Guiliang Liu

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Safety, Robustness & Interpretability — 6 citations into it

Whom Guiliang Liu trusts overall

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

1. Andrew McCallum
2. Olcay Boz
3. Richard S. Sutton
4. Jimmy Ba
5. Mark W. Craven
6. William T. B. Uther
7. Andrew Barto
8. Zhengping Che
9. R. Caruana
10. Greg Brockman

Who trusts Guiliang Liu overall

1. Yashesh D. Dhebar
2. Kalyanmoy Deb

Papers from Guiliang Liu's perspective

Ordered by how strongly the researchers Guiliang Liu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees (2018) — 157 citations