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.

793 papers of 4,574 · showing 101–150Sort Recent · Most cited
  1. 2024
    Large Pre-Training Datasets Don't Always Guarantee Robustness after Fine-TuningJaedong Hwang, Brian Cheung, Zhang-Wei Hong … Ila FietearXiv
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  2. 2024
    Vector Quantization Prompting for Continual LearningJiao Li, Qiuxia Lai, Yu Li, Qiang XuNeurIPS
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  3. 2024
    CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual LearningYu Feng, Zhen Tian, Yifan Zhu … Meina SongACM International Conference on Multimedia · Beijing University of Posts and Telecommunications
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  4. 2024
    Low-rank Prompt Interaction for Continual Vision-Language RetrievalW. B. Yan, Ye Wang, Lin Wang … Tao JinACM International Conference on Multimedia · Zhejiang University
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  5. 2024
    LLMs Can Evolve Continually on Modality for X-Modal ReasoningJiazuo Yu, Xiong, Haomiao, Pengfei Zhang … Long ChenNeurIPS
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  6. 2024
    Class Balance Matters to Active Class-Incremental LearningZhenhong Huang, Ze Chen, Yuanze Li … Wangmeng ZuoACM MM · Harbin Institute of Technology · Megvii (China) · +2
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  7. 2024
    Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual LearningLei Liu, Li Liu, Yawen CuiACM International Conference on Multimedia · Hong Kong University of Science and Technology · Shenzhen Research Institute of Big Data · +3
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  8. 2024
    Prompting Continual Person SearchPengcheng Zhang, Xiaohan Yu, Bai Xiao … Xin NingACM International Conference on Multimedia · Beihang University · Macquarie University · +2
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  9. 2024
    Sustainable Self-evolution Adversarial TrainingWenxuan Wang, Chenglei Wang, Huihui Qi … Yanning ZhangACM International Conference on Multimedia · Northwestern Polytechnical University
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  10. 2024
    Improving Multimodal Large Language Models Using Continual LearningShikhar Srivastava, Md Yousuf Harun, Robik Shrestha, Christopher KananarXiv
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  11. 2024
    PUMA: Efficient Continual Graph Learning for Node Classification With Graph CondensationYilun Liu, Ruihong Qiu, Yanran Tang … Zi HuangTKDE · The University of Queensland
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  12. 2024
    How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?Jiahua Dong, Wenqi Liang, Hongliu Li … Fahad Shahbaz KhanNeurIPS
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  13. 2024PDF ↗
  14. 2024
    UnCLe: Benchmarking Unsupervised Continual Learning for Depth CompletionXien Chen, Gangopadhyay, Rit, Michael Chu … Alex WongarXiv
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  15. 2024
    Continual Learning on a Data DietElif Ceren Gok Yildirim, Murat Onur Yildirim, Joaquin VanschorenarXiv
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  16. 2024
    Long Term Memory: The Foundation of AI Self-EvolutionXun Jiang, Feng Li, Han Zhao … Tianqiao ChenarXiv
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  17. 2024PDF ↗
  18. 2024
    TS-ACL: Closed-Form Solution for Time Series-oriented Continual LearningJiaxu Li, Kejia Fan, Songning Lai … Huiping ZhuangarXiv
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  19. 2024
    NC2D: Novel Class Discovery for Node ClassificationYue Hou, X. R. Chen, He Zhu … Ke XuCIKM · Beihang University · Communication University of China
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  20. 2024
    PIP: Prototypes-Injected Prompt for Federated Class Incremental LearningM. Anwar Ma’sum, Mahardhika Pratama, Savitha Ramasamy … Ryszard KowalczykCIKM · University of South Australia · Institute for Infocomm Research
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  21. 2024
    Hybrid Memory Replay: Blending Real and Distilled Data for Class Incremental LearningJiangtao Kong, Jiacheng Shi, Gao, Ashley … Huajie ShaoarXiv
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  22. 2024
    SNAP: Stopping Catastrophic Forgetting in Hebbian Learning with Sigmoidal Neuronal Adaptive PlasticityTianyi Xu, Zheng, Patrick, Shiyan Liu … Isabeau Prémont-SchwarzarXiv
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  23. 2024PDF ↗
  24. 2024
