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 2801–2850Sort Recent · Most cited
  1. 2023
    Class-Incremental Learning based on Label GenerationYijia Shao, Yiduo Guo, Dongyan Zhao, Bing LiuACL
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  2. 2023
    Continual Learners are Incremental Model GeneralizersJaehong Yoon, Sung Ju Hwang, Yue CaoICML
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  3. 2023PDF ↗
  4. 2023PDF ↗
  5. 2024
    Progressive Fourier Neural Representation for Sequential Video CompilationHaeyong Kang, Jaehong Yoon, DaHyun Kim … Chang D. YooICLR
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  6. 2023PDF ↗
  7. 2023
    Partial Hypernetworks for Continual LearningHamed Hemati, Vincenzo Lomonaco, Davide Bacciu, Damian BorthCoLLAs
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  8. 2023
    Knowledge Transfer-Driven Few-Shot Class-Incremental LearningYe Wang, Yaxiong Wang, Guoshuai Zhao, Xueming QianarXiv
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  9. 2023
    IF2Net: Innately Forgetting-Free Networks for Continual LearningD. Li, Tianqi Wang, Bingrong Xu … Ponnuthurai Nagaratnam SuganthanarXiv
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  10. 2023
    Continual Learning with Pretrained Backbones by Tuning in the Input SpaceSimone Marullo, Matteo Tiezzi, Marco Gori … Tinne TuytelaarsIJCNN · University of Siena · University of Florence · +1
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  11. 2023
    Toward industrial use of continual learning: new metrics proposal for class incremental learningM. Konaté, Anne-Françoise Yao, T. Chateau, P. BougesIEEE International Joint Conference on Neural Network
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  12. 2024
    Continual Adaptation of Vision Transformers for Federated LearningShaunak Halbe, Smith, James Seale, Junjiao Tian, Zsolt KiraTMLR
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  13. 2023
    Studying Generalization on Memory-Based Methods in Continual LearningFelipe del Rio, Julio Hurtado, Cristian Buc … Vincenzo LomonacoarXiv
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  14. 2023PDF ↗
  15. 2024
    Kalman Filter for Online Classification of Non-Stationary DataMichalis K. Titsias, Alexandre Galashov, Amal Rannen-Triki … Jörg BornscheinICLR
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  16. 2023
    POP: Prompt Of Prompts for Continual LearningZhiyuan Hu, Jiancheng Lyu, Dashan Gao, Nuno VasconcelosarXiv
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  17. 2024
    Efficient Bayesian Policy Reuse With a Scalable Observation Model in Deep Reinforcement LearningJinmei Liu, Zhi Wang, Chunlin Chen, Daoyi DongTNNLS · Nanjing University · University of Canberra · +1
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  18. 2023
    Dynamically Masked Discriminator for Generative Adversarial NetworksWentian Zhang, Haozhe Liu, Bing Li … Bernard GhanemarXiv
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  19. 2023
    A Protocol for Continual Explanation of SHAPAndrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide BacciuThe European Symposium on Artificial Neural Networks
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  20. 2023PDF ↗
  21. 2024
    A Probabilistic Framework for Modular Continual LearningLazar Valkov, Akash Srivastava, Swarat Chaudhuri, Charles SuttonICLR
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  22. 2023
    Synaptic metaplasticity with multi-level memristive devicesS. D’Agostino, Filippo Moro, Tifenn Hirtzlin … Elisa VianelloInternational Conference on Artificial Intelligence Circu… · Commissariat à l'Énergie Atomique et aux Énergies Alternatives · Laboratoire d'Électronique des Technologies de l'Information · +4
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  23. 2024PDF ↗
  24. 2023
    CCL: Continual Contrastive Learning for LiDAR Place RecognitionJiafeng Cui, Xieyuanli ChenRA-L · National University of Defense Technology
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  25. 2024PDF ↗
  26. 2024
    ViDA: Homeostatic Visual Domain Adapter for Continual Test Time AdaptationJiaming Liu, Senqiao Yang, Peidong Jia … Shanghang ZhangICLR
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  27. 2024
    Dynamics-Adaptive Continual Reinforcement Learning via Progressive ContextualizationTiantian Zhang, Zichuan Lin, Yuxing Wang … Xiu LiTNNLS · Tencent (China) · Tsinghua University · +1
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  28. 2023
