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As image-based deep learning becomes pervasive on every device, from cell phones to smart watches, there is a growing need to develop methods that continually learn from data while minimizing memory footprint and power consumption.
Continual learning: A comparative study on how to defy forgetting in classification tasks
De Lange, M.; Aljundi, R.; Masana, M.; Parisot, S.; Jia, X.; Leonardis, A.; Slabaugh, G.; and Tuytelaars, T. 2019 · 1909
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Regularization Shortcomings for Continual Learning
Lesort, T.; Stoian, A.; and Filliat, D. 2019 · 1912
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A value for n-person games
Shapley, L. S. 1953 · 1953
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The Shapley value: essays in honor of Lloyd S. Shapley
Roth, A. E. 1988 · 1988
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Catastrophic interference in connectionist networks: The sequential learning problem
McCloskey, M.; and Cohen, N. J. 1989 · 1989
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Visualizing Data using t-SNE
van der Maaten, L.; and Hinton, G. 2008 · 2008
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Learning Multiple Layers of Features from Tiny Images
Krizhevsky, A. 2009 · 2009
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A Deep Non-Linear Feature Mapping for Large-Margin KNN Classification
Min, R.; Stanley, D. A.; Yuan, Z.; Bonner, A.; and Zhang, Z. 2009 · 2009
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icarl: Incremental classifier and representation learning
Rebuffi, S.-A.; Kolesnikov, A.; Sperl, G.; and Lampert, C. H. 2017 · 2010
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DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Donahue, J.; Jia, Y.; Vinyals, O.; Hoffman, J.; Zhang, N.; Tzeng, E.; and Darrell, T. 2014 · 2014
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Learning Without Forgetting
Li, Z.; and Hoiem, D. 2016 · 2016
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Matching Networks for One Shot Learning
Vinyals, O.; Blundell, C.; Lillicrap, T.; kavukcuoglu, k.; and Wierstra, D. 2016 · 2016
Cited alongside, same era.
Stabilising experience replay for deep multi-agent reinforcement learning
Foerster, J.; Nardelli, N.; Farquhar, G.; Afouras, T.; Torr, P. H.; Kohli, P.; and Whiteson, S. 2017 · 2017
Cited alongside, same era.
Overcoming catastrophic forgetting in neural networks
Kirkpatrick, J.; Pascanu, R.; Rabinowitz, N.; Veness, J.; Desjardins, G.; Rusu, A. A.; Milan, K.; Quan, J.; Ramalho, T.; Grabska-Barwinska, A.; et al. 2017 · 2017
Cited alongside, same era.
Gradient Episodic Memory for Continual Learning
Lopez-Paz, D.; and Ranzato, M. A. 2017 · 2017
Cited alongside, same era.
Encoder based lifelong learning
Rannen, A.; Aljundi, R.; Blaschko, M. B.; and Tuytelaars, T. 2017 · 2017
Cited alongside, same era.
Continual learning with deep generative replay
Shin, H.; Lee, J. K.; Kim, J.; and Kim, J. 2017 · 2017
Online structured laplace approximations for overcoming catastrophic forgetting
Ritter, H.; Botev, A.; and Barber, D. 2018 · 2018
Later among the works it cites.
Lifelong Learning with Dynamically Expandable Networks
Yoon, J.; Yang, E.; Lee, J.; and Hwang, S. J. 2018 · 2018
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Data Shapley: Equitable Valuation of Data for Machine Learning
Ghorbani, A.; and Zou, J. 2019 · 2019
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Generative models from the perspective of continual learning
Lesort, T.; Caselles-Dupré, H.; Garcia-Ortiz, M.; Stoian, A.; and Filliat, D. 2019 · 2019
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Continual lifelong learning with neural networks: A review
Parisi, G. I.; Kemker, R.; Part, J. L.; Kanan, C.; and Wermter, S. 2019 · 2019
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Learning to Learn without Forgetting vy Maximizing Transfer and Minimizing Interference
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Cited alongside, same era.
Continual learning through synaptic intelligence
Zenke, F.; Poole, B.; and Ganguli, S. 2017 · 2017
Cited alongside, same era.
Memory aware synapses: Learning what (not) to forget
Aljundi, R.; Babiloni, F.; Elhoseiny, M.; Rohrbach, M.; and Tuytelaars, T. 2018 · 2018
Cited alongside, same era.
Riemannian walk for incremental learning: Understanding forgetting and intransigence
Chaudhry, A.; Dokania, P. K.; Ajanthan, T.; and Torr, P. H. 2018 · 2018
Cited alongside, same era.
Towards robust evaluations of continual learning
Farquhar, S.; and Gal, Y. 2018 · 2018
Cited alongside, same era.
Packnet: Adding multiple tasks to a single network by iterative pruning
Mallya, A.; and Lazebnik, S. 2018 · 2018
Cited alongside, same era.
Online Continual Learning with Maximal Interfered Retrieval
Aljundi, R.; Belilovsky, E.; Tuytelaars, T.; Charlin, L.; Caccia, M.; Lin, M.; and Page-Caccia, L. 2019a
Cited in the paper.
Reimer, M.; Cases, I.; Ajemian, R.; Liu, M.; Rish, I.; Tu, Y.; and Tesauro, G. 2019 · 2019
Later among the works it cites.
Experience replay for continual learning
Rolnick, D.; Ahuja, A.; Schwarz, J.; Lillicrap, T.; and Wayne, G. 2019 · 2019
Later among the works it cites.
Large scale incremental learning
Wu, Y.; Chen, Y.; Wang, L.; Ye, Y.; Liu, Z.; Guo, Y.; and Fu, Y. 2019 · 2019
Later among the works it cites.
Online Continual Learning from Imbalanced Data
Chrysakis, A.; and Moens, M.-F. 2020 · 2020
Closest in time.
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning
Lee, S.; Ha, J.; Zhang, D.; and Kim, G. 2020 · 2020
Closest in time.