Jun-Keon Park

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it
• Optimization & Training — 10 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Safety, Robustness & Interpretability — 6 citations into it

Whom Jun-Keon Park trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yann LeCun
5. Kaiming He
6. Yoshua Bengio
7. Ian J. Goodfellow
8. Charles M. Bishop
9. Ilya Sutskever
10. Takeru Miyato

Who trusts Jun-Keon Park overall

1. Yassine Ouali
2. Xiangli Yang
3. Yanbei Chen
4. Xiangnan He
5. Qinwei Xu

Papers from Jun-Keon Park's perspective

Ordered by how strongly the researchers Jun-Keon Park 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. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Adversarial Dropout for Supervised and Semi-supervised Learning (2017) — 186 citations