Jongyoon Kim

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 150 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it; #24,292 of 35,345 by trust here, #33,294 by citations
• Computer Vision and Pattern Recognition — 21 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Meta & Continual Learning — 9 citations into it; #778 of 1,041 by trust here, #1,021 by citations

Whom Jongyoon Kim trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Yann LeCun
6. Diederik P. Kingma
7. Ilya Sutskever
8. Ross B. Girshick
9. Marc'Aurelio Ranzato
10. David Lopez-Paz

Who trusts Jongyoon Kim overall

1. Zhen Tan
2. Kaize Ding
3. Ruocheng Guo

Papers from Jongyoon Kim's perspective

Ordered by how strongly the researchers Jongyoon 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network (2021) — 28 citations