Jongmin Kim

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Graph Learning — 16 citations into it
• Representation & Self-Supervised Learning — 15 citations into it
• Meta & Continual Learning — 7 citations into it

Whom Jongmin Kim trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Diederik P. Kingma
4. Joan Bruna
5. Yoshua Bengio
6. Alex Krizhevsky
7. Oriol Vinyals
8. Gregory R. Koch
9. Kaiming He
10. Ilya Sutskever

Who trusts Jongmin Kim overall

1. Yuqing Hu
2. Xiahan Shi
3. Jian Zhang
4. Yuxiang Zhang
5. Chengxiang Yin
6. Vincent Gripon

Papers from Jongmin Kim's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
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

• Edge-Labeling Graph Neural Network for Few-Shot Learning (2019) — 529 citations