Li Liu

Artificial Intelligence · with Abdar · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 134 citations into it
• Probabilistic & Bayesian Methods — 54 citations into it

Whom Li Liu trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Radford M. Neal
4. Yarin Gal
5. Alex Krizhevsky
6. Yoshua Bengio
7. Yann LeCun
8. Ruslan Salakhutdinov
9. Kaiming He
10. Max Welling

Papers from Li Liu's perspective

Ordered by how strongly the researchers Li 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. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges (2020) — 2,678 citations