Kuan Liu

Computer Vision and Pattern Recognition · 2014

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

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it

Whom Kuan Liu trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Ali Rahimi
4. Yoshua Bengio
5. Yann LeCun
6. Radford M. Neal
7. L. Eon Bottou
8. Kenneth L. Clarkson

Papers from Kuan Liu's perspective

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

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

Their papers

• How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets (2014) — 66 citations