Dinghan Shen
Microsoft (United States)(US)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Speech Recognition and Synthesis, Generative Adversarial Networks and Image Synthesis
Most-Cited Works
- → Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation(2019)539 cited
- → What Makes Good In-Context Examples for GPT-3?(2022)476 cited
- → Joint Embedding of Words and Labels for Text Classification(2018)424 cited
- → Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms(2018)324 cited
- Adversarial feature matching for text generation(2017)
- → What Makes Good In-Context Examples for GPT-$3$?(2021)155 cited
- → A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation(2020)94 cited
- → Adversarial Text Generation via Feature-Mover's Distance(2018)75 cited
- → Topic-Guided Variational Auto-Encoder for Text Generation(2019)71 cited