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.

505 papers of 4,574 · showing 51–100Sort Recent · Most cited
  1. 2022
    Improving generalization to new environments and removing catastrophic forgetting in Reinforcement Learning by using an eco-system of agentsOlivier Moulin, Francois Vincent-Lavet, Paul Elbers, Mark HoogendoornIEEE/WIC/ACM International Joint Conference on Web Intell… · Vrije Universiteit Amsterdam
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  2. 2022
    Generative Negative Text Replay for Continual Vision-Language PretrainingShipeng Yan, Lanqing Hong, Hang Xu … Xuming HeECCV
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  3. 2022PDF ↗
  4. 2022PDF ↗
  5. 2022
    Balanced Softmax Cross-Entropy for Incremental LearningQuentin Jodelet, Xin Liu, Tsuyoshi MurataComputer Vision and Image Understanding · Tokyo Institute of Technology · National Institute of Advanced Industrial Science and Technology
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  6. 2022
    InCloud: Incremental Learning for Point Cloud Place RecognitionJoshua Knights, Peyman Moghadam, Milad Ramezani … Clinton FookesIROS · Commonwealth Scientific and Industrial Research Organisation · Queensland University of Technology · +2
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  7. 2022
    RECALL: Rehearsal-free Continual Learning for Object ClassificationMarkus Knauer, Maximilian Denninger, Rudolph TriebelIROS · Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) · Technical University of Munich
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  8. 2022
    Fast Hierarchical Learning for Few-Shot Object DetectionYihang She, Goutam Bhat, Martin Danelljan, Fisher YuIROS · ETH Zurich
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  9. 2022
    Experimentally validated memristive memory augmented neural network with efficient hashing and similarity searchRuibin Mao, Bo Wen, Arman Kazemi … Can LiNature Communications · University of Hong Kong · University of Notre Dame · +5
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  10. 2022
    RAIS: Robust and Accurate Interactive Segmentation via Continual LearningYuying Hao, Yi Liu, Juncai Peng … Baohua LaiarXiv
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  11. 2022PDF ↗
  12. 2022
    Continual Learning for Affective Robotics: A Proof of Concept for WellbeingNikhil Churamani, Minja Axelsson, Atahan Çaldır, Hatice GüneşInternational Conference on Affective Computing and Intel… · University of Cambridge · Özyeğin University
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  13. 2022
    Exemplar-Free Online Continual LearningJiangpeng He, Fengqing ZhuICIP · Purdue University West Lafayette
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  14. 2022
    Learning an Evolved Mixture Model for Task-Free Continual LearningFei Ye, Adrian G. BorşICIP · University of York
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  15. 2022
    Contrastive Learning for Online Semi-Supervised General Continual LearningNicolas Michel, Romain Negrel, Giovanni Chierchia, Jean‐François BercherICIP · Centre National de la Recherche Scientifique · Laboratoire d'Informatique Gaspard-Monge · +1
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  16. 2022PDF ↗
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  18. 2022PDF ↗
  19. 2022
    On the Effectiveness of Lipschitz-Driven Rehearsal in Continual LearningLorenzo Bonicelli, M. Boschini, Angelo Porrello … Simone CalderaraNeurIPS
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  20. 2022
    Decomposed Knowledge Distillation for Class-Incremental Semantic SegmentationDonghyeon Baek, Youngmin Oh, Sanghoon Lee … Bumsub HamNeurIPS
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  21. 2022PDF ↗
  22. 2022
    Federated Continual Learning for Text Classification via Selective Inter-client TransferYatin Chaudhary, Pranav Rai, Matthias Schubert … Pankaj GuptaEMNLP
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  23. 2022
    System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy GamesIndranil Sur, Zachary Daniels, Abrar Rahman … Aswin RaghavanInternational Conference on AI-ML-Systems · SRI International · American University · +3
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  24. 2022PDF ↗
  25. 2022
    Schedule-Robust Online Continual LearningRuohan Wang, Marco Ciccone, Giulia Luise … Carlo CilibertoarXiv
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  26. 2022PDF ↗
  27. 2022
    Continual Training of Language Models for Few-Shot LearningZixuan Ke, Haowei Lin, Yijia Shao … Bing LiuEMNLP
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  28. 2022PDF ↗
