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.

93 papers of 4,574 · showing 1–50Sort Recent · Most cited
  1. 2024
    POET: Prompt Offset Tuning for Continual Human Action AdaptationPrachi Garg, K. Joseph, Vineeth N. Balasubramanian … Fernando de la TorreECCV
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  2. 2024
    PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental LearningHaiyang Guo, Fei Zhu, Wenzhuo Liu … Cheng‐Lin LiuECCV · Chinese Academy of Sciences · Shandong Institute of Automation · +2
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  3. 2024
    CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental LearningJin-Yong Oh, Sungyong Baik, Kyoung Mu LeeECCV · Seoul National University · Hanyang University
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  4. 2024
    UNIKD: UNcertainty-Filtered Incremental Knowledge Distillation for Neural Implicit RepresentationMengqi Guo, Li Chen, Hanlin Chen, Gim Hee LeeECCV · National University of Singapore
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  5. 2024
    MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality AssessmentKanglei Zhou, Liyuan Wang, Xingxing Zhang … Xiaohui LiangECCV · Durham University · Beihang University · +2
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  6. 2024
    Category Adaptation Meets Projected Distillation in Generalized Continual Category DiscoveryGrzegorz Rypeść, Daniel Marczak, Sebastian Cygert … Bartłomiej TwardowskiECCV · Warsaw University of Technology · Gdańsk University of Technology · +1
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  7. 2024
    Anytime Continual Learning for Open Vocabulary ClassificationZhen Zhu, Yiming Gong, Derek HoiemECCV · University of Illinois Urbana-Champaign
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  11. 2024
    Open-World Dynamic Prompt and Continual Visual Representation LearningYoungeun Kim, Jun Fang, Qin Zhang … Onkar DabeerECCV
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  12. 2024
    Latent Distillation for Continual Object Detection at the EdgeFrancesco Pasti, Marina Ceccon, Davide Dalle Pezze … Nicola BellottoECCV
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  14. 2024
    Online Continuous Generalized Category DiscoveryK. T. Park, Hakyung Lee, Kyungwoo Song, Gyeong-Moon ParkECCV
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  15. 2024
    Effective Prompt Pool Learning for Continual Category DiscoveryFernando Julio Cendra, Li, Xinghui, Kai HanECCV
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  16. 2024
    Flatness-aware Sequential Learning Generates Resilient BackdoorsHoang Pham, The-Anh Ta, Anh Tran, Khoa D. DoanECCV
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  22. 2024
    Mitigating Background Shift in Class-Incremental Semantic SegmentationPark, Gilhan, WonJun Moon, SuBeen Lee … Jae‐Pil HeoECCV
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  23. 2024
    CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised LearningErum Mushtaq, Duygu Nur Yaldiz, Yavuz Faruk Bakman … Salman AvestimehrECCV
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  24. 2024
    Quantized Prompt for Efficient Generalization of Vision-Language ModelsTianxiang Hao, Xiaohan Ding, Juexiao Feng … Guiguang DingECCV
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  29. 2024
    iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental LearningTom Fischer, Yaoyao Liu, Artur Jesslen … Eddy IlgECCV
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  30. 2024
    Exemplar-free Continual Representation Learning via Learnable Drift CompensationAlex Gomez-Villa, Dipam Goswami, Kai Wang … Joost van de WeijerECCV
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  31. 2024
    CLEO: Continual Learning of Evolving OntologiesShishir Muralidhara, Saqib Bukhari, Georg Schneider … René SchusterECCV
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  32. 2024
    Rethinking Few-shot Class-incremental Learning: Learning from YourselfYuming Tang, Yi-Xing Peng, Jingke Meng, Wei‐Shi ZhengECCV
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  33. 2024
    MagMax: Leveraging Model Merging for Seamless Continual LearningDaniel Marczak, Bartłomiej Twardowski, T. P. Trzcinski, Sebastian CygertECCV
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  36. 2024
    Diffusion Soup: Model Merging for Text-to-Image Diffusion ModelsBenjamin Biggs, Arjun Seshadri, Yang Zou … Stefano SoattoECCV
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  39. 2024
    Confidence Self-Calibration for Multi-Label Class-Incremental LearningKaile Du, Yifan Zhou, Fan Lyu … Guangcan LiuECCV
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  40. 2024
    Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive PromptChenxi Liu, Zhenyi Wang, Tianyi Xiong … Heng HuangECCV
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  42. 2024
    Semantic Residual Prompts for Continual LearningMartin Menabue, Emanuele Frascaroli, Matteo Boschini … Simone CalderaraECCV
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  43. 2024
    DiffClass: Diffusion-Based Class Incremental LearningZichong Meng, Zhang Jie, Changdi Yang … Yanzhi WAngECCV
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  44. 2024
    One-stage Prompt-based Continual LearningYoungeun Kim, Yuhang Li, Priyadarshini PandaECCV
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  45. 2024
    Weighted Ensemble Models Are Strong Continual LearnersImad Eddine Marouf, Subhankar Roy, Enzo Tartaglione, Stéphane LathuilièreECCV · Télécom Paris · University of Trento
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  46. 2024
    Revisiting Supervision for Continual Representation LearningDaniel Marczak, Sebastian Cygert, T. P. Trzcinski, Bartłomiej TwardowskiECCV
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  47. 2024
    PromptFusion: Decoupling Stability and Plasticity for Continual LearningHao Chen, Zuxuan Wu, Xintong Han … Yu–Gang JiangECCV
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  48. 2022
    Generative Negative Text Replay for Continual Vision-Language PretrainingShipeng Yan, Lanqing Hong, Hang Xu … Xuming HeECCV
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  49. 2022
    Long-Tailed Class Incremental LearningXialei Liu, Yusong Hu, Xusheng Cao … Ming‐Ming ChengECCV
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  50. 2022PDF ↗
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.