activity
20172019
most citedLabel Embedding Network: Learning Label Representation for Soft Training of Deep Networks

31 citations · 85 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL201931 cited

Imitation Learning for Non-Autoregressive Neural Machine Translation

Bingzhen Wei, Mingxuan Wang, Hao Zhou +3

Non-autoregressive translation models (NAT) have achieved impressive inference speedup. A potential issue of the existing NAT algorithms, however, is that the decoding is conducted…

cs.CL20183 cited

Building an Ellipsis-aware Chinese Dependency Treebank for Web Text

Xuancheng Ren, Xu Sun, Ji Wen +3

Web 2.0 has brought with it numerous user-produced data revealing one's thoughts, experiences, and knowledge, which are a great source for many tasks, such as information extractio…

cs.CL2017

Deep Stacking Networks for Low-Resource Chinese Word Segmentation with Transfer Learning

Jingjing Xu, Xu Sun, Sujian Li +2

In recent years, neural networks have proven to be effective in Chinese word segmentation. However, this promising performance relies on large-scale training data. Neural networks…

cs.LG201731 cited

Label Embedding Network: Learning Label Representation for Soft Training of Deep Networks

Xu Sun, Bingzhen Wei, Xuancheng Ren +1

We propose a method, called Label Embedding Network, which can learn label representation (label embedding) during the training process of deep networks. With the proposed method,…

cs.LG201720 cited

Minimal Effort Back Propagation for Convolutional Neural Networks

Bingzhen Wei, Xu Sun, Xuancheng Ren +1

As traditional neural network consumes a significant amount of computing resources during back propagation, \citet{Sun2017mePropSB} propose a simple yet effective technique to alle…