Yujun Li

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 46 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 — 22 citations into it
• Optimization & Training — 17 citations into it
• Management Science and Operations Research — 12 citations into it
• Neural Architecture Search & AutoML — 11 citations into it
• Reinforcement Learning — 7 citations into it

Whom Yujun Li trusts overall

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

1. Alex Krizhevsky
2. Yoshua Bengio
3. Frank Hutter
4. Geoffrey E. Hinton
5. James Bergstra
6. Kevin G. Jamieson
7. Kaiming He
8. John Schulman
9. Yann LeCun
10. Diederik P. Kingma

Papers from Yujun Li's perspective

Ordered by how strongly the researchers Yujun 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. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization (2020) — 8 citations