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In this paper, we address the incremental classifier learning problem, which suffers from catastrophic forgetting.
Catastrophic interference in connectionist networks: The sequential learning problem
M. McCloskey and N. J.Cohen · 1989
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Incremental and decremental support vector machine learning
G. Cauwenberghs and T. Poggio · 2001
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Learn++: An incremental learning algorithm for supervised neural networks
R. Polikar, L. Upda, S. S. Upda, and V. Honavar · 2001
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Automated flower classification over a large number of classes
M.-E. Nilsback and A. Zisserman · 2008
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Learning multiple layers of features from tiny images
A. Krizhevsky and G. Hinton · 2009
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From n to n+ 1: Multiclass transfer incremental learning
I. Kuzborskij, F. Orabona, and B. Caputo · 2013
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Distance-based image classification: Generalizing to new classes at near-zero cost
T. Mensink, J. Verbeek, F. Perronnin, and G. Csurka · 2013
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Conditional generative adversarial nets
S. O. Mehdi Mirza · 2014
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T. Xiao, J. Zhang, K. Yang, Y. Peng, and Z. Zhang · 2014
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Distilling the knowledge in a neural network
G. Hinton, O. Vinyals, and J. Dean · 2015
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Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2015
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Imagenet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al · 2015
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Tensorflow: Large-scale machine learning on heterogeneous distributed systems
M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, et al · 2016
Learning without forgetting
Z. Li and D. Hoiem · 2016
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Wasserstein generative adversarial networks
M. Arjovsky, S. Chintala, and L. Bottou · 2017
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One-shot face recognition by promoting underrepresented classes
Y. Guo and L. Zhang · 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, et al · 2017
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Gradient episodic memory for continual learning
D. Lopez-Paz et al · 2017
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Conditional image synthesis with auxiliary classifier gans
A. Odena, C. Olah, and J. Shlens · 2017
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MS-Celeb-1M: A dataset and benchmark for large scale face recognition
Y. Guo, L. Zhang, Y. Hu, X. He, and J. Gao · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Less-forgetting learning in deep neural networks
H. Jung, J. Ju, M. Jung, and J. Kim · 2016
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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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Incremental learning of object detectors without catastrophic forgetting
K. Shmelkov, C. Schmid, and K. Alahari · 2017
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