Teng Li

Artificial Intelligence · with Fonseca · 2019

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Computer Vision and Pattern Recognition — 31 citations into it
• Neural Architecture Search & AutoML — 18 citations into it
• Model Architectures — 9 citations into it
• Management Science and Operations Research — 8 citations into it

Whom Teng Li trusts overall

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

1. Frank Hutter
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. R´emi Munos
6. Esteban Real
7. Quoc V. Le
8. Kaiming He
9. Barret Zoph
10. Karen Simonyan

Papers from Teng Li's perspective

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

Their papers

• Sample-Efficient Neural Architecture Search by Learning Action Space (2019) — 48 citations