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A novel continual learning approach for competitive neural networks
dc.contributor.author | Fernández Rodríguez, José David | |
dc.contributor.author | Maza Quiroga, Rosa María | |
dc.contributor.author | Palomo-Ferrer, Esteban José | |
dc.contributor.author | Ortiz-de-Lazcano-Lobato, Juan Miguel | |
dc.contributor.author | López-Rubio, Ezequiel | |
dc.date.accessioned | 2022-06-14T10:11:20Z | |
dc.date.available | 2022-06-14T10:11:20Z | |
dc.date.created | 2022-06-14 | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://hdl.handle.net/10630/24361 | |
dc.description.abstract | Continual learning tries to address the stability-plasticity dilemma to avoid catastrophic forgetting when dealing with non-stationary distributions. Prior works focused on supervised or reinforcement learning, but few works have considered continual learning for unsupervised learning methods. In this paper, a novel approach to provide continual learning for competitive neural networks is proposed. To this end, we have proposed a different learning rate function that can cope with non-stationary distributions by adapting the model to learn continuously. Experimental results performed with different synthetic images that change over time confirm the performance of our proposal. | es_ES |
dc.description.sponsorship | Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech | es_ES |
dc.language.iso | eng | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.subject | Redes neuronales (Informática) | es_ES |
dc.subject | Aprendizaje automático (Inteligencia artificial) | es_ES |
dc.subject | Aprendizaje | es_ES |
dc.subject.other | Continual learning | es_ES |
dc.subject.other | Unsupervised learning | es_ES |
dc.subject.other | Competitive neural networks | es_ES |
dc.title | A novel continual learning approach for competitive neural networks | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.centro | E.T.S.I. Informática | es_ES |
dc.relation.eventtitle | 9th International Work-Conference on the Interplay Between Natural and Artificial Computation | es_ES |
dc.relation.eventplace | Puerto de la Cruz (Tenerife), España | es_ES |
dc.relation.eventdate | 31 mayo /2022 | es_ES |