Keun Kwang Lee

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Artificial Intelligence — 5 citations into it

Whom Keun Kwang Lee trusts overall

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

1. Alex Krizhevsky
2. Dan Claudiu Ciresan
3. Pierre Sermanet
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Yann LeCun

Papers from Keun Kwang Lee's perspective

Ordered by how strongly the researchers Keun Kwang Lee 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. Learning Multiple Layers of Features from Tiny Images
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Multi-column deep neural networks for image classification

Their papers

• The skin cancer classification using deep convolutional neural network (2018) — 368 citations