Hyokun Yun

Artificial Intelligence · 2013–2017

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Natural Language Processing — 15 citations into it
• Model Architectures — 6 citations into it

Whom Hyokun Yun trusts overall

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

1. Geoffrey E. Hinton
2. Yucheng Low
3. Alex Smola
4. Dimitri P. Bertsekas
5. Alex Krizhevsky
6. Joseph E. Gonzalez
7. Ilya Sutskever
8. Kaiming He
9. B. Recht
10. Yoshua Bengio

Who trusts Hyokun Yun overall

1. Xiangru Lian
2. Firas Abuzaid
3. Yadong Mu
4. Suyu Ge
5. Robert Munro
6. Yijun Huang
7. Jing Li

Papers from Hyokun Yun's perspective

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

Their papers

• Deep Active Learning for Named Entity Recognition (2017) — 482 citations
• NOMAD: Nonlocking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion (2013) — 123 citations