Yimin Huang

Artificial Intelligence · with Li · 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 Yimin Huang trusts overall

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

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

Who trusts Yimin Huang overall

1. Bochao Wang

Papers from Yimin Huang's perspective

Ordered by how strongly the researchers Yimin Huang 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. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

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