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 2501–2550Sort Recent · Most cited
  1. 2025
    Metalearning Continual Learning AlgorithmsKazuki Irie, Róbert Csordás, Jürgen SchmidhuberTMLR
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  2. 2024
    Learning from One Continuous Video StreamJoão Carreira, Michael C. King, Viorica Pătrăucean … Andrew ZissermanCVPR
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  3. 2023
    Continual Learning for Image Segmentation With Dynamic QueryWeijia Wu, Yuzhong Zhao, Zhuang Li … Mike Zheng ShouIEEE TCSVT · Zhejiang University · University of Chinese Academy of Sciences · +2
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  4. 2023
    Directions of Curvature as an Explanation for Loss of PlasticityAlex Lewandowski, Haruto Tanaka, Dale Schuurmans, Marlos C. MachadoarXiv
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  5. 2023
    On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of CodeMartin Weyssow, Xin Zhou, Kisub Kim … Houari SahraouiACM Joint European Software Engineering Conference and Sy… · Université de Montréal · Singapore Management University
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  6. 2023
    Neuromorphic Incremental on-chip Learning with Hebbian Weight ConsolidationZifan Ning, Chaojin Chen, Xiang Cheng … Bo XuarXiv
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  7. 2023
    Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental LearningRuxiao Duan, Jieneng Chen, Adam Kortylewski … Yaoyao LiuarXiv
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  8. 2023
    Continual Learning with Low Rank AdaptationMartin Wistuba, Prabhu Teja Sivaprasad, Lukas Balles, Giovanni ZappellaarXiv
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  11. 2023PDF ↗
  12. 2023
    Gradient-Semantic Compensation for Incremental Semantic SegmentationWei Wei Cong, Yang Cong, Jiahua Dong … Henghui DingIEEE Trans. Multimedia · Shenyang Institute of Automation · Chinese Academy of Sciences · +3
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  13. 2024
    Learning in Deep Factor Graphs with Gaussian Belief PropagationSeth Nabarro, Mark van der Wilk, Andrew J. DavisonICML
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  14. 2023PDF ↗
  15. 2024
    Continual Learning of Diffusion Models with Generative DistillationSergi Masip, Pau Rodríguez, Tinne Tuytelaars, Gido M. van de VenCoLLAs
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  16. 2024
    Revisiting Supervision for Continual Representation LearningDaniel Marczak, Sebastian Cygert, T. P. Trzcinski, Bartłomiej TwardowskiECCV
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  17. 2023PDF ↗
  18. 2023
    CovarNav: Machine Unlearning via Model Inversion and Covariance NavigationAli Abbasi, Chayne Thrash, Elaheh Akbari … Soheil KolouriarXiv
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  19. 2024
    No One Left Behind: Real-World Federated Class-Incremental LearningJiahua Dong, Hongliu Li, Yang Cong … Luc Van GoolTPAMI · Shenyang Institute of Automation · Chinese Academy of Sciences · +3
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  20. 2024
    Continual Learning: Applications and the Road ForwardEli Verwimp, Rahaf Aljundi, Shai Ben-David … Gido M. van de VenTMLR
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  21. 2023
    Replay-enhanced Continual Reinforcement LearningTiantian Zhang, Kevin Shen, Zichuan Lin … Deheng YeTMLR
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  22. 2023
    What Can AutoML Do For Continual Learning?Mert Kilickaya, Joaquin VanschorenarXiv
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  23. 2023
    Towards interpretable-by-design deep learning algorithmsPlamen Angelov, Dmitry Kangin, Ziyang ZhangarXiv
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  24. 2024
    From Categories to Classifiers: Name-Only Continual Learning by Exploring the WebAmeya Prabhu, Hasan Abed Al Kader Hammoud, Ser-Nam Lim … Adel BibiCoLLAs
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  25. 2024
    One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual LearningDoyoung Kim, Susik Yoon, Dongmin Park … Jae-Gil LeeICML
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  26. 2023PDF ↗
  27. 2023
