Namkyeong Lee

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Representation & Self-Supervised Learning — 19 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Graph Learning — 6 citations into it

Whom Namkyeong Lee trusts overall

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

1. Geoffrey E. Hinton
2. Thomas Kipf
3. Yoshua Bengio
4. Ting-Li Chen
5. Max Welling
6. Kaiming He
7. Diederik P. Kingma
8. Alex Krizhevsky
9. Bryan Perozzi
10. Yuning You

Papers from Namkyeong Lee's perspective

Ordered by how strongly the researchers Namkyeong 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. 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. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Augmentation-Free Self-Supervised Learning on Graphs (2021) — 299 citations