Hui Liu

Artificial Intelligence · 1 papers · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it

Whom Hui Liu trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Jimmy Ba
5. Alex Krizhevsky
6. Kaiming He
7. Angela Fan
8. Tong Xiao
9. Ilya Sutskever
10. Rico Sennrich

Papers from Hui Liu's perspective

Ordered by how strongly the researchers Hui Liu 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. Attention is All you Need (Neural Information Processing Systems)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Distilling the Knowledge in a Neural Network (arXiv.org)
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Learning Light-Weight Translation Models from Deep Transformer (2020) — 44 citations