    ModuleFormer: Modularity Emerges from Mixture-of-ExpertsYikang Shen, Zheyu Zhang, Tianyou Cao … Chuang GanarXiv
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  29. 2023
    Continual Learning in Linear Classification on Separable DataItay Evron, Edward Moroshko, Gon Buzaglo … Daniel SoudryICML
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  30. 2023
    Memory-Based Dual Gaussian Processes for Sequential LearningPaul E. Chang, Prakhar Verma, St. John … Mohammad Emtiyaz KhanICML
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  31. 2024
    Masked Autoencoders are Efficient Continual Federated LearnersSubarnaduti Paul, Lars-Joel Frey, Roshni Kamath … Martin MundtCoLLAs
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  32. 2023
    Putting Humans in the Image Captioning LoopAliki Anagnostopoulou, Mareike Hartmann, Daniel SonntagarXiv
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  33. 2023
    Towards Adaptable and Interactive Image Captioning with Data Augmentation and Episodic MemoryAliki Anagnostopoulou, Mareike Hartmann, Daniel SonntagSUSTAINLP
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  34. 2023PDF ↗
  35. 2023
    LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot LearningBo Liu, Yifeng Zhu, Chongkai Gao … Peter StoneNeurIPS
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  36. 2023
    Effects of Architectures on Continual Semantic SegmentationTobias Kalb, Niket Ahuja, Jingxing Zhou, Jürgen BeyererIEEE Intelligent Vehicles Symposium (IV) · Schreiner Group (Germany) · Karlsruhe Institute of Technology · +1
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  37. 2023PDF ↗
  38. 2023
    Evolving Knowledge Mining for Class Incremental SegmentationZhihe Lu, Shuicheng Yan, Xinchao WangarXiv
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  39. 2024
    Overcoming the Stability Gap in Continual LearningMd Yousuf Harun, Christopher KananTMLR
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  40. 2023PDF ↗
  41. 2023
    CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual LearningJames Seale Smith, Leonid Karlinsky, Vyshnavi Gutta … Zsolt KiraCVPR · Georgia Institute of Technology · IBM (United States) · +1
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  42. 2023
    EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled RegularizationJunha Song, Jungsoo Lee, In So Kweon, Sungha ChoiCVPR · Korea Advanced Institute of Science and Technology · Qualcomm (United Kingdom) · +1
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  43. 2023
    Continual Detection Transformer for Incremental Object DetectionYaoyao Liu, Bernt Schiele, Andrea Vedaldi, Christian RupprechtCVPR · Max Planck Institute for Informatics · University of Oxford
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  44. 2023
    Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental LearningZeyin Song, Yifan Zhao, Yujun Shi … Yonghong TianCVPR · Peking University · National University of Singapore · +1
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  45. 2023
    PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual LearningHuiwei Lin, Baoquan Zhang, Shanshan Feng … Yunming YeCVPR · Harbin Institute of Technology
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  46. 2023
    On the Stability-Plasticity Dilemma of Class-Incremental LearningDong-Wan Kim, Bohyung HanCVPR · Seoul National University
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  47. 2023
    Computationally Budgeted Continual Learning: What Does Matter?Ameya Prabhu, Hasan Abed Al Kader Hammoud, Puneet K. Dokania … Adel BibiCVPR · University of Oxford · King Abdullah University of Science and Technology
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  48. 2023
    A Closer Look at Rehearsal-Free Continual Learning *James Seale Smith, Junjiao Tian, Shaunak Halbe … Zsolt KiraCVPR · Georgia Institute of Technology · Samsung (United States) · +1
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  49. 2023
    Dense Network Expansion for Class Incremental LearningZhiyuan Hu, Yunsheng Li, Jiancheng Lyu … Nuno VasconcelosCVPR · UC San Diego Health System · Microsoft (Germany) · +1
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  50. 2023
    Class-Incremental Exemplar Compression for Class-Incremental LearningZilin Luo, Yaoyao Liu, Bernt Schiele, Qianru SunCVPR · Singapore Management University · Max Planck Institute for Informatics
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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.