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Continual Learning (CL) algorithms incrementally learn a predictor or representation across multiple sequentially observed tasks.
Time series analysis in 1880: A discussion of contributions made by T.N. Thiele
Lauritzen, S. L · 1981
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Catastrophic interference in connectionist networks: The sequential learning problem
McCloskey, M. and Cohen, N. J · 1989
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A Bayesian approach to on-line learning
Opper, M. and Winther, O · 1998
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On-line variational Bayesian learning
Honkela, A. and Valpola, H · 2003
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On the frontiers of polynomial computations in tropical geometry
Theobald, T · 2006
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Streaming variational Bayes
Broderick, T., Boyd, N., Wibisono, A., Wilson, A. C., and Jordan, M. I · 2013
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The population posterior and Bayesian modeling on streams
McInerney, J., Ranganath, R., and Blei, D · 2015
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Rusu, A. A., Rabinowitz, N. C., Desjardins, G., Soyer, H., Kirkpatrick, J., Kavukcuoglu, K., Pascanu, R., and Hadsell, R · 2016
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Deep generative dual memory network for continual learning
Kamra, N., Gupta, U., and Liu, Y · 2017
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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
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Gradient episodic memory for continual learning
Lopez-Paz, D. and Ranzato, M · 2017
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Variational continual learning
Nguyen, C. V., Li, Y., Bui, T. D., and Turner, R. E · 2017
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icarl: Incremental classifier and representation learning
Rebuffi, S.-A., Kolesnikov, A., Sperl, G., and Lampert, C. H · 2017
Cited alongside, same era.
Continual learning with deep generative replay
Shin, H., Lee, J. K., Kim, J., and Kim, J · 2017
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Continual learning through synaptic intelligence
Zenke, F., Poole, B., and Ganguli, S · 2017
Cited alongside, same era.
Online structured Laplace approximations for overcoming catastrophic forgetting
Ritter, H., Botev, A., and Barber, D · 2018
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Progress & compress: A scalable framework for continual learning
Schwarz, J., Luketina, J., Czarnecki, W. M., Grabska-Barwinska, A., Teh, Y. W., Pascanu, R., and Hadsell, R · 2018
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Natural variational continual learning
Tseran, H., Khan, M. E., Harada, T., and Bui, T. D · 2018
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Fine-grained continual learning
Lomonaco, V., Maltoni, D., and Pellegrini, L · 2019
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Continual multi-task Gaussian processes
Moreno-Munoz, P., Artés-Rodriguez, A., and A. Álvarez, M · 2019
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Riemannian walk for incremental learning: Understanding forgetting and intransigence
Chaudhry, A., Dokania, P. K., Ajanthan, T., and Torr, P. H · 2018
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Continual learning in practice
Diethe, T., Borchert, T., Thereska, E., Pigem, B. d. B., and Lawrence, N · 2018
Cited alongside, same era.
A unifying Bayesian view of continual learning
Farquhar, S. and Gal, Y · 2018
Cited alongside, same era.
On the hardness of computing intersection, union and Minkowski sum of polytopes
Tiwary, H. R
Cited in the paper.
Complexity of some polyhedral enumeration problems
Tiwary, H. R
Cited in the paper.
Continual lifelong learning with neural networks: A review
Parisi, G. I., Kemker, R., Part, J. L., Kanan, C., and Wermter, S · 2019
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Experience replay for continual learning
Rolnick, D., Ahuja, A., Schwarz, J., Lillicrap, T., and Wayne, G · 2019
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Functional regularisation for continual learning using gaussian processes
Titsias, M. K., Schwarz, J., Matthews, A. G. d. G., Pascanu, R., and Teh, Y. W · 2019
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Three scenarios for continual learning
van de Ven, G. M. and Tolias, A. S · 2019
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