  29. 2022
    A Simple Baseline that Questions the Use of Pretrained-Models in Continual LearningPaul Janson, Wenxuan Zhang, Rahaf Aljundi, Mohamed ElhoseinyarXiv
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  30. 2022
    Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update and Hyper-class RepresentationGuangchen Shi, Yirui Wu, Jun Liu … Tong LüACM International Conference on Multimedia · Hohai University · Singapore University of Technology and Design · +3
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  31. 2022PDF ↗
  32. 2022
    Improving Continual Relation Extraction through Prototypical Contrastive LearningChengwei Hu, Deqing Yang, Haoliang Jin … Yanghua XiaoCOLING
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  33. 2022
    Class Gradient Projection For Continual LearningCheng Chen, Ji Zhang, Jingkuan Song, Lianli GaoACM International Conference on Multimedia · University of Electronic Science and Technology of China · Peng Cheng Laboratory
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  34. 2022
    A Memory Transformer Network for Incremental LearningAhmet İşcen, Thomas Bird, Mathilde Caron … Cordelia SchmidBMVC
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  35. 2022
    Few-Shot Continual Active Learning by a RobotAli Ayub, Carter FendleyNeurIPS
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  36. 2022
    Tracking changes using Kullback-Leibler divergence for the continual learningSebastián Basterrech, Michał WoźniakIEEE International Conference on Systems, Man, and Cybern… · VSB - Technical University of Ostrava · Wrocław University of Science and Technology · +1
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  37. 2022PDF ↗
  38. 2022
    Improving Replay-Based Continual Semantic Segmentation with Smart Data SelectionTobias Kalb, Bjorn Mauthe, Jürgen BeyererIEEE 25th International Conference on Intelligent Transpo… · Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
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  39. 2022
    Self-organized Learning from Synthetic and Real-World Data for a Humanoid Exercise RobotNicolas Duczek, Matthias Kerzel, Philipp Allgeuer, Stefan WermterFrontiers · Universität Hamburg
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  40. 2022
    CLIP model is an Efficient Continual LearnerVishal Thengane, Salman Khan, Munawar Hayat, Fahad Shahbaz KhanarXiv
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  41. 2022
    Weighted entropic associative memory and phonetic learningLuis A. Pineda, Rafael MoralesScientific Reports · Universidad Nacional Autónoma de México · Universidad de Guadalajara
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  42. 2022
    Topological Continual Learning with Wasserstein Distance and BarycenterTananun Songdechakraiwut, Xiaoshuang Yin, B.D. Van VeenarXiv
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  43. 2022
    ImpressLearn: Continual Learning via Combined Task ImpressionsDhrupad Bhardwaj, Julia Kempe, Artem Vysogorets … Evaristus C. EzekwemarXiv
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  44. 2022
    ConCS: A Continual Classifier System for Continual Learning of Multiple Boolean ProblemsTrung B. Nguyen, Will N. Browne, Mengjie ZhangIEEE Transactions · Victoria University of Wellington · Queensland University of Technology
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  45. 2022
    How Relevant is Selective Memory Population in Lifelong Language Learning?Vladimir Araujo, Helena Balabin, Julio Hurtado … Marie‐Francine MoensAACL
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  46. 2022
    Long-Tailed Class Incremental LearningXialei Liu, Yusong Hu, Xusheng Cao … Ming‐Ming ChengECCV
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  47. 2022
    Memory Bounds for Continual LearningXi Chen, Christos H. Papadimitriou, Binghui PengIEEE 63rd Annual Symposium on Foundations of Computer Sci… · Columbia University
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  48. 2022
    HyperHawkes: Hypernetwork based Neural Temporal Point ProcessManisha Dubey, P. K. Srijith, Maunendra Sankar DesarkararXiv
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  49. 2022
    Task Formulation Matters When Learning Continually: A Case Study in Visual Question AnsweringMavina Nikandrou, Yu Lu, Alessandro Suglia … Verena RieserarXiv
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  50. 2022
    Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A SurveyDanielle SaundersJournal of Artificial Intelligence Research · South Bend Museum of Art
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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.