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- Tsinghua UniversityCN36 papers
- Chinese Academy of SciencesCN30 papers
- Peking UniversityCN27 papers
- National Engineering Laboratory of Deep Learning Technology and ApplicationCN25 papers
- University of Science and Technology of ChinaCN24 papers
- University of Technology SydneyAU20 papers
- Beihang UniversityCN16 papers
- Rutgers, The State University of New JerseyUS16 papers
- University of Hong KongHK16 papers
- University of Maryland, College ParkUS15 papers
- University of Chinese Academy of SciencesCN13 papers
- Zhejiang UniversityCN13 papers
12 papers · 1 filter
Natural Language Inference by Tree-Based Convolution and Heuristic Matching
Lili Mou, Rui Men, Ge Li +4
In this paper, we propose the TBCNN-pair model to recognize entailment and contradiction between two sentences. In our model, a tree-based convolutional neural network (TBCNN) capt…
Agreement-based Joint Training for Bidirectional Attention-based Neural Machine Translation
Yong Cheng, Shiqi Shen, Zhongjun He +4
The attentional mechanism has proven to be effective in improving end-to-end neural machine translation. However, due to the intricate structural divergence between natural languag…
Minimum Risk Training for Neural Machine Translation
Shiqi Shen, Yong Cheng, Zhongjun He +4
We propose minimum risk training for end-to-end neural machine translation. Unlike conventional maximum likelihood estimation, minimum risk training is capable of optimizing model…
Ghost Cities Analysis Based on Positioning Data in China
Guanghua Chi, Yu Liu, Zhengwei Wu +1
Real estate projects are developed excessively in China in this decade. Many new housing districts are built, but they far exceed the actual demand in some cities. These cities wit…
Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks
Haonan Yu, Jiang Wang, Zhiheng Huang +2
We present an approach that exploits hierarchical Recurrent Neural Networks (RNNs) to tackle the video captioning problem, i.e., generating one or multiple sentences to describe a…
Targeting Ultimate Accuracy: Face Recognition via Deep Embedding
Jingtuo Liu, Yafeng Deng, Tao Bai +2
Face Recognition has been studied for many decades. As opposed to traditional hand-crafted features such as LBP and HOG, much more sophisticated features can be learned automatical…