Lingyun Shi
2017
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Papers from Lingyun Shi's perspective
Ordered by how strongly the researchers Lingyun Shi trusts endorse each paper. Same corpus, a different order for every researcher.
- The Stanford CoreNLP Natural Language Processing Toolkit
- Scikit-learn: Machine Learning in Python
- Steven Bird, Ewan Klein and Edward Loper: Natural Language Processing with Python, Analyzing Text with the Natural Language Toolkit
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)