Sheng Li

Natural Language Processing · with Li · 2015

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 16 citations into it
• Artificial Intelligence — 13 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Sheng Li trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Tomas Mikolov

Papers from Sheng Li's perspective

Ordered by how strongly the researchers Sheng Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
2. A Fast Learning Algorithm for Deep Belief Nets
3. Efficient Estimation of Word Representations in Vector Space
4. A Neural Probabilistic Language Model
5. Recurrent neural network based language model
6. Bleu: a Method for Automatic Evaluation of Machine Translation
7. Natural Language Processing (Almost) from Scratch
8. ImageNet classification with deep convolutional neural networks
9. Generating Text with Recurrent Neural Networks
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Hierarchical Recurrent Neural Network for Document Modeling (2015) — 169 citations