Related work

The foundational work on continual learning, 1989 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

13 papers of 5,456Sort Recent · Most cited
  1. 2023PDF ↗
  2. 2023
    A Comprehensive Empirical Evaluation on Online Continual LearningAlbin Soutif--Cormerais, Antonio Carta, Andrea Cossu … Hamed HematiICCV · Computer Vision Center · University of Pisa · +2
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  3. 2023
    Continual Evidential Deep Learning for Out-of-Distribution DetectionEduardo Aguilar, Bogdan Raducanu, Petia Radeva, Joost van de WeijerICCV · Universidad Católica del Norte · Computer Vision Center
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  4. 2023
    ScrollNet: Dynamic Weight Importance for Continual LearningFei Yang, Kai Wang, Joost van de WeijerICCV · Computer Vision Center
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  5. 2023
    Augmented Box Replay: Overcoming Foreground Shift for Incremental Object DetectionYuyang Liu, Yang Cong, Dipam Goswami … Joost van de WeijerICCV · Shenyang Institute of Automation · Chinese Academy of Sciences · +4
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  6. 2023
    ICICLE: Interpretable Class Incremental Continual LearningDawid Rymarczyk, Joost van de Weijer, Bartosz Zieliński, Bartłomiej TwardowskiICCV · Jagiellonian University · Universitat Autònoma de Barcelona · +4
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  7. 2023
    FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual LearningDipam Goswami, Yuyang Liu, Bartłomiej Twardowski, Joost van de WeijerNeurIPS
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  8. 2023
    Improving Online Continual Learning Performance and Stability with Temporal EnsemblesAlbin Soutif--Cormerais, Antonio Carta, Joost van de WeijerCoLLAs
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  9. 2023
    Endpoints Weight Fusion for Class Incremental Semantic SegmentationJia–Wen Xiao, Chang–Bin Zhang, Jiekang Feng … Ming‐Ming ChengCVPR · Nankai University · Tianjin University
  10. 2023
    Density Map Distillation for Incremental Object CountingChenshen Wu, Joost van de WeijerCVPR · Barcelona Supercomputing Center · Computer Vision Center
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  11. 2023
    Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual LearningAntonio Carta, Andrea Cossu, Vincenzo Lomonaco … Joost van de WeijerNeurocomputing
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  12. 2023
    Towards Label-Efficient Incremental Learning: A SurveyMert Kilickaya, Joost van de Weijer, Yuki M. AsanoarXiv
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  13. 2023
    Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic SegmentationDipam Goswami, René Schuster, Joost van de Weijer, Didier StrickerWACV · German Research Centre for Artificial Intelligence · Birla Institute of Technology and Science, Pilani · +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 written by someone who has published there, or cited a few hundred times. 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.