Yilin Yang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Safety, Robustness & Interpretability — 15 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it

Whom Yilin Yang trusts overall

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

1. Kaiming He
2. Matthew D. Zeiler
3. Geoffrey E. Hinton
4. Pang Wei Koh
5. Alex Krizhevsky
6. Rob Fergus
7. Christian Szegedy
8. Karen Simonyan
9. Yoshua Bengio
10. Yann LeCun

Papers from Yilin Yang's perspective

Ordered by how strongly the researchers Yilin Yang 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Towards Frequency-Based Explanation for Robust CNN (2020) — 57 citations