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.

761 papers of 4,574 · showing 351–400Sort Recent · Most cited
  1. 2026
    Stabilizing LLM Supervised Fine-Tuning via Explicit Distributional ControlXinyu Wang, Changzhi Sun, Yuanbin Wu, Xiaoling WangarXiv
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  2. 2026PDF ↗
  3. 2026
    Memory-Efficient Continual Learning with CLIP ModelsRyan King, Gang Li, Bobak Mortazavi, Tianbao YangarXiv
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  4. 2026
    Sharpness-Aware Pretraining Mitigates Catastrophic ForgettingIshaan Watts, Catherine Li, Sachin Goyal … Aditi RaghunathanarXiv
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  5. 2026
    Elastic Multi-Gradient Descent for Parallel Continual LearningFan Lyu, Wei Feng, Yuepan Li … Liang WangTPAMI · Universitat Autònoma de Barcelona · Tianjin University · +2
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  6. 2026
    Sparse Memory Finetuning as a Low-Forgetting Alternative to LoRA and Full FinetuningPrakhar Gupta, Garv Shah, Satyam Goyal, Anirudh KanchiarXiv
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  11. 2026
    Scalable Expansion of Multilingual Speech LLMs for ASR: A Continual Learning ApproachLorenzo Concina, Marco Matassoni, Alessio BruttiLanguage Resources and Evaluation Conference · Fondazione Bruno Kessler
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  12. 2026
    Decouple before Integration: Test-time Synthesis of SFT and RLVR Task VectorsChaohao Yuan, Chenghao Xiao, Yu Rong … Long-Kai HuangarXiv
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  13. 2026
    Forager: a lightweight testbed for continual learning with partial observability in RLSteven Tang, Xinze Xiong, Anna Hakhverdyan … Adam WhitearXiv
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  16. 2026
    Learning to Forget: Continual Learning with Adaptive Weight DecayAditya A. Ramesh, Alex Lewandowski, Jürgen SchmidhuberarXiv
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  17. 2026
    NORACL: Neurogenesis for Oracle-free Resource-Adaptive Continual LearningKarthik Raghunathan, Christian Metzner, Laura Kriener, Melika PayvandarXiv
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  24. 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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  25. 2026
    Inverse-Hessian Regularization for Continual Learning in ASRSteven Vander Eeckt, Hugo Van hammeICASSP · KU Leuven
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  26. 2026PDF ↗
  27. 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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  28. 2026
    Revisiting Catastrophic Forgetting in Continual Knowledge Graph EmbeddingGerard Pons, Carlos Escolano, Besim Bilalli, Anna QueraltarXiv
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  29. 2026
    Safe Continual Reinforcement Learning in Non-stationary EnvironmentsAustin Coursey, Abel Diaz-Gonzalez, Marcos Quinones-Grueiro, Gautam BiswasarXiv
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  30. 2026
    EKPC: Elastic Knowledge Preservation and Compensation for Class-Incremental LearningHuaijie Wang, De Cheng, Lingfeng He … Xinbo GaoIJCV · Xidian University · Northwestern Polytechnical University
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  31. 2026
    IncreFA: Breaking the Static Wall of Generative Model AttributionHaotian Qin, Dongliang Chang, Yueying Gao … Zhanyu MaCVPR
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  32. 2026
    CREAM: Continual Retrieval on Dynamic Streaming Corpora with Adaptive Soft MemoryHuijeong Son, Hyeongu Kang, Sunho Kim … Susik YoonKDD · Korea University · Yonsei University
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  33. 2026
    Fair Class-Incremental Learning using Sample WeightingJaeyoung Park, Minsu Kim, Steven Euijong WhangKDD · Korea Advanced Institute of Science and Technology
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  34. 2026
    GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental LearningMinsu Kim, Seong-Hyeon Hwang, Steven Euijong WhangKDD · Korea Advanced Institute of Science and Technology
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  35. 2026
    Train Separately, Merge Together: Modular Post-Training with Mixture-of-ExpertsJacob Morrison, Sanjay Adhikesaven, Akshita Bhagia … Sewon MinarXiv
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  39. 2026
    Mistake gating leads to energy and memory efficient continual learningAaron Pache, Mark C. W. van RossumbioRxiv · University of Nottingham
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  40. 2026
    Task Switching Without Forgetting via Proximal DecouplingPourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger … Yue LuarXiv
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  41. 2026PDF ↗
  42. 2026
    Jupiter-N Technical ReportGeorge DraysonarXiv
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  43. 2026PDF ↗
  44. 2026
    Continual Hand-Eye Calibration for Open-world Robotic ManipulationFazeng Li, Gan Sun, Chenxi Liu … Yang CongarXiv
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  45. 2026PDF ↗
  46. 2026
    JumpLoRA: Sparse Adapters for Continual Learning in Large Language ModelsAlexandra Dragomir, Ioana Pintilie, Antonio Bărbălau … Radu Tudor IonescuarXiv
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  47. 2026PDF ↗
  48. 2026
    Why Fine-Tuning Encourages Hallucinations and How to Fix ItGuy Kaplan, Zorik Gekhman, Zhen Zhu … Roy SchwartzarXiv
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  49. 2026PDF ↗
  50. 2026
    CI-CBM: Class-Incremental Concept Bottleneck Model for Interpretable Continual LearningAmirhosein Javadi, Tuomas Oikarinen, Tara Javidi, Tsui-Wei WengTMLR
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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.