Zexi Mao

2015

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Zexi Mao trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Ilya Sutskever

Papers from Zexi Mao's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Going deeper with convolutions
3. Dropout: a simple way to prevent neural networks from overfitting
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Efficient BackProp
10. ImageNet: A large-scale hierarchical image database

Their papers

• Training Binary Multilayer Neural Networks for Image Classification using Expectation Backpropagation (2015) — 52 citations