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.

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2019 Preprint Clear all

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
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
2019
Meta-analysis of Continual LearningCuong V Nguyen, A. Achille, Michael Lam … Stefano SoattoPreprint
2019
A study on sequential iterative learning for overcoming catastrophic forgetting phenomenon of artificial neural network 1Dong-Bin Choi, Young B. ParkPreprint
2019
Continual Learning: The Next Generation of Artificial IntelligenceDaniel PhilpsPreprint
2019
A HYBRID DEEP CNN MODEL FOR FAST CLASS-INCREMENTAL FOOD CLASSIFICATION AYMEN TAHER AHMED AL-ASHWAL FACULTY OF COMPUTER SCIENCE AND INFORMATION TECHNOLOGY UNIVERSITY OF MALAYAK. LumpurPreprint
2019
Avoiding Catastrophic Forgetting in Safety GridworldCarl Edwards, Brandon MathisPreprint
2019
C ONTINUAL D ENSITY R ATIO E STIMATION (CDRE): A NEW METHOD FOR EVALUATING GENERATIVE MOD - ELS IN CONTINUAL LEARNINGAuthors pendingPreprint
2019
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations Supplementary MaterialAlexander G. Ororbia, A. Mali, C. L. Giles, Daniel KiferPreprint
2019
Efﬁcient Continual Learning with Latent RehearsalGabriele Grafﬁeti, Lorenzo Pellegrini, V. Lomonaco, D. MaltoniPreprint
2019
Enabling Continual Learning in Neural Networks with Meta LearningAuthors pendingPreprint
2019
Supplementary Material for ”IL2M: Class Incremental Learning With Dual Memory”Eden BelouadahPreprint
2019
Supplementary Material for: Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question AnsweringClaudio Greco, R. FernándezPreprint
2019
Task-Free Continual Learning Supplementary MaterialsRahaf Aljundi, Klaas KelchtermansPreprint
2019
Visual recognition in the wild: learning from rankings in small domains and continual learning in new domainsXia-Lei LiuPreprint

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.