    Adaptively Integrated Knowledge Distillation and Prediction Uncertainty for Continual LearningKanghao Chen, Sijia Lin, Jianguo Zhang … Ruixuan WangChina Automation Congress (CAC) · Sun Yat-sen University · Southern University of Science and Technology
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  28. 2023
    Incorporating neuro-inspired adaptability for continual learning in artificial intelligenceLiyuan Wang, Xingxing Zhang, Qian Li … Yi ZhongNature Machine Intelligence · Chinese Institute for Brain Research · Center for Life Sciences · +2
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  29. 2023
    Design principles for lifelong learning AI acceleratorsDhireesha Kudithipudi, Anurag Daram, Abdullah M. Zyarah … Benjamin R. EpsteinNature Electronics · The University of Texas at San Antonio · Sandia National Laboratories · +6
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  30. 2023
    Online Continual Knowledge Learning for Language ModelsYuhao Wu, Tongjun Shi, Karthick Sharma … Shuhao ZhangarXiv
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  33. 2023
    Carpe diem: On the Evaluation of World Knowledge in Lifelong Language ModelsYujin Kim, Jaehong Yoon, Seonghyeon Ye … Yun, Se-youngNAACL
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  34. 2023
    Extending Multilingual Machine Translation through Imitation LearningWen‐Cheng Lai, Viktor Hangya, Shen, Yingli, Fraser, AlexanderarXiv
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  35. 2023PDF ↗
  36. 2023
    Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learningPaula Chen, Tingwei Meng, Zongren Zou … George Em KarniadakisConference on Learning for Dynamics & Control
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  37. 2023
    LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing PlatformsYoung D. Kwon, Jagmohan Chauhan, Hong Jia … Cecilia MascoloACM International Conference on Embedded Networked Sensor…
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  38. 2024
    Online Continual Learning via Logit Adjusted SoftmaxZhehao Huang, Tao Li, Chenhe Yuan … Xiaolin HuangTMLR
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  39. 2023
    Efficiently Adapting Pretrained Language Models To New LanguagesZoltan Csaki, Pian Pawakapan, Urmish Thakker, Qiantong XuarXiv
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  40. 2023PDF ↗
  41. 2023
    Continual Learning Under Language ShiftEvangelia Gogoulou, Timothée Lesort, Magnus Boman, Joakim NivreInternational Conference on Text, Speech and Dialogue
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  42. 2023
    Look-Ahead Selective Plasticity for Continual Learning of Visual TasksRouzbeh Meshkinnejad, Jie Mei, Daniel J. Lizotte, Yalda MohsenzadehUniReps
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  43. 2023
    Class-wise Classifier Design Capable of Continual Learning using Adaptive Resonance Theory-based Topological ClusteringNaoki Masuyama, Yusuke Nojima, Farhan Dawood, Zongying LiuApplied Sciences · Osaka Metropolitan University · Tokyo Metropolitan University · +3
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  44. 2023
    A Definition of Open-Ended Learning Problems for Goal-Conditioned AgentsOlivier Sigaud, Gianluca Baldassarre, Cédric Colas … Vieri Giuliano SantucciarXiv · Sorbonne Université · Institut Systèmes Intelligents et de Robotique · +5
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  45. 2023PDF ↗
  46. 2023
    Class Incremental Learning with Pre-trained Vision-Language ModelsXialei Liu, Xusheng Cao, Haori Lu … Ming‐Ming ChengarXiv
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  47. 2023
    Constructing Sample-to-Class Graph for Few-Shot Class-Incremental LearningFuyuan Hu, Jian Zhang, Fan Lyu … Fenglei XuarXiv
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  48. 2023
    NPCL: Neural Processes for Uncertainty-Aware Continual LearningSaurav Jha, Dong Gong, He Zhao, Lina YaoNeurIPS
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  49. 2023
    Fast Trainable Projection for Robust Fine-TuningJunjiao Tian, Yen‐Cheng Liu, Smith, James Seale, Zsolt KiraNeurIPS
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  50. 2023PDF ↗
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.