A Novel Continual Learning Approach for Competitive Neural Networks

Author:

Palomo Esteban J.ORCID,Ortiz-de-Lazcano-Lobato Juan MiguelORCID,Fernández-Rodríguez José DavidORCID,López-Rubio EzequielORCID,Maza-Quiroga Rosa MaríaORCID

Publisher

Springer International Publishing

Reference18 articles.

1. Hadsell, R., Rao, D., Rusu, A.A., Pascanu, R.: Embracing change: continual learning in deep neural networks. Trends Cogn. Sci. 24(12), 1028–1040 (2020)

2. Rao, D., Visin, F., Rusu, A.A., Teh, Y.W., Pascanu, R., Hadsell, R.: Continual unsupervised representation learning. In: Advances in Neural Information Processing Systems, vol. 32. Neural Information Processing Systems Foundation, October 2019

3. Mermillod, M., Bugaiska, A., Bonin, P.: The stability-plasticity dilemma: investigating the continuum from catastrophic forgetting to age-limited learning effects. Front. Psychol. 4, 504 (2013)

4. McCloskey, M., Cohen, N.J.: Catastrophic interference in connectionist networks: the sequential learning problem. In: Psychology of Learning and Motivation - Advances in Research and Theory, vol. 24, no. C, pp. 109–165, January 1989

5. Goodfellow, I.J., Mirza, M., Xiao, D., Courville, A., Bengio, Y.: An empirical investigation of catastrophic forgetting in gradient-based neural networks. In: 2nd International Conference on Learning Representations, ICLR 2014 - Conference Track Proceedings. International Conference on Learning Representations, ICLR, December 2014

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