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 101–150Sort Recent · Most cited

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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
A temporal continual learning framework for investment decisionsDaniel PhilpsPreprint
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
Framework improves 'continual learning' for artificial intelligenceMatt ShipmanPreprint
2020
Incremental Learning with Bayesian Neural NetworksPolitecnico di Torino, E. FicarraPreprint
2020
INTEGRATING NEW KNOWLEDGE WITHOUT CATASTROPHIC INTERFERENCE: COMPUTATIONAL AND THEORETICAL INVESTIGATIONS IN A HIERARCHICALLY STRUCTURED ENVIRONMENTJames L. McClelland, L. SternPreprint
2020
Learning Without Forgetting Approaches for Lifelong Robotic VisionZhengwei Wang, Eoin Brophy, T. WardPreprint
2020
Lifelong Learning of Neural Networks: Detecting Novelty and Adapting to New Domains without ForgettingMarc MasanaPreprint
2020
Robust Deep Learning in the Open World with Lifelong Learning and Representation LearningKibok LeePreprint
2020
Supplementary Material for Continual Learning Long Short Term MemoryK. BarnerPreprint
2020
Supplementary Material for Few-Shot Class-Incremental LearningXiaoyu Tao, Xiaopeng Hong, Xinyuan Chang … Peng ChengPreprint
2019
Attacking Lifelong Learning Models with Gradient ReversionYunhui Guo, Mingrui Liu, Yandong Li … Tajana RosingPreprint
2019
Discriminative Variational Autoencoder for Continual Learning with Generative ReplayWoo-Young Kang, Cheolho Han, Byoung-Tak ZhangPreprint
2019
Revisiting Gradient Episodic Memory for Continual LearningZhiyi Chen, Tong LinPreprint
2019
Continual Learning via Principal Components ProjectionGyuhak Kim, Bing LiuPreprint
2019
Overcoming Catastrophic Forgetting via Hessian-free Curvature EstimatesLeonid Butyrev, G. Kontes, Christoffer Loeffler, Christopher MutschlerPreprint
2019
Continual Learning using the SHDL Framework with Skewed Replay DistributionsAmarjot Singh, J. McclellandPreprint
2019
Continual Learning with Delayed FeedbackTheivendiram Pranavan, Terence SimPreprint
2019
Differentiable Hebbian Consolidation for Continual LearningVithursan Thangarasa, Thomas Miconi, Graham W. TaylorPreprint
2019
HIPPOCAMPAL NEURONAL REPRESENTATIONS IN CONTINUAL LEARNINGS. Mohinta, R. P. Costa, Stéphane CiocchiPreprint
2019
Minimizing Change in Classifier Likelihood to Mitigate Catastrophic ForgettingAshish Gaurav, Sachin Vernekar, Sean Sedwards … K. CzarneckiPreprint
2019
Prototype Recalls for Continual LearningMengmi Zhang, Tao Wang, J. Lim, Jiashi FengPreprint
2019
Task-agnostic Continual Learning via Growing Long-Term Memory NetworksGermán Kruszewski, Ionut-Teodor Sorodoc, Tomas MikolovPreprint
2019
Scalable and Order-robust Continual Learning with Hierarchically Decomposed Networks.J. Kirkpatrick, Razvan Pascanu, Neil C. Rabinowitz … Guillaume DesjardinsPreprint
2019
Deep lifelong reinforcement learning for resilient control and coordinationSeungwon Lee, James Stokes, Eric EatonPreprint
2011
Resolving Environmental ConflictsChris Maser, Lynette de SilvaPreprint · Oregon State University
2019
Integrating New Knowledge into a Neural Network without Catastrophic Interference: Computational and Theoretical Investigations in a Hierarchically Structured EnvironmentJames L. McClellandPreprint
2019
Continual Learning Using World Models for Pseudo-RehearsalNicholas A. Ketz, Soheil Kolouri, Praveen K. PillyPreprint
2019
On Tiny Episodic Memories in Continual LearningArslan Chaudhry, Marcus Rohrbach, Mohamed Elhoseiny … M. RanzatoPreprint
2019
Functional Regularisation for Continual LearningMichalis K. Titsias, Jonathan Schwarz, A. G. Matthews … Y. TehPreprint
2019
Differentiable Hebbian Plasticity for Continual LearningVithursan Thangarasa, Thomas Miconi, Graham W. TaylorPreprint

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.