C. S. Lee

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 317 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Computer Vision and Pattern Recognition — 38 citations into it
• Representation & Self-Supervised Learning — 31 citations into it
• Meta & Continual Learning — 8 citations into it
• Optimization & Training — 6 citations into it
• Radiology, Nuclear Medicine and Imaging — 5 citations into it

Whom C. S. Lee trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Kaiming He
5. Yoshua Bengio
6. Yann LeCun
7. Ruslan Salakhutdinov
8. Sepp Hochreiter
9. Ilya Sutskever
10. Karen Simonyan

Papers from C. S. Lee's perspective

Ordered by how strongly the researchers C. S. 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A Two-Stage Approach to Few-Shot Learning for Image Recognition (2019) — 141 citations