Minseon Kim

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 73 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Computer Vision and Pattern Recognition — 29 citations into it
• Safety, Robustness & Interpretability — 17 citations into it
• Representation & Self-Supervised Learning — 16 citations into it
• Optimization & Training — 6 citations into it

Whom Minseon Kim trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Ian J. Goodfellow
5. Christian Szegedy
6. Yoshua Bengio
7. Diederik P. Kingma
8. Yann LeCun
9. Ross B. Girshick
10. Ilya Sutskever

Who trusts Minseon Kim overall

1. Guanglei Yang

Papers from Minseon Kim's perspective

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

Their papers

• Adversarial Self-Supervised Contrastive Learning (2020) — 286 citations