Yijie Bei

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 193 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Computer Vision and Pattern Recognition — 32 citations into it
• Safety, Robustness & Interpretability — 17 citations into it
• Model Architectures — 9 citations into it

Whom Yijie Bei trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Bolei Zhou
6. Matthew D. Zeiler
7. Yoshua Bengio
8. Andrew Zisserman
9. Ross B. Girshick
10. Yann LeCun

Who trusts Yijie Bei overall

1. Cynthia Rudin

Papers from Yijie Bei's perspective

Ordered by how strongly the researchers Yijie Bei 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Concept whitening for interpretable image recognition (2020) — 377 citations