Kee-Hoon Kim

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it

Whom Kee-Hoon Kim trusts overall

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

1. Alex Krizhevsky
2. Wei-Yang Lin
3. Ossama Abdel-Hamid
4. Andrej Karpathy
5. Geoffrey E. Hinton
6. Ilya Sutskever
7. Abdel-rahman Mohamed
8. Ya-Han Hu

Who trusts Kee-Hoon Kim overall

1. A. Ozbayoglu
2. M. Ugur Gudelek

Papers from Kee-Hoon Kim's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Predicting the success of bank telemarketing using deep convolutional neural network (2015) — 27 citations