Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic Memory

european conference on principles of data mining and knowledge discovery, pp. 677-693, 2020.

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Abstract:

The effectiveness of recurrent neural networks can be largely influenced by their ability to store into their dynamical memory information extracted from input sequences at different frequencies and timescales. Such a feature can be introduced into a neural architecture by an appropriate modularization of the dynamic memory. In this paper...More

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