most citedUsing Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.LG2018★ 4 cited

Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures

Abhijit Mahalunkar, John D. Kelleher

The presence of Long Distance Dependencies (LDDs) in sequential data poses significant challenges for computational models. Various recurrent neural architectures have been designe…