Dinghan Shen

1. What Makes Good In-Context Examples for GPT-3?
   2021/01/17 by Jiachang Liu, Dinghan Shen, Liu, Jiachang +9 · 85 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning in Healthcare #Natural Language Processing Techniques #Topic Modeling
2. MixKD: Towards Efficient Distillation of Large-scale Language Models
   2020/11/01 by Kevin J Liang, Liang, Kevin J, Weituo Hao +11 · 6 citations
   Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling
3. CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding
   2020/10/16 by Yanru Qu, Qu, Yanru, Dinghan Shen +9 · 6 citations
   Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
4. A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation
   2020/09/29 by Dinghan Shen, Mingzhi Zheng, Shen, Dinghan +7 · 6 citations
   Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
5. Joint Embedding of Words and Labels for Text Classification
   2018/05/10 by Guoyin Wang, Wang, Guoyin, Chunyuan Li +13 · 2 citations
   Computer Science · #Topic Modeling #Natural Language Processing Techniques #Text and Document Classification Technologies
6. Deconvolutional Paragraph Representation Learning
   2017/08/16 by Yizhe Zhang, Zhang, Yizhe, Dinghan Shen +9 · 2 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
7. Deconvolutional Latent-Variable Model for Text Sequence Matching
   2017/09/21 by Dinghan Shen, Yizhe Zhang, Shen, Dinghan +7 · 2 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
8. Improving Sequence-to-Sequence Learning via Optimal Transport
   2019/01/18 by Li‐Qun Chen, Yizhe Zhang, Chen, Liqun +17 · 1 citation
   Computer Science · #Topic Modeling #Multimodal Machine Learning Applications #Natural Language Processing Techniques