438 citations
- Peking UniversityCN5 papers
- Shanghai Jiao Tong UniversityCN4 papers
- Tsinghua UniversityCN4 papers
- Chinese Academy of SciencesCN3 papers
- Georgia Institute of TechnologyUS3 papers
- Nankai UniversityCN3 papers
- Beijing Institute of TechnologyCN2 papers
- Chinese University of Hong Kong, ShenzhenCN2 papers
- Collaborative Innovation Center of Quantum MatterCN2 papers
- East China Normal UniversityCN2 papers
- Johns Hopkins UniversityUS2 papers
- Lancaster UniversityGB2 papers
32 papers
Multi-Label Few-Shot Learning for Aspect Category Detection
Mengting Hu, Shiwan Zhao, Honglei Guo +5
Aspect category detection (ACD) in sentiment analysis aims to identify the aspect categories mentioned in a sentence. In this paper, we formulate ACD in the few-shot learning scena…
D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis
Yunhui Zheng, Saurabh Pujar, Burn Lewis +6
Static analysis tools are widely used for vulnerability detection as they understand programs with complex behavior and millions of lines of code. Despite their popularity, static…
From API to NLI: A New Interface for Library Reuse
Qi Shen, Shijun Wu, Yanzhen Zou +2
Developers frequently reuse APIs from existing libraries to implement certain functionality. However, learning APIs is difficult due to their large scale and complexity. In this pa…
Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification
Mengting Hu, Yike Wu, Shiwan Zhao +3
Cross-domain sentiment classification has drawn much attention in recent years. Most existing approaches focus on learning domain-invariant representations in both the source and t…
Improving Captioning for Low-Resource Languages by Cycle Consistency
Yike Wu, Shiwan Zhao, Jia Chen +3
Improving the captioning performance on low-resource languages by leveraging English caption datasets has received increasing research interest in recent years. Existing works main…
Probabilistic Forecasting with Temporal Convolutional Neural Network
Yitian Chen, Yanfei Kang, Yixiong Chen +1
We present a probabilistic forecasting framework based on convolutional neural network for multiple related time series forecasting. The framework can be applied to estimate probab…