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.

19 papers of 4,574Sort Recent · Most cited
  1. 2021
    Co2L: Contrastive Continual LearningHyuntak Cha, Jaeho Lee, Jinwoo ShinICCV · Korea Advanced Institute of Science and Technology
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  2. 2021PDF ↗
  3. 2021
    SS-IL: Separated Softmax for Incremental LearningHongjoon Ahn, Jihwan Kwak, Subin Lim … Taesup MoonICCV · Sungkyunkwan University · Seoul National University
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  4. 2021
    Always Be Dreaming: A New Approach for Data-Free Class-Incremental LearningJames Smith, Yen-Chang Hsu, Jonathan Balloch … Zsolt KiraICCV · Georgia Institute of Technology · Samsung (United States) · +1
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  5. 2021
    RECALL: Replay-based Continual Learning in Semantic SegmentationAndrea Maracani, Umberto Michieli, Marco Toldo, Pietro ZanuttighICCV · University of Padua
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  6. 2021
    Rehearsal revealed: The limits and merits of revisiting samples in continual learningEli Verwimp, Matthias De Lange, Tinne TuytelaarsICCV · KU Leuven
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  7. 2021
    Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual DataZhipeng Cai, Ozan Şener, Vladlen KoltunICCV · Intel (United States)
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  8. 2021
    Deep Metric Learning for Open World Semantic SegmentationJun Cen, Yun Peng, Junhao Cai … Ming LiuICCV · Hong Kong University of Science and Technology · Sun Yat-sen University
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  9. 2021
    Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of SubspacesAli Cheraghian, Shafin Rahman, Sameera Ramasinghe … Mehrtash HarandiICCV · Australian National University · Data61 · +2
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  10. 2021
    Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without ForgettingAnna Kukleva, Hilde Kuehne, Bernt SchieleICCV · Max Planck Society · Max Planck Innovation · +4
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  11. 2021
    Wanderlust: Online Continual Object Detection in the Real WorldJianren Wang, Xin Wang, Yue Shang-Guan, Abhinav GuptaICCV · Carnegie Mellon University · Microsoft Research (United Kingdom) · +1
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  12. 2021
    Class-Incremental Learning for Action Recognition in VideosJaeyoo Park, Minsoo Kang, Bohyung HanICCV · Seoul National University
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  13. 2021
    Continual Learning on Noisy Data Streams via Self-Purified ReplayChris Dongjoo Kim, Jinseo Jeong, Sangwoo Moon, Gunhee KimICCV · Seoul National University
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  14. 2021
    Online Continual Learning For Visual Food ClassificationJiangpeng He, Fengqing ZhuICCV · Purdue University West Lafayette
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  15. 2021
    Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential ObservationsZike Yan, Yuxin Tian, Xuesong Shi … Hongbin ZhaICCV · King University · Peking University · +1
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  16. 2021
    Few-Shot and Continual Learning with Attentive Independent MechanismsEugene Lee, Cheng‐Han Huang, Chen‐Yi LeeICCV · National Yang Ming Chiao Tung University
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  17. 2021
    Continual Learning for Image-Based Camera LocalizationShuzhe Wang, Zakaria Laskar, Iaroslav Melekhov … Juho KannalaICCV · Aalto University · Kaneka (United States)
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  18. 2021PDF ↗
  19. 2021PDF ↗
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.