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.

1,469 papers of 6,984 · showing 701–750Sort Recent · Most cited
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    Replay Can Provably Increase ForgettingYasaman Mahdaviyeh, James Lucas, Mengye Ren … Toniann PitassiarXiv
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    Scaling CrossQ with Weight NormalizationDaniel Palenicek, Florian Vogt, Jan PetersarXiv
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  5. 2025
    Sparse Moving Averages for Lifelong Open-Ended Probabilistic PredictionOmid MadaniACM International Workshop on Security and Privacy Analytics
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    The Future of Continual Learning in the Era of Foundation Models: Three Key DirectionsJack P. Bell, Luigi Quarantiello, E N Coleman … Vincenzo LomonacoHHAI Workshops
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    Supervised contrastive learning with prototype distillation for data incremental learningSuorong Yang, Tianyue Zhang, Zhiming Xu … Jian ZhaoNeural Networks · Nanjing University of Science and Technology · Nanjing University
  8. 2025
    CKDF-V2: Effectively Alleviating Representation Shift for Continual Learning With Small MemoryKunchi Li, Hongyang Chen, Jun Wan, Shan YuTNNLS · Xiamen University of Technology · Zhejiang Lab · +2
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    RACE: Robust adaptive and clustering elimination for noisy labels in continual learningYang Xiaolong, Guangda Lai, Dan Meng … Xin YangKnowledge-Based Systems · Southwestern University of Finance and Economics
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    Continual-MEGA: A Large-scale Benchmark for Generalizable Continual Anomaly DetectionGeonu Lee, Yujeong Oh, Geonhui Jang … Y. YooNeurocomputing
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    Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing ChurnHongyao Tang, Johan Obando-Ceron, Pablo Samuel Castro … Glen BersethICML
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    Enhancing Multimodal Continual Instruction Tuning with BranchLoRADuzhen Zhang, Yongcheng Ren, Zhongzhi Li … Bai, JinfengACL
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  15. 2025
    Continual Learning in Vision-Language Models via Aligned Model MergingGhada Sokar, Gintare Karolina Dziugaite, Anurag Arnab … Cordelia SchmidarXiv
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    Unlocking the Power of Rehearsal in Continual Learning: A Theoretical PerspectiveJunze Deng, Qiqi Wu, Peizhong Ju … Ness B. ShroffICML
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    Rethinking Continual Learning with Progressive Neural CollapseZheng Wang, Wenhua Yu, Yang Li, Sen LinICLR
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    LADA: Scalable Label-Specific CLIP Adapter for Continual LearningLuo, Mao-Lin, Zihao Zhou, Wei Tong, Min-Ling ZhangICML
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  21. 2025
    Meta-Tuner: Meta-trained node-specific transformations for Graph Few-Shot Class-Incremental LearningZhengnan Li, Jun Fang, Jun-Bo Wang … Yunxiao QinExpert Systems with Applications · Communication University of China · Tsinghua University · +1
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    Completely Weakly Supervised Class-Incremental Learning for Semantic SegmentationDavid Minkwan Kim, Soeun Lee, Byeongkeun KangPattern Recognition Letters · Hanyang University · Anyang University · +1
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  28. 2025
    Loss of Plasticity: A New Perspective on Solving Multi-Agent Exploration for Sparse Reward TasksZehua Zang, Chuxiong Sun, Lixiang Liu … Changwen ZhengAdaptive Agents and Multi-Agent Systems
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    Continual Learning Beyond Experience Rehearsal and Full Model SurrogatesPrashant Bhat, Laurens Niesten, Elahe Arani, Bahram ZonoozarXiv
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  30. 2025
    Test-Time Learning for Large Language ModelsJinwu Hu, Zhitian Zhang, Guohao Chen … Mingkui TanICML
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    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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    Overcoming Catastrophic Forgetting in Federated Continual Graph Learning for Resource-Limited Mobile DevicesJiyuan Feng, Xu Yang, Dongyi Zheng … Qing LiaoIEEE Transactions · Harbin Institute of Technology · Peng Cheng Laboratory
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    STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution GeneralizationHaoyu Zhang, Wentao Zhang, H. Miao … Yifan ZhangNeurIPS
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    Continual Contrastive Learning: Buffer CostChiara Lanza, Roberto Pereira, Marco Miozzo … Paolo DiniICML · Artificial Intelligence Research Institute · IRIS Technology Solutions (Spain)
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    Multi-Attribute Continual Learning for Blind Image Quality AssessmentYunhao Luo, Jinming Liu, Wei Zhou, Xin JinIEEE International Symposium on Circuits and Systems (ISCAS) · University of Electronic Science and Technology of China · Ningbo Institute of Industrial Technology · +1
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    ZSCIL: Zero-Shot Class Incremental Learning Method for Signal RecognitionWenjie Sun, Rujun Song, Sidi Liang … Bo YanIEEE International Symposium on Circuits and Systems (ISCAS) · University of Electronic Science and Technology of China · Shanghai Jiao Tong University
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    A Quantitative Analysis of Catastrophic Forgetting in Quantized Spiking Neural NetworksAssel Kembay, Karina Aguilar, Jason K. EshraghianIEEE International Symposium on Circuits and Systems (ISCAS) · University of California, Santa Cruz
  45. 2025
    Knowledge Fusion of Large Language Models Via Modular SkillPacksGuodong Du, Zhuo Li, Zhou, Xuanning … Jing LiarXiv
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    Learning without Isolation: Pathway Protection for Continual LearningZhikang Chen, Abudukelimu Wuerkaixi, Sen Cui … Tianling RenICML
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    Exemplar-Free Continual Learning for State Space ModelsIsaac Ning Lee, Leila Mahmoodi, Trung Le, Mehrtash HarandiarXiv
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  50. 2025
    PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision TransformerQian Feng, Hanbin Zhao, Chao Zhang … Hui QianIEEE TCSVT · Zhejiang University of Science and Technology · Zhejiang University · +2
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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.