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.

793 papers of 4,574 · showing 601–650Sort Recent · Most cited
  1. 2024
    ConSept: Continual Semantic Segmentation via Adapter-based Vision TransformerBowen Dong, Guanglei Yang, Wangmeng Zuo, Lei ZhangarXiv
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  2. 2024
    One-stage Prompt-based Continual LearningYoungeun Kim, Yuhang Li, Priyadarshini PandaECCV
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  3. 2024
    Making Pre-trained Language Models Better Continual Few-Shot Relation ExtractorsShengkun Ma, Jiale Han, Yi Liang, Bo ChengInternational Conference on Language Resources and Evalua…
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  5. 2024
    MemoryPrompt: A Light Wrapper to Improve Context Tracking in Pre-trained Language ModelsNathanaël Carraz Rakotonirina, Marco BaroniInternational Conference on Language Resources and Evalua…
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  6. 2024
    Leveraging dendritic properties to advance machine learning and neuro-inspired computing.Michalis Pagkalos, Roman Makarov, Panayiota PoiraziCurrent Opinion in Neurobiology · University of Crete · Institute of Molecular Biology and Biotechnology · +2
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  7. 2024
    Unveiling Linguistic Regions in Large Language ModelsZhihao Zhang, Jun Zhao, Qi Zhang … Xuanjing HuangACL
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  8. 2024
    Self-Distillation Bridges Distribution Gap in Language Model Fine-TuningZhaorui Yang, Tianyu Pang, Haozhe Feng … Qian LiuACL
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  9. 2024
    Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing AgentXiaoyan Yu, Tongxu Luo, Yifan Wei … Liehuang ZhuEMNLP
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  10. 2024
    Can Similarity-Based Domain-Ordering Reduce Catastrophic Forgetting for Intent Recognition?Amogh Mannekote, Xiaoyi Tian, Kristy Elizabeth Boyer, Bonnie J. DorrarXiv
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  11. 2024
    Dynamic Environment Responsive Online Meta-Learning with Fairness AwarenessChen Zhao, Feng Mi, Xintao Wu … Feng ChenACM Transactions · Baylor University · The University of Texas at Dallas · +1
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  12. 2024
    Structural Knowledge Informed Continual Multivariate Time Series ForecastingZijie Pan, Yushan Jiang, Dongjin Song … Yuriy NevmyvakaarXiv
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  14. 2024
    Class-incremental Learning for Time Series: Benchmark and EvaluationZhongzheng Qiao, Quang Pham, Zhengwei Cao … Savitha RamasamyKDD
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  15. 2024
    Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural NetworksMingqing Xiao, Qingyan Meng, Zongpeng Zhang … Zhouchen LinICLR
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  16. 2024
    Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing MapsHitesh Vaidya, Travis Desell, Ankur Mali, Alexander G. OrorbiaarXiv
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  19. 2024
    MoRAL: MoE Augmented LoRA for LLMs' Lifelong LearningShu Yang, Muhammad Asif Ali, Chenglong Wang … Di WangarXiv
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  20. 2024
    Maintaining Adversarial Robustness in Continuous LearningXiaolei Ru, Xiaowei Cao, Zijia Liu … Gang YanarXiv
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  21. 2024
    Incremental Sequence Labeling: A Tale of Two ShiftsShengjie Qiu, Junhao Zheng, Zhen Liu … Qianli MaACL
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  22. 2024
    Evaluating and Improving Continual Learning in Spoken Language UnderstandingMuqiao Yang, Xiang Li, Umberto Cappellazzo … Bhiksha RajarXiv
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  23. 2024PDF ↗
  24. 2024
    Is Continual Learning Ready for Real-world Challenges?Theodora Kontogianni, Yuanwen Yue, Siyu Tang, Konrad SchindlerarXiv
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  25. 2024
    Balancing the Causal Effects in Class-Incremental LearningJunhao Zheng, Ruiyan Wang, Chongzhi Zhang … Qianli MaarXiv
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  26. 2024
    Layerwise Proximal Replay: A Proximal Point Method for Online Continual LearningJason J. Yoo, Yunpeng Liu, Frank Wood, Geoff PleissICML
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  28. 2024
    Can LLMs Learn New Concepts Incrementally without Forgetting?Junhao Zheng, Shengjie Qiu, Qianli MaarXiv
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  29. 2024
    A novel spatial-frequency domain network for zero-shot incremental learningJie Ren, Yang Zhao, Weichuan Zhang, Changming SunarXiv
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  30. 2024
    TaE: Task-aware Expandable Representation for Long Tail Class Incremental LearningLinjie Li, Zhenyu Wu, Liu, Jiaming, JI yangAsian Conference on Computer Vision
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  31. 2024
    Federated Continual Learning via Knowledge Fusion: A SurveyXin Yang, Hao Yu, Xin Gao … Tianrui LiTKDE · Southwestern University of Finance and Economics · Nanyang Technological University · +2
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  32. 2024
    Elastic Feature Consolidation for Cold Start Exemplar-free Incremental LearningSimone Magistri, Tomaso Trinci, Albin Soutif--Cormerais … Andrew D. BagdanovICLR
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  35. 2024
    Continual Domain Adversarial Adaptation via Double-Head DiscriminatorsYan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen GaoAISTATS
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  36. 2024
    Continual Learning for Large Language Models: A SurveyTongtong Wu, Linhao Luo, Yuan-Fang Li … Gholamreza HaffariarXiv
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  37. 2024PDF ↗
  38. 2024
    CORE: Mitigating Catastrophic Forgetting in Continual Learning through Cognitive ReplayJianshu Zhang, Yankai Fu, Ziheng Peng … Kun HeCognitive Science
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  39. 2024
    Few-Shot Class-Incremental Learning with Prior KnowledgeWenhao Jiang, Duo Li, Menghan Hu … Xiaoping ZhangarXiv
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  40. 2024
    OEBench: Investigating Open Environment Challenges in Real-World Relational Data StreamsYiqun Diao, Yutong Yang, Qinbin Li … Mian LuVLDB · National University of Singapore · University of California, Berkeley
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  41. 2024
    Bias Mitigating Few-Shot Class-Incremental LearningLi-Jun Zhao, Zhen-Duo Chen, Zi-Chao Zhang … Xin-Shun XuarXiv
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  42. 2024
    Neighboring Perturbations of Knowledge Editing on Large Language ModelsJun-Yu Ma, Zhen-Hua Ling, Ningyu Zhang, Jia-Chen GuICML
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  45. 2024
    Step-size Optimization for Continual LearningThomas Degris, Khurram Javed, Arsalan Sharifnassab … Richard SuttonarXiv
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  47. 2024
    Continual Learning with Pre-Trained Models: A SurveyDawei Zhou, Hailong Sun, Jingyi Ning … De‐Chuan ZhanIJCAI
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  49. 2024
    Face to Cartoon Incremental Super-Resolution using Knowledge DistillationTrinetra Devkatte, Shiv Ram Dubey, Satish Kumar Singh, Abdenour HadidICPR
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  50. 2024PDF ↗
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.