Christopher Yeh

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Optimization & Training — 12 citations into it
• Model Architectures — 11 citations into it
• Natural Language Processing — 8 citations into it

Whom Christopher Yeh trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. X. Zhang
4. Shaoqing Ren
5. Geoffrey E. Hinton
6. Ross B. Girshick
7. Yann LeCun
8. David D. Lewis
9. Yoshua Bengio
10. Diederik P. Kingma

Papers from Christopher Yeh's perspective

Ordered by how strongly the researchers Christopher Yeh 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. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Selection Via Proxy: Efficient Data Selection For Deep Learning (2019) — 497 citations
• Using publicly available satellite imagery and deep learning to understand economic well-being in Africa (2020) — 460 citations