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.

231 papers of 8,653 · showing 1–50Sort Recent · Most cited

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2026
Importance-Based Regularization and Task Ordering in Continual Learning: an Empirical Study Through the Lens of the Fisher Information MatrixRaphaël Seran, Hugo Kennedy, Othmane HimmiPreprint
2026
Generative Replay for Catastrophic Interference Mitigation in Lifelong User-Adaptive Visual Speech Enhancement GANsYuki Inoue, Kota Kimura, Masakiyo FujimotoPreprint
2025
Proceedings of the 2nd International Workshop on Continual Learning meets Multimodal Foundation Models: Fundamentals and AdvancesAuthors pendingPreprint
2025
Continual Learning in Scenari Realistici: dai domini naturali a quelli specializzatiLorenzo BonicelliPreprint
2025
Hybrid method for continual learning in convolutional Neural NetworksBasile ToussidePreprint
2025
Methods for Downstream Continual Learning with Foundation ModelsK. AhrensPreprint
2024
Proceedings of the 1st on Continual Learning meets Multimodal Foundation Models: Fundamentals and AdvancesAuthors pendingPreprint
2024
Principles of Catastrophic Forgetting for Continual Semantic Segmentation in Automated DrivingTobias KalbPreprint
2024
Bio-Inspired Continual Learning and Transfer Learning on Temporal SequencesJoachim OttPreprint
2024
Continual learning by subnetwork creation and selectionAleksandr DekhovichPreprint
2024
Efficient Lifelong Learning in Deep Neural Networks: Optimizing Architecture, Training, and DataSanket Vaibhav MehtaPreprint
2024
Going beyond Classification Problems for the Continual Learning of Deep Neural NetworksChensheng WuPreprint
2024
Rehearsal-based continual learning with deep neural networks for image classificationFelix WiewelPreprint
2023
Enhancing Continual Learning with Global Prototypes: Counteracting Negative Representation DriftXueying Bai, Jinghuan Shang, Yifan Sun, Niranjan BalasubramanianPreprint
2023
Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning (Appendix)Sang-Ho Kim, Lorenzo Noci, Antonio Orvieto, Thomas HofmannPreprint
2023
Appendix on “CafeBoost: Causal Feature Boost to Eliminate Task-Induced Bias for Class Incremental Learning”Benliu Qiu, Hongliang Li, Haitao Wen … Li-Li PanPreprint
2023
Lecture 21: Catastrophic forgetting, knowledge distillation and meta-learningAnant Sahai, Johan Fredrik AgerupPreprint
2023
Supplemental Material for Few-Shot Class-Incremental Learning via Class-Aware Bilateral DistillationLinglan Zhao, Jing Lu, Yunlu Xu … Xi FangPreprint
2023
Supplementary Material for Dense Network Expansion for Class Incremental LearningZhiyuan Hu, Yunsheng Li, J. Lyu … N. VasconcelosPreprint
2023
Technical Appendix for Decoupling Learning and Remembering: a Bilevel Memory Framework with Knowledge Projection for Task-Incremental LearningWenju Sun, Qingyong Li, Jing Zhang … Yangli-ao GengPreprint
2023
Unsupervised Progressive and Continual Learning of Disentangled RepresentationsZhiyuan LiPreprint
2023
Variational Bayes for Continual Learning and Time-Series ForecastingRichard KurlePreprint
2022
Federated Continual Learning with Differentially Private Data SharingGiulio Zizzo, Ambrish Rawat, N. Holohan, Seshu TirupathiPreprint
2022
Complementary Prompting for Rehearsal-free Continual Learning 19 Algorithm 1: DualPrompt at training timeZ. Wang, Z. ZhangPreprint
2022
Speeding-up Continual Learning through Information Gains in Novel ExperiencesPierrick Lorang, Shivam Goel, Patrik Zips … matthias. scheutzPreprint
2022
