Andrew Li

Artificial Intelligence · with Cheng · 2021

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Efficiency & Compression — 13 citations into it
• Model Architectures — 13 citations into it

Whom Andrew Li trusts overall

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

1. Kaiming He
2. Barret Zoph
3. Quoc V. Le
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Han Cai
7. Yoshua Bengio
8. Song Han
9. Andrew G. Howard
10. Christian Szegedy

Papers from Andrew Li's perspective

Ordered by how strongly the researchers Andrew Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet Large Scale Visual Recognition Challenge
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Searching for Fast Model Families on Datacenter Accelerators (2021) — 40 citations