Beom-Jin Lee

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 Beom-Jin Lee 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. X. Zhang
8. Yoshua Bengio
9. Diederik P. Kingma
10. Ivan Sorokin

Who trusts Beom-Jin Lee overall

1. Afshin Oroojlooyjadid
2. Dmitry Nikulin

Papers from Beom-Jin Lee's perspective

Ordered by how strongly the researchers Beom-Jin Lee 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. Gradient-based learning applied to document recognition
4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

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