Uiwon Hwang

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 757 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 175 citations into it
• Generative Models — 160 citations into it
• Artificial Intelligence — 92 citations into it
• Statistical and Nonlinear Physics — 31 citations into it
• Signal Processing — 23 citations into it
• Reinforcement Learning — 21 citations into it
• Media Technology — 15 citations into it
• Biophysics — 10 citations into it

Whom Uiwon Hwang trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Diederik P. Kingma
5. Yann LeCun
6. Ilya Sutskever
7. Karen Simonyan
8. Ian J. Goodfellow
9. Kaiming He
10. Alex Graves

Papers from Uiwon Hwang's perspective

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

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

Their papers

• How Generative Adversarial Networks and Their Variants Work (2017) — 184 citations
• How Generative Adversarial Networks and Its Variants Work : An Overview of GAN (2017)