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 51–100Sort Recent · Most cited

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2021
DualNet: Continual Learning, Fast and Slow Supplementary MaterialsQ. Pham, Chenghao Liu, S. HoiPreprint
2021
Efﬁcient Continual Learning for Keyword Spotting and Speaker IdentiﬁcationJian Vora, Anwesh Mohanty, Sai GauravPreprint
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
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
Continual Learning Using Multi-view Task Conditional Neural NetworksHonglin Li, Payam M. Barnaghi, Shirin Enshaeifar, F. GanzPreprint
2020
Continual Learning Based on Amortized InferenceH. KawashimaPreprint
2020
Mitigating the catastrophic forgetting effect using generative modelsDi Torino, E. FicarraPreprint
2020
Neural Architectures Design and Search for Deep Learning and Continual Learning.Xilai LiPreprint
2020
Decision letter: Can sleep protect memories from catastrophic forgetting?F. BattagliaPreprint
2020
A simple memory-recalling algorithm for neural networks -- Continual learning with relearning of recalled memoriesKazuya Sato, Koichiro YamauchiPreprint
2020
Incremental Learning: Deep Neural NetworksR. Garimella, J. Prasanna, Maha Lakshmi Bairaju, Manasa JagannadanPreprint
2020
Safety-Oriented Stability Biases for Continual LearningAshish Gaurav, Jaeyoung Lee, Vahdat Abdelzad, Sachin VernekarPreprint
2020
Continual Learning on Incremental Simulations for Real-World Robotic Manipulation TasksJosip Josifovski, M. Malmir, Noah Klarmann, Alois KnollPreprint
2020
An Application-Independent Approach to Building Task-Oriented Chatbots with Interactive Continual LearningS. Mazumder, Bing Liu, Shuai Wang, Sepideh EsmaeilpourPreprint
2020
Chaotic Continual LearningTouraj Laleh, Mojtaba Faramarzi, I. Rish, Sarath ChandarPreprint
2020
Logical Composition for Lifelong Reinforcement LearningGeraud Nangue Tasse, Steven James, Benjamin RosmanPreprint
2020
Active Continual Learning for Planning and NavigationA. H. Qureshi, Yinglong Miao, Michael C. YipPreprint
2020
Can Expressive Posterior Approximations Improve Variational Continual Learning?S. Auddy, Jakob J. Hollenstein, Matteo Saveriano … J. PiaterPreprint
2020
A Declarative Memory Recurrent Neural Model for Lifelong Learning of Intelligent AgentsAuthors pendingPreprint
2020
A General Framework for Continual Learning of Compositional StructuresJorge Armando Mendez Mendez, Eric EatonPreprint
2020
Appendices to “A General Framework for Continual Learning of Compositional Structures”Jorge Armando Mendez MendezPreprint
2020
Conditional Input Gated Low-Rank Perturbations for Continual LearningAuthors pendingPreprint
2020
Continual Learning and Forgetting in Deep Learning ModelsA. El KhatibPreprint
2020
Continual learning for efficient machine learningArslan ChaudhryPreprint
2020
Continual Learning with Neural NetworksS. EbrahimiPreprint
2020
Discriminative representation loss (DRL) for continual learning: A solution for CLVision challengeYu Chen, Jia Jun Ma, Hanyu Wan … Tom DiethePreprint
2020
Incremental Learning with Bayesian Neural NetworksPolitecnico di Torino, E. FicarraPreprint

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.