Weiguang Mao

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #31,678 of 35,345 by trust here, #25,809 by citations
• Natural Language Processing — 13 citations into it; #5,099 of 5,688 by trust here, #4,682 by citations
• Model Architectures — 5 citations into it

Whom Weiguang Mao trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Sepp Hochreiter
4. J. Urgen Schmidhuber
5. Oriol Vinyals
6. Yoshua Bengio
7. Alex Krizhevsky
8. Jimmy Ba
9. Ilya Sutskever
10. Richard Socher

Who trusts Weiguang Mao overall

1. Debajyoti Chatterjee

Papers from Weiguang Mao's perspective

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

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

Their papers

• Phase Conductor on Multi-layered Attentions for Machine Comprehension (2017) — 22 citations