Related work

The foundational work on continual learning, 1988 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

51 papers of 6,984 · showing 1–50Sort Recent · Most cited
  1. 2026
    Modular Memory is the Key to Continual Learning AgentsVaggelis Dorovatas, Malte Schwerin, Andrew D. Bagdanov … Rahaf AljundiarXiv
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  2. 2026
    Revisiting Weight Regularization for Low-Rank Continual LearningYaoyue Zheng, Yin Zhang, Joost van de Weijer … Zhiqiang TianICLR
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  3. 2026
    Deep Continual Learning in the Foundation Model Era (Dagstuhl Seminar 25432)Christopher Kanan, Martin Mundt, Tinne Tuytelaars … Timm Felix HessDagstuhl reports · University of Rochester · University of Bremen · +2
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  4. 2025
    Ask and Remember: A Questions-Only Replay Strategy for Continual Visual Question AnsweringImad Eddine Marouf, Enzo Tartaglione, Stéphane Lathuilière, Joost van de WeijerICCV · Laboratoire Traitement et Communication de l’Information · Universitat de Barcelona
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  5. 2025PDF ↗
  6. 2025
    Addressing The Devastating Effects Of Single-Task Data Poisoning In Exemplar-Free Continual LearningStanisław Pawlak, Bartłomiej Twardowski, T. P. Trzcinski, Joost van de WeijerarXiv · Warsaw University of Technology · Universitat Autònoma de Barcelona · +1
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  7. 2025
    Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding ModelsDipam Goswami, Liying Wang, Bartłomiej Twardowski, Joost van de WeijerarXiv
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  8. 2022
    Exemplar-Free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift CompensationMarco Cotogni, Fei Yang, Claudio Cusano … Joost van de WeijerIJCV · University of Pavia · BGI Group (China) · +4
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  9. 2025
    Replay-free Online Continual Learning with Self-Supervised MultiPatchesGiacomo Cignoni, Andrea Cossu, Alex Gomez-Villa … Antonio CartaThe European Symposium on Artificial Neural Networks
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  10. 2024PDF ↗
  11. 2024
    Exemplar-free Continual Representation Learning via Learnable Drift CompensationAlex Gomez-Villa, Dipam Goswami, Kai Wang … Joost van de WeijerECCV
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  12. 2024PDF ↗
  13. 2024
    The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous TasksSandesh Kamath, Albin Soutif--Cormerais, Joost van de Weijer, Bogdan RaducanuCVPR
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  14. 2024
    Resurrecting Old Classes with New Data for Exemplar-Free Continual LearningDipam Goswami, Albin Soutif--Cormerais, Yuyang Liu … Joost van de WeijerCVPR · University of Chinese Academy of Sciences
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  15. 2024
    An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank UpdatesAlbin Soutif--Cormerais, Simone Magistri, Joost van de Weijer, Andew D. BagdanovCoLLAs
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  16. 2025
    Improving Continual Learning Performance and Efficiency with Auxiliary ClassifiersFilip Szatkowski, Zheng, Yaoyue, Fei Yang … Joost van de WeijerICML
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  17. 2024
    Elastic Feature Consolidation for Cold Start Exemplar-free Incremental LearningSimone Magistri, Tomaso Trinci, Albin Soutif--Cormerais … Andrew D. BagdanovICLR
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  18. 2024
    Plasticity-Optimized Complementary Networks for Unsupervised Continual LearningAlex Gomez-Villa, Bartłomiej Twardowski, Kai Wang, Joost van de WeijerWACV · Universitat Autònoma de Barcelona · Barcelona Supercomputing Center · +1
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  19. 2024
    Continual Learning: Applications and the Road ForwardEli Verwimp, Rahaf Aljundi, Shai Ben-David … Gido M. van de VenTMLR
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  20. 2023PDF ↗
  21. 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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  22. 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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  23. 2023
    ScrollNet: Dynamic Weight Importance for Continual LearningFei Yang, Kai Wang, Joost van de WeijerICCV · Computer Vision Center
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  24. 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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  25. 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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  26. 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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  27. 2023
    Improving Online Continual Learning Performance and Stability with Temporal EnsemblesAlbin Soutif--Cormerais, Antonio Carta, Joost van de WeijerCoLLAs
