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.

645 papers of 4,574 · showing 201–250Sort Recent · Most cited
  1. 2023
    An Intentional Forgetting-Driven Self-Healing Method for Deep Reinforcement Learning SystemsAhmed Haj Yahmed, Rached Bouchoucha, Houssem Ben Braiek, Foutse KhomhIEEE/ACM International Conference on Automated Software E… · Polytechnique Montréal
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  2. 2023
    Prompt Learning With Knowledge Memorizing Prototypes For Generalized Few-Shot Intent DetectionChaiyut Luoyiching, Yangning Li, Yinghui Li … Hanjing SuarXiv
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  3. 2023
    BioSLAM: A Bioinspired Lifelong Memory System for General Place RecognitionPeng Yin, Abulikemu Abuduweili, Shiqi Zhao … Sebastian SchererIEEE Transactions · City University of Hong Kong · Carnegie Mellon University
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  4. 2023
    Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental LearningIn-Ug Yoon, Tae-Min Choi, Sun-Kyung Lee … Jong-Hwan KimarXiv
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  5. 2023
    Simultaneous or Sequential Training? How Speech Representations Cooperate in a Multi-Task Self-Supervised Learning System*Khazar Khorrami, María Andrea Cruz Blandón, Tuomas Virtanen, Okko RäsänenEuropean Signal Processing Conference (EUSIPCO) · Tampere University
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  6. 2023
    Big-model Driven Few-shot Continual LearningZiqi Gu, Chunyan Xu, Zihan Lu … Zhen CuiarXiv
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  7. 2023
    New metrics for analyzing continual learnersNicolas Michel, Giovanni Chierchia, Romain Negrel … Toshihiko YamasakiarXiv · Laboratoire d'Informatique Gaspard-Monge · Université Gustave Eiffel
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  8. 2023
    Hierarchical growth in neural networks structure: Organizing inputs by Order of Hierarchical ComplexitySofia Leite, Bruno Mota, António Ramos Silva … Pedro Pereira RodriguesPLOS · Centre for Health Technology and Services Research · Universidade Federal do Rio de Janeiro · +5
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  9. 2023
    On-Device Learning with Binary Neural NetworksLorenzo Vorabbi, Davide Maltoni, Stefano SantiICIAP Workshops
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  10. 2023
    Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed AnalysisXiuwei Chen, Xiaobin ChangChinese Conference on Pattern Recognition and Computer Vi…
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  11. 2023
    Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model UpdatesMurat Onur Yildirim, Elif Ceren Gok Yildirim, Ghada Sokar … Joaquin VanschorenCPAL
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  12. 2023
    Federated Continual Learning for Socially Aware RoboticsLuke Guerdan, Hatice GüneşIEEE International Conference on Robot and Human Interact… · Carnegie Mellon University · University of Cambridge
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  13. 2023
    How Do Human Users Teach a Continual Learning Robot in Repeated Interactions?Ali Ayub, Jainish Mehta, Zachary De Francesco … Chrystopher L. NehanivIEEE International Conference on Robot and Human Interact… · University of Waterloo · University of Hertfordshire
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  14. 2023
    Universal Graph Continual LearningThanh D. Hoang, Do Viet Tung, Duy‐Hung Nguyen … Hung LêTMLR
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  15. 2023
    Online Attentive Kernel-Based Temporal Difference LearningXingguo Chen, Guang Yang, Shangdong Yang … Yang GaoKnowledge-Based Systems · Beijing Technology and Business University · Nanjing University of Posts and Telecommunications · +3
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  16. 2023
    Bio-inspired, task-free continual learning through activity regularizationFrancesco Lässig, Pau Vilimelis Aceituno, Martino Sorbaro, Benjamin F. GreweBiological Cybernetics · SIB Swiss Institute of Bioinformatics · University of Zurich · +2
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  17. 2023PDF ↗
  18. 2023
    Multi-Label Continual Learning Using Augmented Graph Convolutional NetworkKaile Du, Fan Lyu, Linyan Li … Hanjing ChengIEEE Trans. Multimedia · Suzhou University of Science and Technology · Southeast University · +2
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  19. 2023PDF ↗
  20. 2023
    Graph Relation Aware Continual LearningQinghua Shen, Weijieying Ren, Wei QinarXiv
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  21. 2023PDF ↗
  22. 2023
    OpenGCD: Assisting Open World Recognition with Generalized Category DiscoveryFulin Gao, Weimin Zhong, Zhixing Cao … Zhi LiarXiv
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  23. 2023
    Towards continually learning new languagesQuan Pham, Jan Niehues, Alex WaibelInterspeech
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  24. 2023PDF ↗
