260 citations · 755 across the 21 of their papers we have counts for
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cs.CL2017
Simple Recurrent Units for Highly Parallelizable Recurrence
Tao Lei, Yu Zhang, Sida I. Wang +2
Common recurrent neural architectures scale poorly due to the intrinsic difficulty in parallelizing their state computations. In this work, we propose the Simple Recurrent Unit (SR…
cs.CL2017
Naturalizing a Programming Language via Interactive Learning
Sida I. Wang, Samuel Ginn, Percy Liang +1
Our goal is to create a convenient natural language interface for performing well-specified but complex actions such as analyzing data, manipulating text, and querying databases. H…
cs.LG2017★ 173 cited
Data Noising as Smoothing in Neural Network Language Models
Ziang Xie, Sida I. Wang, Jiwei Li +4
Data noising is an effective technique for regularizing neural network models. While noising is widely adopted in application domains such as vision and speech, commonly used noisi…