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Catastrophic forgetting (CF) happens whenever a neural network overwrites past knowledge while being trained on new tasks.
Catastrophic interference in connectionist networks: The sequential learning problem
McCloskey, M. and Cohen, N. J · 1989
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Connectionist models of recognition memory: constraints imposed by learning and forgetting functions
Roger, R · 1990
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Catastrophic forgetting, rehearsal and pseudorehearsal
Robins, A · 1995
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Lifelong robot learning
Thrun, S. and Mitchell, T · 1995
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Catastrophic forgetting in connectionist networks
French, R. M · 1999
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Learning multiple layers of features from tiny images, 2009
Krizhevsky, A · 2009
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Density estimation by dual ascent of the log-likelihood
Tabak, E. G. and Vanden-Eijnden, E · 2010
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Reading digits in natural images with unsupervised feature learning
Netzer, Y., Wang, T., Coates, A., Bissacco, A., Wu, B., and Ng, A. Y · 2011
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A family of nonparametric density estimation algorithms
Tabak, E. G. and Turner, C. V · 2012
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NICE: Non-linear independent components estimation
Dinh, L., Krueger, D., and Bengio, Y · 2014
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Adam: A method for stochastic optimization
Kingma, D. P. and Ba, J · 2014
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Variational inference with normalizing flows
Rezende, D. and Mohamed, S · 2015
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Why regularized auto-encoders learn sparse representation?
Arpit, D., Zhou, Y., Ngo, H., and Govindaraju, V · 2016
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Density estimation using Real NVP
Dinh, L., Sohl-Dickstein, J., and Bengio, S · 2016
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Improved variational inference with inverse autoregressive flow
Kingma, D. P., Salimans, T., Jozefowicz, R., Chen, X., Sutskever, I., and Welling, M · 2016
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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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Overcoming catastrophic forgetting in neural networks
Kirkpatrick, J., Pascanu, R., Rabinowitz, N., Veness, J., Desjardins, G., Rusu, A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., Hassabis, D., Clopath, C., Kumaran, D., and Hadsell, R · 2017
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Learning without forgetting
Li, Z. and Hoiem, D · 2017
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Task-free continual learning
Aljundi, R., Kelchtermans, K., and Tuytelaars, T · 2019
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Efficient lifelong learning with A-GEM
Chaudhry, A., Ranzato, M., Rohrbach, M., and Elhoseiny, M · 2019
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Auto-embedding generative adversarial networks for high resolution image synthesis
Guo, Y., Chen, Q., Chen, J., Wu, Q., Shi, Q., and Tan, M · 2019
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Continuous learning in single-incremental-task scenarios
Maltoni, D. and Lomonaco, V · 2019
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Normalizing flows for probabilistic modeling and inference
Papamakarios, G., Nalisnick, E., Rezende, D. J., Mohamed, S., and Lakshminarayanan, B · 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
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Gradient episodic memory for continual learning
Lopez-Paz, D. and Ranzato, M · 2017
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Continual learning with deep generative replay
Shin, H., Lee, J., Kim, J., and Kim, J · 2017
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Continual learning through synaptic intelligence
Zenke, F., Poole, B., and Ganguli, S · 2017
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Deep learning for classical japanese literature
Clanuwat, T., Bober-Irizar, M., Kitamoto, A., Lamb, A., Yamamoto, K., and Ha, D · 2018
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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
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Glow: Generative flow with invertible 1x1 convolutions
Kingma, D. and Dhariwal, P · 2018
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Overcoming catastrophic forgetting with hard attention to the task
Serra, J., Suris, D., Miron, M., and Karatzoglou, A · 2018
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Continual unsupervised representation learning
Rao, D., Visin, F., Rusu, A., Pascanu, R., Teh, Y., and Hadsell, R · 2019
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Learning likelihoods with conditional normalizing flows
Winkler, C., Worrall, D., Hoogeboom, E., and Welling, M · 2019
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Adversarial continual learning
Ebrahimi, S., Meier, F., Calandra, R., Darrell, T., and Rohrbach, M · 2020
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Discriminative variational autoencoder for continual learning with generative replay, 2020
Kang, W., Cheol-Ho, H., and Byoung-Tak, Z · 2020
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Normalizing Flows: an introduction and review of current methods
Kobyzev, I., Prince, S., and Brubaker, M. A · 2020
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Efficient continual learning in neural networks with embedding regularization
Pomponi, J., Scardapane, S., Lomonaco, V., and Uncini, A · 2020
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