Yanxi Li

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it
• Safety, Robustness & Interpretability — 32 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it
• Model Architectures — 9 citations into it
• Optimization & Training — 6 citations into it
• Molecular Biology — 5 citations into it
• Signal Processing — 5 citations into it

Whom Yanxi Li trusts overall

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

1. Ian J. Goodfellow
2. Kaiming He
3. Christian Szegedy
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Karen Simonyan
8. Nicolas Papernot
9. Ilya Sutskever
10. Alexey Kurakin

Papers from Yanxi Li's perspective

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

Their papers

• Adversarially Robust Neural Architectures (2020) — 55 citations