Min Whoo Lee

Artificial Intelligence · 2021

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

• Artificial Intelligence — 25 citations into it
• Reinforcement Learning — 20 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it

Whom Min Whoo Lee trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Dzmitry Bahdanau
6. Volodymyr Mnih
7. Yann LeCun
8. Alex Graves
9. E. Todorov
10. J. Urgen Schmidhuber

Papers from Min Whoo Lee's perspective

Ordered by how strongly the researchers Min Whoo Lee 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning (2021) — 11 citations