JooSeuk Kim

Artificial Intelligence · 2008

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #7,345 of 35,345 by trust here, #20,836 by citations
• Statistical Learning Theory — 5 citations into it
• Statistics and Probability — 5 citations into it; #2,390 of 12,932 by trust here, #5,481 by citations

Whom JooSeuk Kim trusts overall

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

1. Eric R. Ziegel
2. Frank Hampel
3. Hakon Kile
4. Ingo Steinwart
5. Luc Devroye
6. Leo Breiman
7. Dorin Comaniciu
8. Kenneth L. Lange
9. Linli Xu
10. Longin Jan Latecki

Who trusts JooSeuk Kim overall

1. Krikamol Muandet
2. Izhak Golan
3. Xiaoyi Gu
4. Lukas Ruff
5. Yu-xin Zhang
6. Stanislav Pidhorskyi
7. Shuangfei Zhai
8. Yan Xia
9. Rémi Domingues
10. Bo Zong

Papers from JooSeuk Kim's perspective

Ordered by how strongly the researchers JooSeuk 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. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Long Short-Term Memory
9. Going deeper with convolutions
10. ImageNet: A large-scale hierarchical image database

Their papers

• Robust kernel density estimation (2008) — 439 citations