Deep Learning for Class-Incremental Learning: A surveyDa-Wei Zhou, Fu Lee Wang, Han-Jia Ye, De-chuan ZhanPreprint
2022
E FFECT OF MODEL AND PRETRAINING SCALE ON CATASTROPHIC FORGETTING IN NEURAL NETWORKSV. Ramasesh, Aitor Lewkowycz, Ethan DyerPreprint
2022
Continual Learning for Time-to-Event ModelingManisha Dubey, P. K. Srijith, M. DesarkarPreprint
2022
Continual Poisoning of Generative Models to Promote Catastrophic ForgettingSiteng Kang, Zhan Shi, Xinhua ZhangPreprint
2022
Can Sequential Bayesian Inference Solve Continual Learning?Samuel Kessler, Adam D. Cobb, S. Zohren, Stephen J. RobertsPreprint
2022
Deep knowledge transfer for generalization across tasks and domains under data scarcity: on intersections of anomaly detection, few-shot learning, continual learning, domain generalization and data-free learningA. FrikhaPreprint
2022
Populating Memory in Continual Learning with Consistency Aware SamplingJ. Hurtado, Alain Raymond-Sáez, Vladimir Araujo … D. BacciuPreprint
2022
Supplementary Material: Continual Learning with Lifelong Vision TransformerZhen Wang, Liu Liu, Yiqun Duan … Dacheng TaoPreprint
2022
Title: Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals Short title: A neural network model of human continual learningTimo Flesch, D. G. Nagy, Andrew M. Saxe, C. SummerfieldPreprint
2022
Adaptive Methods for Nonconvex Continual LearningSeung-Hak HanPreprint
2022
CL-LSG: Continual Learning via Learnable Sparse GrowthLi Yang, Sen Lin, Junshan Zhang, Deliang FanPreprint
2022
Class-Incremental Learning with Strong Pre-trained Models Supplemental MaterialTz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li … S. SoattoPreprint
2022
Continual Learning for Computer Vision. (Apprentissage continu pour la vision par ordinateur)Arthur DouillardPreprint
2022
Continual learning for hierarchical classification, few-shot recognition, and multi-modal learningKai WangPreprint
2022
Continual Learning for Scene Analysis in Open WorldRomaric Audigier, Hejer AmmarPreprint
2022
Do Pre-trained Models Benefit Equally in Continual Learning? Supplementary MaterialKuan-Ying Lee, Yuanyi Zhong, Yu-Xiong WangPreprint
2022
Efficient Meta Continual Learning on the EdgeYoung D. KwonPreprint
2022
Elastic Weight Consolidation for Reduction of Catastrophic Forgetting in GPT-2Rishi Bommasani, Drew A. Hudson, Ehsan Adeli … D. LuanPreprint
2022
Knowledge uncertainty and lifelong learning in neural systemsChristian HenningPreprint
2022
Supplementary Material : Class-incremental Novel Class DiscoveryAuthors pendingPreprint
2022
Supplementary material for ”FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning”Grégoire Petit, Adrian-Ştefan Popescu, Hugo Schindler … Bertrand DelezoidePreprint
2022
Supplementary Materials for ”SSFE-Net: Self-Supervised Feature Enhancement for Ultra-Fine-Grained Few-Shot Class Incremental Learning”Zicheng Pan, Xiaohan Yu, Miaohua Zhang, Yongsheng GaoPreprint
2022
Supplementary: CAM-GAN: Continual Adaptation Modules for Generative Adversarial NetworksSakshi Varshney, V. Verma, P. K. Srijith … Piyush RaiPreprint
2022
Towards Efficient Continual Learning in Deep Neural NetworksNikhil MehtaPreprint
2021
Online Continual Learning Under Domain ShiftQ. Pham, Chenghao Liu, S. HoiPreprint

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. By default it shows the papers we have a reason to trust: published at a venue like NeurIPS, ICML, ICLR, CVPR or TPAMI, or written by someone who has published there, or cited a few hundred times. The rest are one click away under “All papers”. 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.