Seonghan Ryu

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Natural Language Processing — 8 citations into it
• Optimization & Training — 6 citations into it

Whom Seonghan Ryu trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Matthew D. Zeiler
4. Tomas Mikolov
5. Jimmy Ba
6. Sepp Hochreiter
7. Yoon Kim
8. Quoc V. Le
9. Ian Lane
10. Alex Krizhevsky

Who trusts Seonghan Ryu overall

1. Joo-Kyung Kim
2. Greg Van Houdt
3. Young-Bum Kim
4. Carlos Mosquera
5. Yinhe Zheng

Papers from Seonghan Ryu's perspective

Ordered by how strongly the researchers Seonghan Ryu 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. GENERATIVE ADVERSARIAL NETS
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Out-of-domain Detection based on Generative Adversarial Network (2018) — 70 citations
• Neural sentence embedding using only in-domain sentences for out-of-domain sentence detection in dialog systems (2017) — 56 citations