Kwangjin Lee

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #28,964 of 35,345 by trust here, #34,213 by citations
• Computer Vision and Pattern Recognition — 18 citations into it; #17,779 of 21,575 by trust here, #21,103 by citations
• Efficiency & Compression — 7 citations into it
• Model Architectures — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Kwangjin Lee trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Karen Simonyan
5. Sergey Zagoruyko
6. Andrew Zisserman
7. Yoshua Bengio
8. Oriol Vinyals
9. Yann LeCun
10. Ilya Sutskever

Who trusts Kwangjin Lee overall

1. Lin Wang

Papers from Kwangjin Lee's perspective

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

Their papers

• Stochasticity and Skip Connection Improve Knowledge Transfer (2021) — 12 citations