Vu Dinh Phai

2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Vu Dinh Phai trusts overall

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

1. Geoffrey E. Hinton
2. Li Deng

Who trusts Vu Dinh Phai overall

1. Hongyu Liu

Papers from Vu Dinh Phai's perspective

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

1. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
2. ImageNet classification with deep convolutional neural networks
3. Deep Learning
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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Random Forests
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Deep Learning Approach to Network Intrusion Detection (2018) — 1,484 citations