Gen Zhang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Artificial Intelligence — 23 citations into it
• Model Architectures — 7 citations into it

Whom Gen Zhang trusts overall

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

1. Geoffrey E. Hinton
2. J. Urgen Schmidhuber
3. L. Eon Bottou
4. Kaiming He
5. Karen Simonyan
6. Alex Krizhevsky
7. Yoshua Bengio
8. Diederik P. Kingma
9. Yann LeCun
10. Christian Szegedy

Papers from Gen Zhang's perspective

Ordered by how strongly the researchers Gen Zhang 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. ImageNet: A large-scale hierarchical image database
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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. Learning Multiple Layers of Features from Tiny Images
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture (2018) — 507 citations