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.

48 papers of 4,574Sort Recent · Most cited
  1. 2026
    Incremental learning for audio classification with Hebbian Deep Neural NetworksRiccardo Casciotti, Francesco De Santis, Alberto Antonietti, Annamaria MesarosICASSP · Tampere University · Politecnico di Milano
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  2. 2026
    Inverse-Hessian Regularization for Continual Learning in ASRSteven Vander Eeckt, Hugo Van hammeICASSP · KU Leuven
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  3. 2026
    LDEPrompt: Layer-importance guided Dual Expandable Prompt Pool for Pre-trained Model-based Class-Incremental LearningLinjie Li, Zhenyu Wu, Huiyu Xiao, Jie YangICASSP · Beijing University of Posts and Telecommunications
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  4. 2026PDF ↗
  5. 2026
    FadeMem: Biologically-Inspired Forgetting for Efficient Agent MemoryLei Wei, Xiao Peng, Xu Dong … Bin WangICASSP
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  6. 2026
    FGGM: Fisher-Guided Gradient Masking for Continual LearningChao-Hong Tan, Qian Chen, Wen Wang … Jieping YeICASSP
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  7. 2026
    Analytic Incremental Learning For Sound Source Localization With Imbalance RectificationZexia Fan, Yu Lim Chen, Qiquan Zhang … Xinyuan QianICASSP
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  8. 2026PDF ↗
  9. 2025
    Bayesian Low-Rank Factorization for Robust Model AdaptationE. Ugan, Ngoc-Quan Pham, Alexander H. WaibelICASSP
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  10. 2025PDF ↗
  11. 2025
    Towards Robust Visual Continual Learning with Multi-Prototype SupervisionXi-Wei Liu, Yu-Long Li, Yi-Chen Li … Imran RazzakICASSP
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  12. 2025
    Cross-Modal Knowledge Distillation for Speech Large Language ModelsEnzhi Wang, Qicheng Li, Zhiyuan Tang, Yuhang JiaICASSP
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  13. 2025
    Class-Incremental Learning for Sound Event Localization and DetectionRuchi Pandey, Manjunath Mulimani, Archontis Politis, Annamaria MesarosICASSP · Tampere University
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  14. 2025
    Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient TuningX.R. Li, Weijieying Ren, Wei Qin … Richang HongICASSP · Pennsylvania State University · Hefei University of Technology · +1
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  15. 2025
    HDMoLE: Mixture of LoRA Experts with Hierarchical Routing and Dynamic Thresholds for Fine-Tuning LLM-based ASR ModelsBingshen Mu, Kun Wei, Qijie Shao … Lei XieICASSP · Northwestern Polytechnical University · Tencent (China)
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  16. 2025
    Dynamic Object Queries for Transformer-based Incremental Object DetectionJichuan Zhang, Wei Li, Shuang Cheng … Shengjin WangICASSP · Tsinghua University · Chinese Academy of Sciences
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  17. 2025
    Freeze and Learn: Continual Learning with Selective Freezing for Speech Deepfake DetectionDavide Salvi, Viola Negroni, Luca Bondi … Stefano TubaroICASSP · Politecnico di Milano · Robert Bosch (United States)
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  18. 2025
    IOR: Inversed Objects Replay for Incremental Object DetectionZijia An, Boyu Diao, Libo Huang … Yongjun XuICASSP · Chinese Academy of Sciences · Institute of Computing Technology
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  19. 2025
    Continuously Learning New Words in Automatic Speech RecognitionChristian Huber, Alexander WaibelICASSP · Karlsruhe Institute of Technology
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  20. 2025
    Controllable Forgetting Mechanism for Few-Shot Class-Incremental LearningKirill Paramonov, Mete Özay, Eunju Yang … Umberto MichieliICASSP · Samsung (United Kingdom) · Samsung (South Korea)
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  21. 2025
    Leveraging Pre-Trained Models for Multimodal Class-Incremental Learning under Adaptive FusionYukun Chen, Zihuan Qiu, Fanman Meng … Qingbo WuICASSP · University of Electronic Science and Technology of China
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  22. 2025
    Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual LearningZhongyi Zhou, Yaxin Peng, Pengxing Yi … Chaomin ShenICASSP · East China Normal University · Shanghai University
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  23. 2025
    ValSub: Subsampling Validation Data to Mitigate Forgetting during ASR PersonalizationHaaris Mehmood, Karthikeyan Saravanan, Pablo Peso Parada … Seokyeong JungICASSP · Samsung (United Kingdom) · Samsung (South Korea)
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  24. 2025PDF ↗
