Continual learning for recurrent neural networks: An empirical evaluation

Andrea Cossu; Antonio Carta; Vincenzo Lomonaco; Davide Bacciu

doi:10.1016/j.neunet.2021.07.021

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JOURNAL ARTICLE

Continual learning for recurrent neural networks: An empirical evaluation

Andrea Cossu Antonio Carta Vincenzo Lomonaco Davide Bacciu

Year: 2021 Journal: Neural Networks Vol: 143 Pages: 607-627 Publisher: Elsevier BV

DOI: 10.1016/j.neunet.2021.07.021

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Keywords:

Computer science Forgetting Artificial intelligence Machine learning Artificial neural network Key (lock) Recurrent neural network Categorization Deep learning

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Data Stream Mining Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Continual learning for recurrent neural networks: An empirical evaluation

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