Yunxing Gao

Computer Vision and Pattern Recognition · 2017

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

• Computer Vision and Pattern Recognition — 15 citations into it
• Artificial Intelligence — 8 citations into it
• Model Architectures — 5 citations into it

Whom Yunxing Gao trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Alex Krizhevsky
4. Yichuan Tang
5. Vinod Nair

Papers from Yunxing Gao's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Rectified Linear Units Improve Restricted Boltzmann Machines
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Visualizing and Understanding Convolutional Networks
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Simple convolutional neural network on image classification (2017) — 353 citations