Yao Li

Artificial Intelligence · with Hsieh · 2018

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Safety, Robustness & Interpretability — 22 citations into it
• Signal Processing — 9 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Yao Li trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Ian J. Goodfellow
4. Nicholas Carlini
5. Alex Krizhevsky
6. Max Welling
7. Yoshua Bengio
8. Christian Szegedy
9. Yann LeCun
10. Ilya Sutskever

Who trusts Yao Li overall

1. Adnan Siraj Rakin

Papers from Yao Li's perspective

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

Their papers

• Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network (2018) — 187 citations