Xiao Shi Huang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Model Architectures — 7 citations into it

Whom Xiao Shi Huang trusts overall

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

1. Martin Popel
2. Toan Q. Nguyen
3. Ashish Vaswani
4. Jonas Gehring
5. Liyuan Liu
6. Qiang Wang
7. Geoffrey E. Hinton
8. Yoshua Bengio
9. Ondrej Bojar
10. Julian Salazar

Who trusts Xiao Shi Huang overall

1. Derya Soydaner
2. Sam Shleifer
3. Charlie Blake
4. Quentin Fournier
5. Demetres Kostas
6. Hongyu Wang
7. Ali Hassani
8. Jason Aaron Edward Weston
9. Stephane T Aroca-Ouellette
10. Douglas Orr

Papers from Xiao Shi Huang's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
5. Long Short-Term Memory
6. ImageNet classification with deep convolutional neural networks
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. Gradient-based learning applied to document recognition
10. Layer Normalization

Their papers

• Improving Transformer Optimization Through Better Initialization (2020) — 186 citations