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.

645 papers of 4,574 · showing 251–300Sort Recent · Most cited
  1. 2023
    Self-regulating Prompts: Foundational Model Adaptation without ForgettingMuhammad Uzair Khattak, Syed Talal Wasim, Muzammal Naseer … Fahad Shahbaz KhanICCV
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  2. 2023
    CILIATE: Towards Fairer Class-Based Incremental Learning by Dataset and Training RefinementXuanqi Gao, Juan Zhai, Shiqing Ma … Shiwei WangACM SIGSOFT International Symposium on Software Testing a… · Xi'an Jiaotong University · University of Massachusetts Boston · +1
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  3. 2023
    Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing PlatformMateusz Wójcik, Witold Kościukiewicz, Mateusz Baran … Adam GonczarekACL
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  4. 2023
    Towards Robust and Efficient Continual Language LearningAdam Fisch, Amal Rannen-Triki, Razvan Pascanu … Marc’Aurelio RanzatoarXiv
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  5. 2023
    Scaling Distributed Multi-task Reinforcement Learning with Experience SharingSanae Amani, Khushbu Pahwa, Vladimir Braverman, Lin F. YangarXiv
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  6. 2023
    EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user videoMatthias De Lange, Hamid Eghbal-zadeh, Reuben Tan … Karl RidgewayarXiv
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  7. 2023
    Continual Learning as Computationally Constrained Reinforcement LearningSaurabh Kumar, Henrik Marklund, Ashish Rao … Benjamin Van RoyFound. Trends Mach. Learn.
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  8. 2023
    CoDEPS: Online Continual Learning for Depth Estimation and Panoptic SegmentationNiclas V�disch, K�rsat Petek, Wolfram Burgard, Abhinav ValadaRSS · University of Freiburg · University of Technology Nuremberg
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  9. 2023
    Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual LearningGaurav Bagwe, Xiaoyong Yuan, Miao Pan, Lan ZhangarXiv
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  10. 2023
    Measuring and Mitigating Interference in Reinforcement LearningVincent Liu, Wang, Han, Tao, Ruo Yu … White, MarthaCoLLAs · University of Alberta
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  11. 2023
    The Importance of Robust Features in Mitigating Catastrophic ForgettingHikmat Ullah Khan, Nidhal Bouaynaya, Ghulam RasoolIEEE Symposium on Computers and Communications (ISCC) · Rowan University · Moffitt Cancer Center
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  12. 2023PDF ↗
  13. 2023PDF ↗
  14. 2023
    RanPAC: Random Projections and Pre-trained Models for Continual LearningMark D. McDonnell, Dong Gong, Amin Parveneh … Anton van den HengelNeurIPS
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  15. 2023
    Exploring Continual Learning for Code Generation ModelsPrateek Yadav, Qing Sun, Hantian Ding … Bing XiangACL
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  16. 2023
    A Unified Object Counting Network With Object Occupation PriorShengqin Jiang, Qing Wang, Fengna Cheng … Qingshan LiuIEEE TCSVT · Nanjing University of Information Science and Technology · Nanjing Forestry University · +3
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  17. 2023
    Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic MemorySara Babakniya, Zalan Fabian, Chaoyang He … Salman AvestimehrarXiv
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  18. 2023
    Semantic-visual Guided Transformer for Few-shot Class-incremental LearningWenhao Qiu, Sichao Fu, Jingyi Zhang … Qinmu PengIEEE International Conference on Multimedia and Expo (ICME) · Huazhong University of Science and Technology
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  19. 2023
    Preserving Locality in Vision Transformers for Class Incremental LearningBowen Zheng, Da-Wei Zhou, Han-Jia Ye, De‐Chuan ZhanIEEE International Conference on Multimedia and Expo (ICME) · Nanjing University
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  20. 2023
    Improving Online Continual Learning Performance and Stability with Temporal EnsemblesAlbin Soutif--Cormerais, Antonio Carta, Joost van de WeijerCoLLAs
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  21. 2023PDF ↗
  22. 2023
    Map-based experience replay: a memory-efficient solution to catastrophic forgetting in reinforcement learningMuhammad Burhan Hafez, Tilman Immisch, Tom Weber, Stefan WermterFrontiers · Universität Hamburg · Hamburg University of Technology
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  23. 2023
    Parameter-Level Soft-Masking for Continual LearningTatsuya Konishi, Mori Kurokawa, Chihiro Ono … Bing LiuICML
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  24. 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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  25. 2023
    Learning to Modulate pre-trained Models in RLThomas Schmied, Markus Hofmarcher, Fabian Paischer … Sepp HochreiterNeurIPS
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  26. 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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  27. 2023
    A Neural Span-Based Continual Named Entity Recognition ModelYunan Zhang, Qingcai ChenAAAI · Harbin Institute of Technology · Peng Cheng Laboratory
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  28. 2023PDF ↗
  29. 2023
    Learning Dynamic Latent Spaces for Lifelong Generative ModellingFei Ye, Adrian G. BorşAAAI · University of York
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  30. 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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  31. 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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  32. 2023
    Online Noisy Continual Relation LearningGuozheng Li, Peng Wang, Qiqing Luo … Wenjun KeAAAI · Southeast University
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  33. 2023
    Effective Continual Learning for Text Classification with Lightweight SnapshotsJue Wang, Dajie Dong, Lidan Shou … Gang ChenAAAI · Zhejiang University
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  34. 2023
    Continual Learning for Out-of-Distribution Pedestrian DetectionMahdiyar Molahasani, Ali Etemad, Michael A. GreenspanInternational Conference on Information Photonics
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  35. 2023
    Incremental Image De-raining via Associative MemoryYi Gu, Chao Wang, Jie LiAAAI · Alibaba Group (China) · Shanghai Jiao Tong University
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  36. 2023
    LIMIP: Lifelong Learning to Solve Mixed Integer ProgramsSahil Manchanda, Sayan RanuAAAI · Indian Institute of Technology Delhi
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  37. 2023
    Lifelong Compression Mixture Model via Knowledge Relationship GraphFei Ye, Adrian G. BorşAAAI · University of York
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  38. 2023PDF ↗
  39. 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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  40. 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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  41. 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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  42. 2023
    Maintaining Plasticity in Deep Continual LearningShibhansh Dohare, J. Fernando Hernandez-Garcia, Parash Rahman … Richard S. SuttonarXiv
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  43. 2023
    On The Relationship Between Continual Learning and Long-Tailed RecognitionMahdiyar Molahasani, Michael Greenspan, Ali EtemadarXiv
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  44. 2023
    Explainable Lifelong Stream Learning Based on "Glocal" Pairwise FusionChu Kiong Loo, Wei Shiung Liew, Stefan WermterarXiv
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  45. 2023
    Learnability and Algorithm for Continual LearningGyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing LiuICML
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  46. 2023
    Class-Incremental Learning based on Label GenerationYijia Shao, Yiduo Guo, Dongyan Zhao, Bing LiuACL
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  47. 2023
    Continual Learners are Incremental Model GeneralizersJaehong Yoon, Sung Ju Hwang, Yue CaoICML
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  48. 2023PDF ↗
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  50. 2023PDF ↗
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.