Hyoungseok Kim

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Reinforcement Learning — 18 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it

Whom Hyoungseok Kim trusts overall

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

1. Diederik P. Kingma
2. Marc G. Bellemare
3. John Schulman
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Sergey Levine
7. Richard S. Sutton
8. Alex Krizhevsky
9. Aäron van den Oord
10. Jimmy Ba

Who trusts Hyoungseok Kim overall

1. Dipendra Kumar Misra
2. Pawel Ladosz
3. Ayush Jain
4. Qinghua Liu

Papers from Hyoungseok Kim's perspective

Ordered by how strongly the researchers Hyoungseok Kim 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. 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

• EMI: Exploration with Mutual Information (2018) — 107 citations