  25. 2025PDF ↗
  26. 2024
    ECIL-MU: Embedding Based Class Incremental Learning and Machine UnlearningZhiwei Zuo, Zhuo Tang, Bin Wang … Anwitaman DattaICASSP · Hunan University · Nanyang Technological University
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  27. 2024
    Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training StrategyJunsu Kim, Sumin Hong, Chanwoo Kim … Seungryul BaekICASSP · Ulsan National Institute of Science and Technology · Seoul National University of Science and Technology · +3
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  28. 2024
    INCPrompt: Task-Aware Incremental Prompting for Rehearsal-Free Class-Incremental LearningZhiyuan Wang, Xiaoyang Qu, Jing Xiao … Jianzong WangICASSP · Tsinghua–Berkeley Shenzhen Institute · Shenzhen Technology University · +3
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  29. 2024PDF ↗
  30. 2024
    P2DT: Mitigating Forgetting in Task-Incremental Learning with Progressive Prompt Decision TransformerZhiyuan Wang, Xiaoyang Qu, Jing Xiao … Jianzong WangICASSP · Tsinghua–Berkeley Shenzhen Institute · Shenzhen Technology University · +3
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  31. 2024
    Generalizable Two-Branch Framework for Image Class-Incremental LearningChao Wu, Xiaobin Chang, Ruixuan WangICASSP · Sun Yat-sen University
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  32. 2024
    Learning a Low-Rank Feature Representation: Achieving Better Trade-Off Between Stability and Plasticity in Continual LearningZhenrong Liu, Yang Li, Yi Gong, Yik‐Chung WuICASSP · Southern University of Science and Technology · University of Hong Kong · +1
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  33. 2024
    FusDom: Combining in-Domain and Out-of-Domain Knowledge for Continuous Self-Supervised LearningAshish Seth, Sreyan Ghosh, S. Umesh, Dinesh ManochaICASSP · Indian Institute of Technology Madras · University of Maryland, College Park
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  34. 2023PDF ↗
  35. 2023PDF ↗
  36. 2023
    Towards Adversarially Robust Continual LearningTao Bai, Chen Chen, Lingjuan Lyu … Bihan WenICASSP · Nanyang Technological University · Zhejiang University of Science and Technology · +2
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  37. 2023
    Continual Learning for On-Device Speech Recognition Using Disentangled ConformersAnuj Diwan, Ching-Feng Yeh, Wei-Ning Hsu … Abdelrahman MohamedICASSP · The University of Texas at Austin
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  38. 2023
    Centroid Distance Distillation for Effective Rehearsal in Continual LearningDaofeng Liu, Fan Lyu, Linyan Li … Fuyuan HuICASSP · Suzhou University of Science and Technology · Tianjin University · +1
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  39. 2023
    Federated Self-Learning with Weak Supervision for Speech RecognitionMilind Rao, Gopinath Chennupati, Gautam Tiwari … Jasha DroppoICASSP · Amazon (United States)
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  40. 2023
    Is Multi-Task Learning an Upper Bound for Continual Learning?Zihao Wu, Huy Tran, Hamed Pirsiavash, Soheil KolouriICASSP · Vanderbilt University · University of California, Davis
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  41. 2023
    Robustness-Preserving Lifelong Learning Via Dataset CondensationJinghan Jia, Yihua Zhang, Dogyoon Song … Alfred O. HeroICASSP · Michigan State University · University of Michigan
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  42. 2023
    Dynamic Scalable Self-Attention Ensemble for Task-Free Continual LearningFei Ye, Adrian G. BorşICASSP · University of York
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  43. 2023
    Biologically-Inspired Continual Learning of Human Motion SequencesJ. C. Ott, Shih‐Chii LiuICASSP · SIB Swiss Institute of Bioinformatics · University of Zurich · +1
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  44. 2023PDF ↗
  45. 2022
    An Adapter Based Pre-Training for Efficient and Scalable Self-Supervised Speech Representation LearningSamuel Kessler, Bethan Thomas, Salah KaroutICASSP · University of Oxford · Huawei Technologies (United Kingdom)
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  46. 2022
    Progressive Continual Learning for Spoken Keyword SpottingYizheng Huang, Nana Hou, Nancy F. ChenICASSP · Agency for Science, Technology and Research · Institute for Infocomm Research · +1
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  47. 2022
    Towards Lifelong Learning of Multilingual Text-to-Speech SynthesisMu Yang, Shaojin Ding, Tianlong Chen … Zhangyang WangICASSP · The University of Texas at Dallas · Texas A&M University · +2
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  48. 2022PDF ↗
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.