Taehyeon Kim

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 Taehyeon Kim trusts overall

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

1. Geoffrey E. Hinton
2. Sergey Zagoruyko
3. Chris J. Maddison
4. Oriol Vinyals
5. Alex Krizhevsky
6. Kaiming He
7. Yoshua Bengio
8. Nikos Komodakis
9. Michal Lukasik
10. Byeongho Heo

Who trusts Taehyeon Kim overall

1. Huan Liu

Papers from Taehyeon Kim's perspective

Ordered by how strongly the researchers Taehyeon Kim 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. Attention is All you Need (Neural Information Processing Systems)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Distilling the Knowledge in a Neural Network (arXiv.org)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

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