most citedAn Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning

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cs.LG2018

Recurrent Attention Unit

Guoqiang Zhong, Guohua Yue, Xiao Ling

Recurrent Neural Network (RNN) has been successfully applied in many sequence learning problems. Such as handwriting recognition, image description, natural language processing and…

cs.LG2016★ 2 cited

An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning

Guoqiang Zhong, Li-Na Wang, Junyu Dong

Since about 100 years ago, to learn the intrinsic structure of data, many representation learning approaches have been proposed, including both linear ones and nonlinear ones, supe…