forgetting in Task-Incremental Learning with Progressive Prompt Decision TransformerZhiyuan Wang, Xiaoyang Qu, Jing Xiao … Jianzong WangICASSP · Tsinghua–Berkeley Shenzhen Institute · Shenzhen Technology University · +3
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  37. 2024
    Generalizable Two-Branch Framework for Image Class-Incremental LearningChao Wu, Xiaobin Chang, Ruixuan WangICASSP · Sun Yat-sen University
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  38. 2024
    Learning a Low-Rank Feature Representation: Achieving Better Trade-Off Between Stability and Plasticity in Continual LearningZhenrong Liu, Yang Li, Yi Gong, Yik‐Chung WuICASSP · Southern University of Science and Technology · University of Hong Kong · +1
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  39. 2024
    FusDom: Combining in-Domain and Out-of-Domain Knowledge for Continuous Self-Supervised LearningAshish Seth, Sreyan Ghosh, S. Umesh, Dinesh ManochaICASSP · Indian Institute of Technology Madras · University of Maryland, College Park
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  40. 2024PDF ↗
  41. 2025
    GenOL: Generating Diverse Examples for Name-only Online LearningMinhyuk Seo, Seongwon Cho, Minjae Lee … Jonghyun ChoiTMLR
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  42. 2024
    Function-space Parameterization of Neural Networks for Sequential LearningAidan Scannell, Riccardo Mereu, Paul E. Chang … Arno SolinICLR
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  43. 2024PDF ↗
  44. 2024
    Towards Robustness and Diversity: Continual Learning in Dialog Generation with Text-Mixup and Batch Nuclear-Norm MaximizationZihan Wang, Jiayu Xiao, Mengxian Li … Shuang-Yong SongIEEE International Joint Conference on Neural Network
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  45. 2025
    Don't Half-listen: Capturing Key-part Information in Continual Instruction TuningYongquan He, Wenyuan Zhang, Xuancheng Huang … Cai, XunliangACL
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  46. 2024
    Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive PromptChenxi Liu, Zhenyi Wang, Tianyi Xiong … Heng HuangECCV
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  47. 2024PDF ↗
  48. 2025PDF ↗
  49. 2024PDF ↗
  50. 2024
    Simple and Scalable Strategies to Continually Pre-train Large Language ModelsAdam Ibrahim, Benjamin Therien, Kshitij Gupta … Irina RishTMLR
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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.