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  28. 2023
    Endpoints Weight Fusion for Class Incremental Semantic SegmentationJia–Wen Xiao, Chang–Bin Zhang, Jiekang Feng … Ming‐Ming ChengCVPR · Nankai University · Tianjin University
  29. 2023
    Density Map Distillation for Incremental Object CountingChenshen Wu, Joost van de WeijerCVPR · Barcelona Supercomputing Center · Computer Vision Center
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  30. 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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  31. 2023
    Towards Label-Efficient Incremental Learning: A SurveyMert Kilickaya, Joost van de Weijer, Yuki M. AsanoarXiv
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  32. 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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  33. 2020
    Class-Incremental Learning: Survey and Performance Evaluation on Image ClassificationMarc Masana, Xialei Liu, Bartłomiej Twardowski … Joost van de WeijerTPAMI · Computer Vision Center
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  34. 2022
    Continually Learning Self-Supervised Representations with Projected Functional RegularizationAlex Gomez-Villa, Bartłomiej Twardowski, Yu Lu … Joost van de WeijerCVPR · Universitat Autònoma de Barcelona · Tianjin University of Technology · +1
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  35. 2022
    Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight RegularizationFrancesco Pelosin, Saurav Jha, Andrea Torsello … Joost van de WeijerCVPR · Ca' Foscari University of Venice · UNSW Sydney · +2
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  36. 2020
    Self-Training for Class-Incremental Semantic SegmentationLu Yu, Xialei Liu, Joost van de WeijerTNNLS · Tianjin University of Technology · Nankai University · +1
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  37. 2022
  38. 2021
    ACAE-REMIND for Online Continual Learning with Compressed Feature ReplayKai Wang, Joost van de Weijer, Luis HerranzPattern Recognition Letters · Universitat Autònoma de Barcelona · Computer Vision Center
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  39. 2021
    On the importance of cross-task features for class-incremental learningAlbin Soutif--Cormerais, Marc Masana, Joost van de Weijer, Bartłomiej TwardowskiarXiv
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  40. 2021
    Avalanche: an End-to-End Library for Continual LearningVincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu … Davide MaltoniCVPR · University of Pisa · University of Bologna · +12
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  41. 2021
    Ternary Feature Masks: zero-forgetting for task-incremental learningMarc Masana, Tinne Tuytelaars, Joost van de WeijerCVPR · Universitat Autònoma de Barcelona · Barcelona Supercomputing Center · +2
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  42. 2021
    Continual learning in cross-modal retrievalKai Wang, Luis Herranz, Joost van de WeijerCVPR · Universitat Autònoma de Barcelona
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  43. 2021
    HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined ClassificationKai Wang, Xialei Liu, Luis Herranz, Joost van de WeijerBMVC · Universitat Autònoma de Barcelona · Nankai University
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  44. 2020
    RATT: Recurrent Attention to Transient Tasks for Continual Image CaptioningRiccardo Del Chiaro, Bartłomiej Twardowski, Andrew D. Bagdanov, Joost van de WeijerNeurIPS
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  45. 2020
    Disentanglement of Color and Shape Representations for Continual LearningDavid Berga, Marc Masana, Joost van de WeijerarXiv
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  46. 2020
    On Class Orderings for Incremental LearningMarc Masana, Bartłomiej Twardowski, Joost van de WeijerarXiv
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  47. 2020
    Bookworm continual learning: beyond zero-shot learning and continual learningKai Wang, Luis Herranz, Anjan Dutta, Joost van de WeijerarXiv · Universitat Autònoma de Barcelona
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  48. 2020
    Semantic Drift Compensation for Class-Incremental LearningLu Yu, Bartłomiej Twardowski, Xialei Liu … Joost van de WeijerCVPR · Universitat Autònoma de Barcelona · Northwestern Polytechnical University · +1
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  49. 2020
    Generative Feature Replay For Class-Incremental LearningXialei Liu, Chenshen Wu, Mikel Menta … Joost van de WeijerCVPR · Universitat Autònoma de Barcelona · University of Florence · +1
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  50. 2020
    Ternary Feature Masks: continual learning without any forgettingMarc Masana, T. Tuytelaars, Joost van de WeijerarXiv
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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. 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.