Wonchang Chung

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Probabilistic & Bayesian Methods — 13 citations into it
• Generative Models — 7 citations into it
• Optimization & Training — 7 citations into it

Whom Wonchang Chung trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Jimmy Ba
4. Kaiming He
5. Yoshua Bengio
6. Hugo Larochelle
7. Charles Blundell
8. Alex Krizhevsky
9. Individualized Treat
10. Yann LeCun

Papers from Wonchang Chung's perspective

Ordered by how strongly the researchers Wonchang Chung 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. GENERATIVE ADVERSARIAL NETS
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Prior (2017) — 7 citations
• Uncertainty in Multitask Transfer Learning (2018) — 21 citations