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Online continual learning (OCL) aims to train neural networks incrementally from a non-stationary data stream with a single pass through data.
Random sampling with a reservoir
J. S. Vitter · 1985
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Studies of mind and brain: Neural principles of learning, perception, development, cognition, and motor control , volume 70
S. T. Grossberg · 2012
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Matching networks for one shot learning
O. Vinyals, C. Blundell, T. Lillicrap, and D. Wierstra · 2016
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Learning without forgetting
Z. Li and D. Hoiem · 2017
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Gradient episodic memory for continual learning
D. Lopez-Paz and M. Ranzato · 2017
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Efficient lifelong learning with a-gem
A. Chaudhry, M. Ranzato, M. Rohrbach, and M. Elhoseiny · 2018
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Online continual learning with maximal interfered retrieval
R. Aljundi, E. Belilovsky, T. Tuytelaars, L. Charlin, M. Caccia, M. Lin, and L. Page-Caccia · 2019
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On tiny episodic memories in continual learning
A. Chaudhry, M. Rohrbach, M. Elhoseiny, T. Ajanthan, P. K. Dokania, P. H. Torr, and M. Ranzato · 2019
Cited alongside, same era.
Large scale incremental learning
Y. Wu, Y. Chen, L. Wang, Y. Ye, Z. Liu, Y. Guo, and Y. Fu · 2019
Cited alongside, same era.
Bootstrapped policy gradient for difficulty adaptation in intelligent tutoring systems
Y. Zhang and W.-B. Goh · 2019
Cited alongside, same era.
Dark experience for general continual learning: a strong, simple baseline
P. Buzzega, M. Boschini, A. Porrello, D. Abati, and S. Calderara · 2020
Cited alongside, same era.
A group-theoretic framework for data augmentation
S. Chen, E. Dobriban, and J. H. Lee · 2020
Cited alongside, same era.
Randaugment: Practical automated data augmentation with a reduced search space
Rainbow memory: Continual learning with a memory of diverse samples
J. Bang, H. Kim, Y. Yoo, J.-W. Ha, and J. Choi · 2021
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A continual learning survey: Defying forgetting in classification tasks
M. Delange, R. Aljundi, M. Masana, S. Parisot, X. Jia, A. Leonardis, G. Slabaugh, and T. Tuytelaars · 2021
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Supervised contrastive replay: Revisiting the nearest class mean classifier in online class-incremental continual learning
Z. Mai, R. Li, H. Kim, and S. Sanner · 2021
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Online class-incremental continual learning with adversarial shapley value
D. Shim, Z. Mai, J. Jeong, S. Sanner, H. Kim, and J. Jang · 2021
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Rehearsal revealed: The limits and merits of revisiting samples in continual learning
E. Verwimp, M. De Lange, and T. Tuytelaars · 2021
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E. D. Cubuk, B. Zoph, J. Shlens, and Q. V. Le · 2020
Cited alongside, same era.
Linear mode connectivity in multitask and continual learning
S. I. Mirzadeh, M. Farajtabar, D. Gorur, R. Pascanu, and H. Ghasemzadeh · 2020
Cited alongside, same era.
Online continual learning in image classification: An empirical survey
Z. Mai, R. Li, J. Jeong, D. Quispe, H. Kim, and S. Sanner · 2022
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