Related work

The foundational work on continual learning, 1959 to 2026: methods, theory, benchmarks, surveys, and the neuroscience of memory. Updated weekly; some carry our notes.

279 papers of 11,817 · showing 51–100Sort Recent · Most cited

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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 class-incremental learning for autonomous object recognition in image sequences. (Apprentissage incrémental de classe continu pour la reconnaissance autonome d'objets dans des séquences d'images)Ruiqi DaiPreprint
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
A comparison of distributed machine learning methods for the support of "Many Labs" collaborations in computational modelling of decision makingLili Zhang, Himanshu Vashisht, A. Totev … T. WardPreprint
2021
Continual Learning for Pattern Recognizers using Neurogenesis Deep Learning.James Harris, S. Kinkead, Dylan M. Fox, Yang HoPreprint
2021
Online Continual Learning Under Domain ShiftQ. Pham, Chenghao Liu, S. HoiPreprint
2021
Pattern and Function Transfer for Learning Classifier SystemsTrung-Thanh NguyenPreprint
2021
Deep Neural Networks Techniques using for Learning Automata Based Incremental Learning MethodC. Et.alPreprint
2021
DualNet: Continual Learning, Fast and Slow Supplementary MaterialsQ. Pham, Chenghao Liu, S. HoiPreprint
2021
Appendix – Natural continual learningAuthors pendingPreprint
2021
Breaking Free From the Stability-Plasticity Dilemma With Incremental Domain Inference on Sequential DataRomain MouretPreprint
2021
C-COMA: A Continual Reinforcement Learning Model for Dynamic Multiagent EnvironmentsIncheol Kim, Kyu-Jung Jung, ⋅. I. Kim, 철 정규열†⋅김인Preprint
2021
Class-Incremental Learning for Tissue ClassiﬁcationSemester Thesis, Prof. Dr. Orc¸un G¨okselPreprint
2021
Continual Learning for Image-Based Camera Localization – Supplementary material –Authors pendingPreprint
2021
Continual Learning From Unlabeled Data Via Deep ClusteringJiangpeng HePreprint
2021
CONTINUAL LEARNING IN AUTOMATED AUDIO CAPTIONINGJan van den BergPreprint
2021
Continual Learning with Memory CascadesD. Kappel, F. Negri, Christian TetzlaffPreprint
2021
CONTINUAL LEARNING WITH SKETCHED STRUCTURAL REGULARIZATIONHaoran LiPreprint
2021
Dual-Teacher Class-Incremental Learning With Data-Free Generative Replay — Supplementary Materials —Yoojin Choi, Mostafa El-KhamyPreprint
2021
Federated Continual Learning for Human-Robot InteractionLuke Guerdan, Sinan KalkanPreprint
2021
Knowledge Transfer for Class-Incremental Learning Without MemoryH. SlimPreprint
2021
Lifelong Robot LearningE. Oztop, Emre UgurPreprint
2021
MAML-CL: Edited Model-Agnostic Meta-Learning for Continual LearningMarcin Andrychowicz, Misha Denil, Sergio Gómez … Longxiang GaoPreprint
2021
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data - Supplementary MaterialsAuthors pendingPreprint
2021
Reducing Catastrophic Forgetting in Self-Organizing MapsHitesh U VaidyaPreprint
2021
Supplementary Material for Co-Transport for Class-Incremental LearningDa-Wei Zhou, Han-Jia Ye, De-chuan ZhanPreprint
2021
Supplementary Material for the Paper : Class-Incremental Learning for Action Recognition in VideosJaeyoo Park, Minsoo Kang, Bohyung HanPreprint
2021
Supplementary Material: Rectification-based Knowledge Retention for Continual LearningPravendra Singh, Pratik Mazumder, Piyush Rai, Vinay P. NamboodiriPreprint
2021
Supplementary Materials for "Generative vs Discriminative: Rethinking The Meta-Continual Learning"Mohammadamin Banayeeanzade, Rasoul Mirzaiezadeh, Hosein Hasani, M. BaghshahPreprint
2021
Supplementary: Essentials for Class Incremental LearningSudhanshu Mittal, Silvio Galesso, T. BroxPreprint
2021
Unsupervised learning and continual learning in neural networksXu JiPreprint
2020
Discriminative Representation Loss (DRL): A More Efficient Approach Than Gradient Re-projection in continual learning.Yu Chen, Tom Diethe, Peter A. FlachPreprint
2020
Optimization and Generalization of Regularization-Based Continual Learning: a Loss Approximation Viewpoint.Dong Yin, Mehrdad Farajtabar, Ang Li … Alex MottPreprint
2020
Author response: Can sleep protect memories from catastrophic forgetting?Oscar C. González, Yury Sokolov, Giri P. Krishnan … Maxim BazhenovPreprint · University of California San Diego
2020
Combining Variational Continual Learning with FiLM LayersNoel Loo, S. Swaroop, Richard E. TurnerPreprint
2020
Apprentissage continu : S'attaquer à l'oubli foudroyant des réseaux de neurones profonds grâce aux méthodes à rejeu de données. (Continual Learning : Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes)Timothée LesortPreprint
2020
Continual Learning Using Multi-view Task Conditional Neural NetworksHonglin Li, Payam M. Barnaghi, Shirin Enshaeifar, F. GanzPreprint

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.