Yonggyun Yu

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Artificial Intelligence — 13 citations into it
• Generative Models — 9 citations into it

Whom Yonggyun Yu trusts overall

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

1. Diederik P. Kingma
2. Yann LeCun
3. Geoffrey E. Hinton
4. Kaiming He
5. Yoshua Bengio
6. Ian J. Goodfellow
7. Alex Krizhevsky
8. Vinod Nair
9. Max Welling
10. Jimmy Ba

Who trusts Yonggyun Yu overall

1. Sangeun Oh

Papers from Yonggyun Yu's perspective

Ordered by how strongly the researchers Yonggyun Yu 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Deep learning for determining a near-optimal topological design without any iteration (2018) — 338 citations