most citedEvolving Character-level Convolutional Neural Networks for Text Classification

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2020

Evolving Character-Level DenseNet Architectures using Genetic Programming

Trevor Londt, Xiaoying Gao, Peter Andreae

DenseNet architectures have demonstrated impressive performance in image classification tasks, but limited research has been conducted on using character-level DenseNet (char-Dense…

cs.CL2020★ 5 cited

Evolving Character-level Convolutional Neural Networks for Text Classification

Trevor Londt, Xiaoying Gao, Bing Xue +1

Character-level convolutional neural networks (char-CNN) require no knowledge of the semantic or syntactic structure of the language they classify. This property simplifies its imp…