One Step Back, Two Steps Forward: Interference and Learning in Recurrent Neural Networks

DOI10.1162/neco_a_01222zbMath1429.92009arXiv1805.09603OpenAlexW2968924973WikidataQ92497772 ScholiaQ92497772MaRDI QIDQ5214386

Chen Beer, Omri Barak

Publication date: 7 February 2020

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1805.09603

zbMATH Keywords

learningrecurrent neural networks

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Memory and learning in psychology (91E40)

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Cites Work

• Unnamed Item
• Large-Scale Machine Learning with Stochastic Gradient Descent
• Overcoming catastrophic forgetting in neural networks
• Opening the Black Box: Low-Dimensional Dynamics in High-Dimensional Recurrent Neural Networks

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