Changho Hwang

Artificial Intelligence · 2017–2022

A researcher in the Science corpus: 2 papers; trusts 54 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it
• Model Architectures — 15 citations into it
• Optimization & Training — 7 citations into it
• Natural Language Processing — 5 citations into it

Whom Changho Hwang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Kaiming He
5. Karen Simonyan
6. Christian Szegedy
7. Yoshua Bengio
8. Yann LeCun
9. Sergey Ioffe
10. Ilya Sutskever

Who trusts Changho Hwang overall

1. Kimin Lee
2. Jonghwan Mun
3. Trevor Gale
4. Minsoo Kang
5. Sebastian Gehrmann
6. Hao Zhou

Papers from Changho Hwang's perspective

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

Their papers

• Tutel: Adaptive Mixture-of-Experts at Scale (2022) — 273 citations
• Confident Multiple Choice Learning (2017) — 52 citations