Yoon-Hyung Roh

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Natural Language Processing — 10 citations into it

Whom Yoon-Hyung Roh trusts overall

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

1. Diederik P. Kingma
2. Sosuke Kobayashi
3. Bing Liu
4. Xiaodong Zhang
5. Jimmy Ba
6. Geoffrey E. Hinton
7. Yoshua Bengio
8. Mohit Iyyer
9. Kang Min Yoo
10. Yu Wang

Papers from Yoon-Hyung Roh's perspective

Ordered by how strongly the researchers Yoon-Hyung Roh trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Data Augmentation by Data Noising for Open-vocabulary Slots in Spoken Language Understanding (2019) — 16 citations