72 citations · 166 across the 5 of their papers we have counts for
5 papers
Depth Growing for Neural Machine Translation
Lijun Wu, Yiren Wang, Yingce Xia +5
While very deep neural networks have shown effectiveness for computer vision and text classification applications, how to increase the network depth of neural machine translation (…
Image-to-Image Translation with Multi-Path Consistency Regularization
Jianxin Lin, Yingce Xia, Yijun Wang +2
Image translation across different domains has attracted much attention in both machine learning and computer vision communities. Taking the translation from source domain $\mathca…
Soft Contextual Data Augmentation for Neural Machine Translation
Jinhua Zhu, Fei Gao, Lijun Wu +5
While data augmentation is an important trick to boost the accuracy of deep learning methods in computer vision tasks, its study in natural language tasks is still very limited. In…
Dual Supervised Learning
Yingce Xia, Tao Qin, Wei Chen +3
Many supervised learning tasks are emerged in dual forms, e.g., English-to-French translation vs. French-to-English translation, speech recognition vs. text to speech, and image cl…
Thompson Sampling for Budgeted Multi-armed Bandits
Yingce Xia, Haifang Li, Tao Qin +2
Thompson sampling is one of the earliest randomized algorithms for multi-armed bandits (MAB). In this paper, we extend the Thompson sampling to Budgeted MAB, where there is random…