Yilan Chen

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 188 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Safety, Robustness & Interpretability — 18 citations into it

Whom Yilan Chen trusts overall

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

1. Geoffrey E. Hinton
2. Karen Simonyan
3. Alex Krizhevsky
4. Kaiming He
5. Andrew Zisserman
6. Yann LeCun
7. Ilya Sutskever
8. Andrea Vedaldi
9. Yoshua Bengio
10. Diederik P. Kingma

Papers from Yilan Chen's perspective

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

Their papers

• Explaining Knowledge Distillation by Quantifying the Knowledge (2020) — 141 citations