Phuoc Nguyen

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #30,974 of 35,345 by trust here, #22,463 by citations
• Natural Language Processing — 5 citations into it

Whom Phuoc Nguyen trusts overall

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

1. Yann LeCun
2. Geoffrey E. Hinton
3. Tomas Mikolov
4. Ilya Sutskever
5. Alex Krizhevsky
6. Yoshua Bengio
7. J. Urgen Schmidhuber
8. Zachary Chase Lipton
9. Kaiming He
10. Yoon Kim

Who trusts Phuoc Nguyen overall

1. Ying Sha
2. Tian Bai
3. Benjamin Shickel
4. Mengying Sun
5. Yikuan Li
6. May D. Wang
7. Shanshan Zhang
8. Patrick James Tighe
9. Fengyi Tang

Papers from Phuoc Nguyen's perspective

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

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

Their papers

• $\mathtt {Deepr}$: A Convolutional Net for Medical Records (2016) — 400 citations