Zhenxiong Tan

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 86 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it
• Artificial Intelligence — 26 citations into it
• Generative Models — 18 citations into it
• Model Architectures — 7 citations into it
• Optimization & Training — 7 citations into it
• Neural Architecture Search & AutoML — 5 citations into it

Whom Zhenxiong Tan trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Kaiming He
5. Yoshua Bengio
6. Barret Zoph
7. Quoc V. Le
8. Karen Simonyan
9. Yann LeCun
10. Ilya Sutskever

Papers from Zhenxiong Tan's perspective

Ordered by how strongly the researchers Zhenxiong Tan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Going deeper with convolutions

Their papers

• AdversarialNAS: Adversarial Neural Architecture Search for GANs (2019) — 95 citations