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The ability of a model to learn continually can be empirically assessed in different continual learning scenarios.
Catastrophic interference in connectionist networks: The sequential learning problem
McCloskey, M. and Cohen, N. J. (1989) · 1989
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Learning without Forgetting
Li, Z. and Hoiem, D. (2016) · 2016
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Semi-supervised tuning from temporal coherence
Maltoni, D. and Lomonaco, V. (2016) · 2016
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Progressive Neural Networks
Rusu, A. A., Rabinowitz, N. C., Desjardins, G., Soyer, H., Kirkpatrick, J., Kavukcuoglu, K., et al. (2016) · 2016
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CORe50: A New Dataset and Benchmark for Continuous Object Recognition
Lomonaco, V. and Maltoni, D. (2017) · 2017
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Gradient Episodic Memory for Continual Learning
Lopez-Paz, D. and Ranzato, M. (2017) · 2017
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iCaRL: Incremental Classifier and Representation Learning
Rebuffi, S.-A., Kolesnikov, A., Sperl, G., and Lampert, C. H. (2017) · 2017
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Don’t forget, there is more than forgetting: New metrics for Continual Learning
Díaz-Rodríguez, N., Lomonaco, V., Filliat, D., and Maltoni, D. (2018) · 2018
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Three scenarios for continual learning
van de Ven, G. M. and Tolias, A. S. (2018) · 2018
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Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges
Lesort, T., Lomonaco, V., Stoian, A., Maltoni, D., Filliat, D., and Díaz-Rodríguez, N. (2020) · 2019
Cited alongside, same era.
Continuous Learning in Single-Incremental-Task Scenarios
Maltoni, D. and Lomonaco, V. (2019) · 2019
Cited alongside, same era.
Continual lifelong learning with neural networks: A review
Parisi, G. I., Kemker, R., Part, J. L., Kanan, C., and Wermter, S. (2019) · 2019
Cited alongside, same era.
Incremental Object Learning From Contiguous Views
Stojanov, S., Mishra, S., Thai, N. A., Dhanda, N., Humayun, A., Yu, C., et al. (2019) · 2019
Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
Lomonaco, V., Maltoni, D., and Pellegrini, L. (2020) · 2020
Later among the works it cites.
Brain-inspired replay for continual learning with artificial neural networks
van de Ven, G. M., Siegelmann, H. T., and Tolias, A. S. (2020) · 2020
Later among the works it cites.
Continual learning for recurrent neural networks: An empirical evaluation
Cossu, A., Carta, A., Lomonaco, V., and Bacciu, D. (2021) · 2021
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A continual learning survey: Defying forgetting in classification tasks
De Lange, M., Aljundi, R., Masana, M., Parisot, S., Jia, X., Leonardis, A., et al. (2021) · 2021
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Avalanche: An End-to-End Library for Continual Learning
Lomonaco, V., Pellegrini, L., Cossu, A., Carta, A., Graffieti, G., Hayes, T. L., et al. (2021) · 2021
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Does Continual Learning = Catastrophic Forgetting?
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Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams
De Lange, M. and Tuytelaars, T. (2020) · 2020
Cited alongside, same era.
Online Continual Learning with Maximal Interfered Retrieval
Aljundi, R., Belilovsky, E., Tuytelaars, T., Charlin, L., Caccia, M., Lin, M., et al. (2019a)
Cited in the paper.
Task-Free Continual Learning
Aljundi, R., Kelchtermans, K., and Tuytelaars, T. (2019b)
Cited in the paper.
Thai, A., Stojanov, S., Rehg, I., and Rehg, J. M. (2021) · 2021
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