Jiwei Tan

Natural Language Processing · 2017

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 17 citations into it; #2,162 of 5,688 by trust here, #3,421 by citations
• Artificial Intelligence — 16 citations into it; #11,035 of 35,345 by trust here, #16,771 by citations

Whom Jiwei Tan trusts overall

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

1. Alex Graves
2. Diederik P. Kingma
3. Chin-Yew Lin
4. Sepp Hochreiter
5. Ramesh Nallapati
6. Taher H. Haveliwala
7. Yoshua Bengio
8. Dzmitry Bahdanau
9. Geoffrey E. Hinton
10. J. Urgen Schmidhuber

Who trusts Jiwei Tan overall

1. Shay B. Cohen
2. Mirella Lapata
3. Laura Perez-Beltrachini
4. Reinald Kim Amplayo
5. Han Guo
6. Nikos Papasarantopoulos
7. Max Grusky
8. Jiacheng Xu
9. Wojciech Kryscinski
10. Kristjan Arumae

Papers from Jiwei Tan's perspective

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

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

Their papers

• Abstractive Document Summarization with a Graph-Based Attentional Neural Model (2017) — 303 citations