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Using neural networks in practical settings would benefit from the ability of the networks to learn new tasks throughout their lifetimes without forgetting the previous tasks.
Catastrophic interference in connectionist networks: The sequential learning problem
M. McCloskey and N. J. Cohen · 1989
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Catastrophic interference in connectionist networks: The sequential learning problem
R. Ratcliff · 1990
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Catastrophic forgetting in connectionist networks
R. M. French · 1999
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Compete to compute
R. K. Srivastava, J. Masci, S. Kazerounian, F. Gomez, and J. Schmidhuber · 2013
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An empirical investigation of catastrophic forgetting in gradient-based neural networks
I. J. Goodfellow, M. Mirza, D. Xiao, A. Courville, and Y. Bengio · 2014
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Controlling recurrent neural networks by conceptors
H. Jaeger · 2014
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Learning to learn by gradient descent by gradient descent
M. Andrychowicz, M. Denil, S. G o ` \grave{o} mez, M. W. Hoffman, D. Pfau, T. Schaul, and N. de Freitas · 2016
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A. A. Rusu, N. C. Rabinowitz, G. Desjardins, H. Soyer, J. Kirkpatrick, K. Kavukcuoglu, R. Pascanu, and R. Hadsell · 2016
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Memory aware synapses: Learning what (not) to forget
R. Aljundi, F. Babiloni, M. Elhoseiny, M. Rohrbach, and T. Tuytelaars · 2017
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Model-agnostic meta-learning for fast adaptation of deep networks
C. Finn, P. Abbeel, and S. Levine · 2017
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Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick, R. Pascanu, N. Rabinowitz, J. Veness, G. Desjardins, A. A. Rusu, K. Milan, J. Quan, T. Ramalho, A. Grabska-Barwinska, D. Hassabis, C. Clopath, D. Kumaran, and R. Hadsell · 2017
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Overcoming catastrophic forgetting by incremental moment matching
S.-W. Lee, J.-H. Kim, J. Jun, J.-W. Ha, and B.-T. Zhang · 2017
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Learning to optimize
K. Li and J. Malik · 2017
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Gradient episodic memory for continual learning
D. Lopez-Paz and M. A. Ranzato · 2017
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Learning gradient descent: Better generalization and longer horizons
K. Lv, S. Jiang, and J. Li · 2017
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Continual learning through synaptic intelligence
F. Zenke, B. Poole, and S. Ganguli · 2017
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Continuous adaptation via meta-learning in nonstationary and competitive environments
M. Al-Shedivat, T. Bansal, Y. Burda, I. Sutskever, I. Mordatch, and P. Abbeel · 2018
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On first-order meta-learning algorithms
J. S. Alex Nichol, Joshua Achiam · 2018
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Overcoming catastrophic interference using conceptor-aided backpropagation
X. He and H. Jaeger · 2018
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Fearnet: Brain-inspired model for incremental learning
R. Kemker and C. Kanan · 2018
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Online learning of a memory for learning rates
F. Meier, D. Kappler, and S. Schaal · 2018
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iCaRL: Incremental classifier and representation learning
S.-A. Rebuffi, A. Kolesnikov, G. Sperl, and C. H. Lampert · 2017
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Continual learning with deep generative replay
H. Shin, J. K. Lee, J. Kim, and J. Kim · 2017
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Encoder based lifelong learning
A. R. Triki, R. Aljundi, M. B. Blaschko, and T. Tuytelaars · 2017
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Variational continual learning
C. V. Nguyen, Y. Li, T. D. Bui, and R. E. Turner · 2018
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Memory-based parameter adaptation
P. Sprechmann, S. Jayakumar, J. Rae, A. Pritzel, A. P. Badia, B. Uria, O. Vinyals, D. Hassabis, R. Pascanu, and C. Blundell · 2018
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Lifelong learning with dynamically expandable networks
J. Yoon, E. Yang, J. Lee, and S. J. Hwang · 2018
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