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.

960 papers of 4,574 · showing 451–500Sort Recent · Most cited
  1. 2025
    ProtoDepth: Unsupervised Continual Depth Completion with PrototypesPatrick Rim, Hyoungseob Park, Soumik Gangopadhyay … Alex WongCVPR
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  2. 2025
    Beyond Background Shift: Rethinking Instance Replay in Continual Semantic SegmentationHongmei Yin, Tingliang Feng, Fan Lyu … Liang WanCVPR · Tianjin University · Institute of Automation
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  3. 2025
    Dynamic Integration of Task-Specific Adapters for Class Incremental LearningJiashuo Li, Shaokun Wang, Bo Qian … Yihong GongCVPR · Xi'an Jiaotong University
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  4. 2025
    CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental SegmentationKai Fang, Anqi Zhang, Guangyu Gao … Yunchao WeiCVPR · Beijing Institute of Technology · University of Birmingham · +1
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  5. 2025PDF ↗
  6. 2025
    Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity GroupingGuangda Lai, Yujie Li, Xiangkun Wang … Xin YangCVPR · Southwestern University of Finance and Economics · Southwest Jiaotong University
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  7. 2025
    Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of DiscretizationSihao Liu, Yibo Yang, Xiaojie Li … Bernard GhanemCVPR · Harbin Institute of Technology · King Abdullah University of Science and Technology · +1
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  8. 2025
    Do Your Best and Get Enough Rest for Continual LearningHankyul Kang, Gregor Seifer, Dong‐Hyun Lee, Jongbin RyuCVPR · Ajou University · Korea Advanced Institute of Science and Technology · +1
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  9. 2025
    Reducing Class-wise Confusion for Incremental Learning with Disentangled ManifoldsHuitong Chen, Yu Wang, Yan Fan … Qinghua HuCVPR · Tianjin University
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  10. 2025
    Online Task-Free Continual Learning via Dynamic Expansionable Memory DistributionFei Ye, Adrian G. BorşCVPR · University of Electronic Science and Technology of China · University of York
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  11. 2025
    Flashbacks to Harmonize Stability and Plasticity in Continual LearningLeila Mahmoodi, Peyman Moghadam, Munawar Hayat … Mehrtash HarandiNeural Networks · Monash University · Commonwealth Scientific and Industrial Research Organisation · +3
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  12. 2025
    H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution DetectionYuhang Liu, Wenjie Zhao, Yu GuoCVPR · University of Electronic Science and Technology of China
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  13. 2025
    Ferret: An Efficient Online Continual Learning Framework under Varying Memory ConstraintsYuhao Zhou, Yuxin Tian, Jindi Lv … Jiancheng LvCVPR · Sichuan University · National University of Singapore · +3
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  14. 2025
    T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental LearningSeong-Hyeon Hwang, Minsu Kim, Steven Euijong WhangCVPR · Korea Advanced Institute of Science and Technology · Kootenay Association for Science & Technology
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  15. 2025
    Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental LearningJuntae Lee, Munawar Hayat, Sungrack YunCVPR · Qualcomm (United Kingdom)
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  16. 2025
    Hyperbolic Dual Feature Augmentation for Open-EnvironmentPhilip L. H. Yu, Yuwei Wu, Zhi Gao … Yunde JiaarXiv
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  17. 2025
    Incremental Object Keypoint LearningMingfu Liang, Jiahuan Zhou, Xu Zou, Ying WuCVPR · Peking University · Huazhong University of Science and Technology
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  18. 2025PDF ↗
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  20. 2025
    SHIELD: Secure Hypernetworks for Incremental Expansion Learning DefensePatryk Krukowski, Łukasz Gorczyca, Peter A. van der Helm … Przemysław SpurekarXiv
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  21. 2025
    Training a Dynamic Growing Mixture Model for Lifelong LearningFei Ye, Adrian G. BorşTNNLS · University of Electronic Science and Technology of China · University of York
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  22. 2025
    Clo-HDnn: A 4.66 TLOPS/W and 3.78 TOPS/W Continual On-Device Learning Accelerator with Energy-Efficient Hyperdimensional Computing via Progressive SearchChang Eun Song, Weihong Xu, Keming Fan … Mingu KangSymposium on VLSI Technology and Circuits (VLSI Technolog… · University of California San Diego · Taiwan Semiconductor Manufacturing Company (Taiwan)
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  23. 2025
    Optimal Rates in Continual Linear Regression via Increasing RegularizationRan Levinstein, Amit Attia, Matan Schliserman … Itay EvronNeurIPS
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  24. 2025PDF ↗
  25. 2025
    MLLM-CL: Continual Learning for Multimodal Large Language ModelsHongbo Zhao, Fei Zhu, Meng Wang … Zhaoxiang ZhangarXiv
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  26. 2025PDF ↗
  27. 2025
    MoTE: Mixture of task-specific experts for pre-trained model-based Class-incremental learningLinjie Li, Zhenyu Wu, Yang JiKnowledge-Based Systems · Beijing University of Posts and Telecommunications · Ministry of Education
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  28. 2025PDF ↗
  29. 2025PDF ↗
  30. 2025
    Replay Can Provably Increase ForgettingYasaman Mahdaviyeh, James Lucas, Mengye Ren … Toniann PitassiarXiv
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  31. 2025
    Scaling CrossQ with Weight NormalizationDaniel Palenicek, Florian Vogt, Jan PetersarXiv
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  32. 2025
    The Future of Continual Learning in the Era of Foundation Models: Three Key DirectionsJack P. Bell, Luigi Quarantiello, E N Coleman … Vincenzo LomonacoHHAI Workshops
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  33. 2025PDF ↗
  34. 2025PDF ↗
  35. 2025
    Continual-MEGA: A Large-scale Benchmark for Generalizable Continual Anomaly DetectionGeonu Lee, Yujeong Oh, Geonhui Jang … Y. YooNeurocomputing
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  36. 2025
    Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing ChurnHongyao Tang, Johan Obando-Ceron, Pablo Samuel Castro … Glen BersethICML
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  37. 2025
    Enhancing Multimodal Continual Instruction Tuning with BranchLoRADuzhen Zhang, Yongcheng Ren, Zhongzhi Li … Bai, JinfengACL
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  38. 2025
    Continual Learning in Vision-Language Models via Aligned Model MergingGhada Sokar, Gintare Karolina Dziugaite, Anurag Arnab … Cordelia SchmidarXiv
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  39. 2025PDF ↗
  40. 2025
    Unlocking the Power of Rehearsal in Continual Learning: A Theoretical PerspectiveJunze Deng, Qiqi Wu, Peizhong Ju … Ness B. ShroffICML
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  41. 2025
    Rethinking Continual Learning with Progressive Neural CollapseZheng Wang, Wenhua Yu, Yang Li, Sen LinICLR
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  42. 2025PDF ↗
  43. 2025
    LADA: Scalable Label-Specific CLIP Adapter for Continual LearningLuo, Mao-Lin, Zihao Zhou, Wei Tong, Min-Ling ZhangICML
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  44. 2025PDF ↗
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  46. 2025PDF ↗
  47. 2025
    Completely Weakly Supervised Class-Incremental Learning for Semantic SegmentationDavid Minkwan Kim, Soeun Lee, Byeongkeun KangPattern Recognition Letters · Hanyang University · Anyang University · +1
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  48. 2025PDF ↗
  49. 2025PDF ↗
  50. 2025
    Continual Learning Beyond Experience Rehearsal and Full Model SurrogatesPrashant Bhat, Laurens Niesten, Elahe Arani, Bahram ZonoozarXiv
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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.