Younghun Lee

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #21,735 of 35,345 by trust here, #29,412 by citations
• Natural Language Processing — 15 citations into it
• Information Systems — 5 citations into it; #4,642 of 8,771 by trust here, #7,107 by citations

Whom Younghun Lee trusts overall

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

1. Diederik P. Kingma
2. Quoc V. Le
3. Yann LeCun
4. Geoffrey E. Hinton
5. Mike Schuster
6. Yoshua Bengio
7. Tomas Mikolov
8. Jimmy Ba
9. Junbo Jake Zhao
10. David M. Blei

Who trusts Younghun Lee overall

1. Pushkar Mishra
2. Steve Durairaj Swamy
3. Helen Yannakoudakis
4. Anupam Jamatia
5. Kanika Narang

Papers from Younghun Lee's perspective

Ordered by how strongly the researchers Younghun 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Comparative Studies of Detecting Abusive Language on Twitter (2018) — 81 citations