Heewon Lee

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Molecular Biology — 9 citations into it
• Natural Language Processing — 9 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Heewon Lee trusts overall

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

1. Pascal Vincent
2. Yoshua Bengio
3. George A. Miller
4. Yann LeCun
5. Tomas Mikolov
6. Quoc V. Le
7. Geoffrey E. Hinton
8. Hugo Larochelle
9. Alex Krizhevsky
10. John C. Duchi

Papers from Heewon Lee's perspective

Ordered by how strongly the researchers Heewon 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Mut2Vec: distributed representation of cancerous mutations (2018) — 48 citations