  25. 2023
    DeCoR: Defy Knowledge Forgetting by Predicting Earlier Audio CodesXilin Jiang, Yinghao Aaron Li, Nima MesgaraniInterspeech · Columbia University
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  26. 2023
    Self-Paced Weight Consolidation for Continual LearningWei Wei Cong, Yang Cong, Gan Sun … Jiahua DongIEEE TCSVT · Shenyang Institute of Automation · Chinese Academy of Sciences · +2
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  27. 2023
    Improving Performance in Continual Learning Tasks using Bio-Inspired ArchitecturesSandeep Madireddy, Ángel Yanguas-Gil, Prasanna BalaprakashCoLLAs
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  28. 2023
    NEOLAF, an LLM-powered neural-symbolic cognitive architectureRichard Jiarui Tong, Cao, Cassie Chen, Timothy Xueqian Lee … Yu LuarXiv
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  29. 2023
    Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio DetectionXiaohui Zhang, Jiangyan Yi, Jianhua Tao … Chuyuan ZhangICML
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  30. 2023
    Class Incremental Learning with Self-Supervised Pre-Training and Prototype LearningWenzhuo Liu, WU Xin-jian, Fei Zhu … Cheng‐Lin LiuPattern Recognition
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  31. 2023
    Task Relation-aware Continual User Representation LearningSein Kim, Namkyeong Lee, Donghyun Kim … Chanyoung ParkKDD · Korea Advanced Institute of Science and Technology · Naver (South Korea)
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  32. 2023PDF ↗
  33. 2023
    Efficient Model Adaptation for Continual Learning at the EdgeZachary Daniels, Jun Hu, Michael Lomnitz … David ZhangarXiv
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  34. 2023
    Training Data Protection with Compositional Diffusion ModelsAditya Golatkar, Alessandro Achille, Ashwin Swaminathan, Stefano SoattoarXiv
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  35. 2023PDF ↗
  36. 2023
    Survey on Online Streaming Continual LearningNuwan Gunasekara, Bernhard Pfahringer, Heitor Murilo Gomes, Albert BifetIJCAI · University of Waikato · Victoria University of Wellington · +2
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  37. 2023
    Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural NetworksBing Han, Feifei Zhao, Yi Zeng … Guobin ShenIJCAI · Chinese Academy of Sciences · Shandong Institute of Automation · +2
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  38. 2023
    Cognitively Inspired Learning of Incremental Drifting ConceptsMohammad Rostami, Aram GalstyanIJCAI · University of Southern California · California Southern University
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  39. 2023
    Subspace Distillation for Continual LearningKaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash HarandiNeural Networks
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  40. 2023
    L3DMC: Lifelong Learning using Distillation via Mixed-Curvature SpaceKaushik Roy, Peyman Moghadam, Mehrtash HarandiMICCAI
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  41. 2023
    CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in RoboticsAli Ayub, Alan R. WagnerIEEE TCDS · University of Waterloo · Concordia University · +1
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  42. 2023PDF ↗
  43. 2023
    XLDA: Linear Discriminant Analysis for Scaling Continual Learning to Extreme Classification at the EdgeKaran Shah, Vishruth Veerendranath, Anushka Hebbar, Raghavendra BhatarXiv
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  44. 2023
    A Definition of Continual Reinforcement LearningDavid Abel, André Barreto, Benjamin Van Roy … Satinder SinghNeurIPS
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  45. 2023
    Continual Learning on Dynamic Graphs via Parameter IsolationPeiyan Zhang, Yuchen Yan, Chaozhuo Li … Sunghun KimSIGIR · Hong Kong University of Science and Technology · Peking University · +3
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  46. 2023PDF ↗
  47. 2023
    Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural NetworksDominik Schnaus, Jong‐Seok Lee, Daniel Cremers, Rudolph TriebelICML
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  48. 2023
    Few-Shot Class-Incremental Semantic Segmentation via Pseudo-Labeling and Knowledge DistillationChengjia Jiang, Tao Wang, Sien Li … Antonios AntoniouInternational Conference on Information Science, Parallel… · Minjiang University · Wuyi University · +2
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  49. 2023
    Embodied Lifelong Learning for Task and Motion PlanningJorge A. Mendez, Leslie Pack Kaelbling, Tomás Lozano‐PérezCoRL
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  50. 2023
    The complexity of non-stationary reinforcement learningChristos H. Papadimitriou, Binghui PengInternational Conference on Algorithmic Learning Theory
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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.