Jinyoung Choi

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Jinyoung Choi trusts overall

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

1. Kaiming He
2. Sainbayar Sukhbaatar
3. Volodymyr Mnih
4. Geoffrey E. Hinton
5. Junhyuk Oh
6. Alex Krizhevsky
7. Yoshua Bengio
8. X. Zhang
9. Diederik P. Kingma
10. Ivan Sorokin

Who trusts Jinyoung Choi overall

1. Afshin Oroojlooyjadid
2. Dmitry Nikulin
3. Davood Hajinezhad
4. Anastasia Ianina
5. Yongyuan Liang
6. Shariq Iqbal

Papers from Jinyoung Choi's perspective

Ordered by how strongly the researchers Jinyoung Choi 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Multi-focus Attention Network for Efficient Deep Reinforcement Learning (2017) — 52 citations