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.

8 papers of 6,984Sort Recent · Most cited
  1. 2024
    Incremental Image Generation with Diffusion Models by Label Embedding Initialization and FusionBing Li, Dongdong Ren, Hao Liu … Yang Gaoon Continual Learning meets Multimodal Foundation Models:… · Nanjing University · Tencent (China)
  2. 2024
    MultiVFL: A Training-Efficient Framework for Multiple Vertical Federated LearningJu Huang, Lan Zhang, Cheng Ding … Lan XuInternational Conference on Big Data Computing and Commun… · University of Science and Technology of China · Tencent (China)
  3. 2024
    Distillation Excluding Positives for Few-Shot Class-Incremental LearningDuo Liu, Linglan Zhao, Zhongqiang Zhang … Xiangzhong FangIEEE International Conference on Multimedia and Expo (ICME) · Shanghai Jiao Tong University · Tencent (China)
  4. 2024
    Relation Knowledge Distillation Based on Prompt Learning for Generalized Few-Shot Intent DetectionChaiyut Luoyiching, Yangning Li, Yinghui Li … Hanjing SuIJCNN · Tsinghua University · Tencent (China)
  5. 2024
    Task-Adaptive Saliency Guidance for Exemplar-Free Class Incremental LearningXialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov … Ming‐Ming ChengCVPR · Nankai University · University of Florence · +1
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  6. 2024
    Learning Task-Aware Language-Image Representation for Class-Incremental Object DetectionHongquan Zhang, Bin-Bin Gao, Yi Zeng … Yuan XieAAAI · East China Normal University · Tencent (China) · +1
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  7. 2024
    Continual Learning with Semi-supervised Contrastive Distillation for Incremental Neural Machine TranslationYunlong Liang, Fandong Meng, Jiaan Wang … Jie ZhouACL · Beijing Jiaotong University · Tencent (China)
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  8. 2024
    Dynamics-Adaptive Continual Reinforcement Learning via Progressive ContextualizationTiantian Zhang, Zichuan Lin, Yuxing Wang … Xiu LiTNNLS · Tencent (China) · Tsinghua University · +1
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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.