C. S. George Lee

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 226 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #24,852 of 35,345 by trust here, #32,362 by citations
• Computer Vision and Pattern Recognition — 21 citations into it; #15,326 of 21,575 by trust here, #20,271 by citations
• Radiology, Nuclear Medicine and Imaging — 10 citations into it; #1,791 of 3,265 by trust here, #3,066 by citations
• Representation & Self-Supervised Learning — 8 citations into it

Whom C. S. George Lee trusts overall

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

1. Geoffrey E. Hinton
2. Zeynep Akata
3. Alex Krizhevsky
4. Richard Socher
5. Christoph H. Lampert
6. Yoshua Bengio
7. Ilya Sutskever
8. Yongqin Xian
9. Kaiming He
10. L. V. D. van der Maaten

Who trusts C. S. George Lee overall

1. Xiang Wang

Papers from C. S. George Lee's perspective

Ordered by how strongly the researchers C. S. George 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Zero-shot Image Recognition Using Relational Matching, Adaptation and Calibration (2019) — 31 citations