Hyounguk Shon

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 88 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Computer Vision and Pattern Recognition — 29 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Optimization & Training — 11 citations into it

Whom Hyounguk Shon trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Kaiming He
6. James Martens
7. Yann LeCun
8. Sergey Ioffe
9. Razvan Pascanu
10. Ilya Sutskever

Who trusts Hyounguk Shon overall

1. Liyuan Wang
2. Xingxing Zhang

Papers from Hyounguk Shon's perspective

Ordered by how strongly the researchers Hyounguk Shon 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. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning (2022) — 20 citations