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Found 2 papers, 2 papers with code
Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks
We show that by either decomposing the network into independent modules or learning the network in stages, we can make RTRL scale linearly with the number of parameters.
Scalable Online Recurrent Learning Using Columnar Neural Networks
We empirically show that as long as connections between columns are sparse, our method approximates the true gradient well.
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