Jaeryoung Lee

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Model Architectures — 7 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Jaeryoung Lee trusts overall

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

1. Yoshua Bengio
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Michael I. Jordan
6. Ilya Sutskever
7. Hugo Larochelle
8. Yann LeCun
9. Diederik P. Kingma
10. Ruslan Salakhutdinov

Papers from Jaeryoung Lee's perspective

Ordered by how strongly the researchers Jaeryoung Lee trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Personalized machine learning for robot perception of affect and engagement in autism therapy (2018) — 311 citations