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One of the key differences between the learning mechanism of humans and Artificial Neural Networks (ANNs) is the ability of humans to learn one task at a time.
Catastrophic interference in connectionist networks: The sequential learning problem
McCloskey, M., Cohen, N.J.: · 1989
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Catastrophic interference in connectionist networks: Can it be predicted, can it be prevented?
French, R.M.: · 1994
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Avoiding catastrophic forgetting by coupling two reverberating neural networks
Ans, B., Rousset, S.: · 1997
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Catastrophic forgetting in connectionist networks
French, R.M.: · 1999
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Model compression
Buciluǎ, C., Caruana, R., Niculescu-Mizil, A.: · 2006
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Learning multiple layers of features from tiny images
Krizhevsky, A., Hinton, G.: · 2009
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icarl: Incremental classifier and representation learning
Rebuffi, S.A., Kolesnikov, A., Sperl, G., Lampert, C.H.: · 2010
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Metric learning for large scale image classification: Generalizing to new classes at near-zero cost
Mensink, T., Verbeek, J., Perronnin, F., Csurka, G.: · 2012
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An empirical investigation of catastrophic forgetting in gradient-based neural networks
Goodfellow, I.J., Mirza, M., Xiao, D., Courville, A., Bengio, Y.: · 2013
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Attribute-based classification for zero-shot visual object categorization
Lampert, C.H., Nickisch, H., Harmeling, S.: · 2014
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Learning and transferring mid-level image representations using convolutional neural networks
Oquab, M., Bottou, L., Laptev, I., Sivic, J.: · 2014
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Error-driven incremental learning in deep convolutional neural network for large-scale image classification
Xiao, T., Zhang, J., Yang, K., Peng, Y., Zhang, Z.: · 2014
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Retrieval induces adaptive forgetting of competing memories via cortical pattern suppression
Wimber, M., Alink, A., Charest, I., Kriegeskorte, N., Anderson, M.C.: · 2015
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Distilling the knowledge in a neural network
Hinton, G., Vinyals, O., Dean, J.: · 2015
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A strategy for an uncompromising incremental learner
Venkatesan, R., Venkateswara, H., Panchanathan, S., Li, B.: · 2017
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Encoder based lifelong learning
Rannen Triki, A., Aljundi, R., Blaschko, M.B., Tuytelaars, T.: · 2017
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Improved multitask learning through synaptic intelligence
Zenke, F., Poole, B., Ganguli, S.: · 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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He, K., Zhang, X., Ren, S., Sun, J.: · 2015
Cited alongside, same era.
Rusu, A.A., Rabinowitz, N.C., Desjardins, G., Soyer, H., Kirkpatrick, J., Kavukcuoglu, K., Pascanu, R., Hadsell, R.: · 2016
Cited alongside, same era.
Learning without forgetting
Li, Z., Hoiem, D.: · 2017
Cited alongside, same era.
Gradient episodic memory for continual learning
Lopez-Paz, D., et al.: · 2017
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The mnist database of handwritten digits
LeCun, Y.:
Cited in the paper.
Kemker, R., Kanan, C.: · 2017
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Automatic differentiation in pytorch
Paszke, A., Gross, S., Chintala, S., Chanan, G., Yang, E., DeVito, Z., Lin, Z., Desmaison, A., Antiga, L., Lerer, A.: · 2017
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A systematic study of the class imbalance problem in convolutional neural networks
Buda, M., Maki, A., Mazurowski, M.A.: · 2017
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Incremental classifier learning with generative adversarial networks
Wu, Y., Chen, Y., Wang, L., Ye, Y., Liu, Z., Guo, Y., Zhang, Z., Fu, Y.: · 2018
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