Yawen Shi

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it
• Safety, Robustness & Interpretability — 13 citations into it

Whom Yawen Shi trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Dan Hendrycks
4. Kaiming He
5. Yoshua Bengio
6. Diederik P. Kingma
7. Yann LeCun
8. Antonio Torralba
9. Ilya Sutskever
10. Jia Deng

Papers from Yawen Shi's perspective

Ordered by how strongly the researchers Yawen Shi trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. ImageNet: A large-scale hierarchical image database
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. GENERATIVE ADVERSARIAL NETS
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue (2021) — 35 citations