Memory Aware Synapses: Learning what (not) to forget

McCloskey, M., Cohen, N.J.: Catastrophic interference in connectionist networks: The sequential learning problem. Psychology of learning and motivation

1989

Earlier work this paper cites.

Thrun, S., Mitchell, T.M.: Lifelong robot learning. Robotics and autonomous systems

1995

Earlier work this paper cites.

Ring, M.B.: Child: A first step towards continual learning. Machine Learning

1997

Earlier work this paper cites.

French, R.M.: Catastrophic forgetting in connectionist networks. Trends in cognitive sciences

1999

Earlier work this paper cites.

Hebb, D.: The organization of behavior. 1949. New York Wiely (2002)

2002

Earlier work this paper cites.

Nilsback, M.E., Zisserman, A.: Automated flower classification over a large number of classes. In: Proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing (Dec 2008)

2008

Earlier work this paper cites.

de Campos, T.E., Babu, B.R., Varma, M.: Character recognition in natural images. In: Proceedings of the International Conference on Computer Vision Theory and Applications, Lisbon, Portugal (February 2009)

2009

Earlier work this paper cites.

Quadrianto, N., Petterson, J., Smola, A.J.: Distribution matching for transduction. In: Advances in Neural Information Processing Systems. pp. 1500–1508 (2009)

2009

Earlier work this paper cites.

Quattoni, A., Torralba, A.: Recognizing indoor scenes. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 413–420. IEEE (2009)

2009

Earlier work this paper cites.

Welinder, P., Branson, S., Mita, T., Wah, C., Schroff, F., Belongie, S., Perona, P.: Caltech-UCSD Birds 200. Tech. Rep. CNS-TR-2010-001, California Institute of Technology (2010)

2010

Earlier work this paper cites.

Netzer, Y., Wang, T., Coates, A., Bissacco, A., Wu, B., Ng, A.Y.: Reading digits in natural images with unsupervised feature learning (2011)

2011

Earlier work this paper cites.

Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results. http://www.pascal-network.org/challenges/VOC/voc2012/workshop/index.html

2012

Earlier work this paper cites.

Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Pereira, F., Burges, C.J.C., Bottou, L., Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems 25, pp. 1097–1105. Curran Associates, Inc. (2012)

2012

Earlier work this paper cites.

Goodfellow, I.J., Mirza, M., Xiao, D., Courville, A., Bengio, Y.: An empirical investigation of catastrophic forgetting in gradient-based neural networks. arXiv preprint arXiv:1312.6211 (2013)

Original

2013

Cited alongside, same era.

Krause, J., Stark, M., Deng, J., Fei-Fei, L.: 3d object representations for fine-grained categorization. In: Proceedings of the IEEE International Conference on Computer Vision Workshops. pp. 554–561 (2013)

2013

Cited alongside, same era.

Maji, S., Kannala, J., Rahtu, E., Blaschko, M., Vedaldi, A.: Fine-grained visual classification of aircraft. Tech. rep. (2013)

2013

Cited alongside, same era.

Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)

Original

2013

Cited alongside, same era.

Kirkpatrick, J., Pascanu, R., Rabinowitz, N., Veness, J., Desjardins, G., Rusu, A.A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., et al.: Overcoming catastrophic forgetting in neural networks. arXiv preprint arXiv:1612.00796 (2016)

Original

2016

Later among the works it cites.

Li, Z., Hoiem, D.: Learning without forgetting. In: European Conference on Computer Vision. pp. 614–629. Springer (2016)

2016

Later among the works it cites.

Rebuffi, S.A., Kolesnikov, A., Lampert, C.H.: icarl: Incremental classifier and representation learning. arXiv preprint arXiv:1611.07725 (2016)

Original

2016

Later among the works it cites.

Rusu, A.A., Rabinowitz, N.C., Desjardins, G., Soyer, H., Kirkpatrick, J., Kavukcuoglu, K., Pascanu, R., Hadsell, R.: Progressive neural networks. arXiv preprint arXiv:1606.04671 (2016)

Original

2016

Later among the works it cites.