James Tan Yong Hong

Natural Language Processing · 2015

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 6 citations into it
• Artificial Intelligence — 5 citations into it

Whom James Tan Yong Hong trusts overall

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

1. Richard Socher
2. Bo Pang
3. Tomas Mikolov
4. Ozan Irsoy
5. Kai Sheng Tai
6. Andrew L. Maas
7. Christopher D. Manning
8. Lillian Lee
9. Claire Cardie
10. Sepp Hochreiter

Papers from James Tan Yong Hong's perspective

Ordered by how strongly the researchers James Tan Yong Hong trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Analysis with Deeply Learned Distributed Representations of Variable Length Texts (2015)