    Continual Learning in Machine Speech Chain Using Gradient Episodic MemoryGeoffrey S. Tyndall, Kurniawati Arizah, Dipta Tanaya … Sakriani SaktiConference of the Oriental COCOSDA International Committe… · University of Indonesia · Bandung Institute of Technology · +1
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  25. 2024
    Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer LearningL. Frati, Neil Traft, Jeff Clune, Nick CheneyFrontiers · University of Vermont · Canadian Institute for Advanced Research · +2
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  26. 2024
    Informed Spectral Normalized Gaussian Processes for Trajectory PredictionChristian Schlauch, Christian Wirth, Nadja KleinFrontiers · Continental (Germany) · Humboldt-Universität zu Berlin · +2
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  27. 2024
    Natural Mitigation of Catastrophic Interference: Continual Learning in Power-Law Learning EnvironmentsAtith Gandhi, Raj Sanjay Shah, Vijay Marupudi, Sashank VarmaFrontiers · Georgia Institute of Technology
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  28. 2024PDF ↗
  29. 2024PDF ↗
  30. 2024
    Open World Object Detection: A SurveyYiming Li, Yi Wang, Wenqian Wang … Kim–Hui YapIEEE TCSVT · Nanyang Technological University · Hong Kong Polytechnic University · +2
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  31. 2024PDF ↗
  32. 2024
    Is Parameter Collision Hindering Continual Learning in LLMs?Shuo Yang, Kun-Peng Ning, Yuyang Liu … Yuan LiCOLING
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  33. 2024
    Continual Domain RandomizationJosip Josifovski, Sayantan Auddy, Mohammadhossein Malmir … Nicolás Navarro-GuerreroIROS · Technical University of Munich · Universität Innsbruck · +1
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  34. 2024
    Continual Learning for Autonomous Robots: A Prototype-based ApproachElvin Hajizada, Balachandran Swaminathan, Yulia SandamirskayaIROS · Intel (Germany) · Pennsylvania State University · +1
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  35. 2024PDF ↗
  36. 2024
    Continual Learning Improves Zero-Shot Action RecognitionShreyank N Gowda, Davide Moltisanti, Laura Sevilla-LaraAsian Conference on Computer Vision
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  37. 2024
    Self-Data Distillation for Recovering Quality in Pruned Large Language ModelsVithursan Thangarasa, Venkatesh, Ganesh, Lasby, Mike … Sean LieConference on Machine Learning and Systems
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  38. 2024PDF ↗
  39. 2024
    Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-free AdaptorSahar Ahmadi, Ali Cheraghian, Morteza Saberi … Shafin RahmanAsian Conference on Computer Vision
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  40. 2024
    Lifelong Event Detection via Optimal TransportViet Dao, Van-Cuong Pham, Quyen Tran … Thien Huu NguyenEMNLP
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  41. 2024
    SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity MixtureJiayi Han, Liang Du, Hongwei Du … Donghong HanNAACL
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  42. 2024
    Continual Learning in the Frequency DomainRuiqi Liu, Boyu Diao, Libo Huang … Yongjun XuNeurIPS
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  43. 2024PDF ↗
  44. 2024
    Happy: A Debiased Learning Framework for Continual Generalized Category DiscoveryShi-Jie Ma, Fei Zhu, Zhun Zhong … Chenglin LiuNeurIPS
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  45. 2024
    Brain-inspired continual pre-trained learner via silent synaptic consolidationXuming Ran, Jiaqi Yao, Yusong Wang … Dianbo LiuarXiv
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  46. 2024PDF ↗
  47. 2024PDF ↗
  48. 2024
    Towards Personalized Federated Learning via Comprehensive Knowledge DistillationPengju Wang, Bochao Liu, Weijia Guo … Shiming GeIEEE International Conference on Systems, Man, and Cybern… · Chinese Academy of Sciences · Institute of Information Engineering
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  49. 2024
    Leveraging Hierarchical Taxonomies in Prompt-based Continual LearningQuyen Tran, Phan, Hoang, Minh Duc Le … Le Trung ThanharXiv
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  50. 2024
    Meta-learning for real-world class incremental learning: a transformer-based approachSandeep Kumar, Amit Sharma, Vikrant Shokeen … Zafar Iqbal KhanScientific Reports · Maharaja Surajmal Institute of Technology · Institute of Management Technology · +2
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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.