Youngnam Lee

Artificial Intelligence · with Lee · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it

Whom Youngnam Lee trusts overall

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

1. Diederik P. Kingma
2. David Hilton Wolpert

Who trusts Youngnam Lee overall

1. Sameer Quazi
2. Avishek Choudhury

Papers from Youngnam Lee's perspective

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

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

Their papers

• An Algorithm Based on Deep Learning for Predicting In‐Hospital Cardiac Arrest (2018) — 258 citations