Sangwook Cho

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it

Whom Sangwook Cho trusts overall

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

1. Geoffrey E. Hinton
2. Sergey Zagoruyko

Papers from Sangwook Cho's perspective

Ordered by how strongly the researchers Sangwook Cho trusts endorse each paper. Same corpus, a different order for every researcher.

1. Distilling the Knowledge in a Neural Network (arXiv.org)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Wide Residual Networks
5. Gradient-based learning applied to document recognition
6. FitNets: Hints for Thin Deep Nets
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
10. Long Short-Term Memory

Their papers

• Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation (2021) — 337 citations