Joon Sik Kim

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #18,939 of 35,345 by trust here, #15,542 by citations
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Joon Sik Kim trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan
3. Kaiming He
4. Yann LeCun
5. Been Kim
6. Andrew Zisserman
7. Geoffrey E. Hinton
8. Yoshua Bengio
9. Jacob Bien
10. L. Eon Bottou

Who trusts Joon Sik Kim overall

1. Sercan Ö. Arik
2. Tomas Pfister
3. Chih-Kuan Yeh
4. Karthikeyan K
5. Pouya Pezeshkpour
6. Eric Wallace
7. Andreas Madsen
8. Meike Nauta
9. Samyadeep Basu
10. Julius Adebayo

Papers from Joon Sik Kim's perspective

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

Their papers

• Representer Point Selection for Explaining Deep Neural Networks (2018) — 313 citations