Related work

The foundational work on continual learning, 1980 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

278 papers of 8,653 · showing 151–200Sort Recent · Most cited
  1. 2024
    TIKP: Text-to-Image Knowledge Preservation for Continual Semantic SegmentationZhidong Yu, Wei Yang, Xike Xie, Zhenbo ShiAAAI · University of Science and Technology of China · Suzhou University of Science and Technology
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  2. 2024
    Defying Imbalanced Forgetting in Class Incremental LearningXu Shi-xiong, Gaofeng Meng, Xing Nie … Shiming XiangAAAI · Chinese Academy of Sciences · Shandong Institute of Automation · +3
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  3. 2024PDF ↗
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  5. 2024
    Hypercorrelation Evolution for Video Class-Incremental LearningSen Liang, Kai Zhu, Wei Zhai … Yang CaoAAAI · University of Science and Technology of China
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  6. 2024
    Task-Free Dynamic Sparse Vision Transformer for Continual LearningFei Ye, Adrian G. BorşAAAI · Mohamed bin Zayed University of Artificial Intelligence · University of York
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  7. 2024
    Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating PrototypeYanhe Liu, Peng Wang, Wenjun Ke … Ziyu ShangAAAI · Southeast University · Nanjing University of Finance and Economics
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  8. 2022
    SimCS: Simulation for Domain Incremental Online Continual SegmentationMotasem Alfarra, Zhipeng Cai, Adel Bibi … Matthias MüllerAAAI · Intel (United States) · King Abdullah University of Science and Technology · +1
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  9. 2024
    The Inter-batch Diversity of Samples in Experience Replay for Continual LearningAndrii KrutsyloAAAI · Czech Academy of Sciences, Institute of Computer Science · Polish Academy of Sciences
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  10. 2024
    Attacks on Continual Semantic Segmentation by Perturbing Incremental SamplesZhidong Yu, Wei Yang, Xike Xie, Zhenbo ShiAAAI · University of Science and Technology of China · Suzhou University of Science and Technology
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  11. 2024
    Recall-Oriented Continual Learning with Generative Adversarial Meta-ModelHaneol Kang, Dong-Wan ChoiAAAI · Inha University
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  12. 2024
    Continual Learning in an Open and Dynamic WorldYunhui GuoAAAI · The University of Texas at Dallas
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  13. 2022
    Exploring Domain Incremental Video Highlights Detection with the LiveFood BenchmarkSen Pei, Xu Shi-xiong, Xiaojie JinAAAI · Chinese Academy of Sciences
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  14. 2024
    Collaborative Learning across Heterogeneous Systems with Pre-Trained ModelsTrong Nghia HoangAAAI · Washington State University
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  19. 2024
  20. 2023PDF ↗
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  22. 2023
    Doubly Perturbed Task-Free Continual LearningByung Hyun Lee, Min-hwan Oh, Se Young ChunAAAI
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  23. 2023
    What to Remember: Self-Adaptive Continual Learning for Audio Deepfake DetectionXiaohui Zhang, Jiangyan Yi, Chenglong Wang … Jianhua TaoAAAI
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  24. 2023
    Adaptive Shortcut Debiasing for Online Continual LearningDoyoung Kim, Dongmin Park, Yooju Shin … Jae-Gil LeeAAAI
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  25. 2023
    MIND: Multi-Task Incremental Network DistillationJacopo Bonato, Francesco Pelosin, L. Sabetta, Alessandro NicolosiAAAI
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  26. 2023PDF ↗
  27. 2023
    Online Hyperparameter Optimization for Class-Incremental LearningYaoyao Liu, Yingying Li, Bernt Schiele, Qianru SunAAAI · Johns Hopkins University · Max Planck Institute for Informatics · +2
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  28. 2023
    One-Shot Replay: Boosting Incremental Object Detection via Retrospecting One ObjectDongbao Yang, Yu Zhou, Xiaopeng Hong … Weiping WangAAAI · Institute of Information Engineering · University of Chinese Academy of Sciences · +2
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  29. 2023
    A Neural Span-Based Continual Named Entity Recognition ModelYunan Zhang, Qingcai ChenAAAI · Harbin Institute of Technology · Peng Cheng Laboratory
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  30. 2023PDF ↗
  31. 2023
    Learning Dynamic Latent Spaces for Lifelong Generative ModellingFei Ye, Adrian G. BorşAAAI · University of York
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  32. 2023
    MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental LearningYanan Wu, Tengfei Liang, Songhe Feng … Yang WangAAAI · Beijing Jiaotong University · Beijing University of Technology · +2
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  33. 2023
    Mixture Uniform Distribution Modeling and Asymmetric Mix Distillation for Class Incremental LearningSunyuan Qiang, Jiayi Hou, Jun Wan … Du ZhangAAAI · Macau University of Science and Technology · Lafayette College · +2
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  34. 2023
    Online Noisy Continual Relation LearningGuozheng Li, Peng Wang, Qiqing Luo … Wenjun KeAAAI · Southeast University
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  35. 2023
    Effective Continual Learning for Text Classification with Lightweight SnapshotsJue Wang, Dajie Dong, Lidan Shou … Gang ChenAAAI · Zhejiang University
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  36. 2023
    Incremental Image De-raining via Associative MemoryYi Gu, Chao Wang, Jie LiAAAI · Alibaba Group (China) · Shanghai Jiao Tong University
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  37. 2022
    LIMIP: Lifelong Learning to Solve Mixed Integer ProgramsSahil Manchanda, Sayan RanuAAAI · Indian Institute of Technology Delhi
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  38. 2023
    Lifelong Compression Mixture Model via Knowledge Relationship GraphFei Ye, Adrian G. BorşAAAI · University of York
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  39. 2023PDF ↗
  40. 2023
    Balanced Meta Learning and Diverse Sampling for Lifelong Task-Oriented Dialogue SystemsQiancheng Xu, Min Yang, Ruifeng XuAAAI · Georgia Institute of Technology · Chinese Academy of Sciences · +1
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  41. 2023
    Class Incremental Learning for Task-Oriented Dialogue System with Contrastive Distillation on Internal Representations (Student Abstract)Qiancheng Xu, Min Yang, Binzong GengAAAI · Georgia Institute of Technology · Shenzhen Institutes of Advanced Technology · +1
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  42. 2023
    Latent Space Evolution under Incremental Learning with Concept Drift (Student Abstract)Charles Bourbeau, Audrey DurandAAAI · Université Laval · Centre Universitaire de Mila
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  43. 2023
    Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender SystemsYuening Wang, Yingxue Zhang, Antonios Valkanas … Mark CoatesAAAI
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  46. 2023
    From Continual Learning to Causal Discovery in RoboticsLuca Castri, Sariah Mghames, Nicola BellottoAAAI
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  47. 2023
    Towards Causal Replay for Knowledge Rehearsal in Continual LearningNikhil Churamani, Jiaee Cheong, Sinan Kalkan, Hatice GunesAAAI
  48. 2023
  49. 2023
    Issues for Continual Learning in the Presence of Dataset BiasDonggyu Lee, Sangwon Jung, Taesup MoonAAAI
  50. 2023
    From IID to the Independent Mechanisms assumption in continual learningOleksiy Ostapenko, Pau Rodríguez López, Alexandre Lacoste, Laurent CharlinAAAI
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 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.