Wei Pan

Artificial Intelligence · with Wang · 2019

A researcher in the Science corpus: 2 papers; trusts 193 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 67 citations into it
• Computer Vision and Pattern Recognition — 37 citations into it
• Reinforcement Learning — 25 citations into it
• Efficiency & Compression — 19 citations into it
• Optimization & Training — 14 citations into it
• Model Architectures — 13 citations into it
• Management Science and Operations Research — 12 citations into it
• Neural Architecture Search & AutoML — 11 citations into it

Whom Wei Pan trusts overall

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

1. David John Cameron MacKay
2. Yann LeCun
3. Geoffrey E. Hinton
4. Radford M. Neal
5. Kaiming He
6. Alex Krizhevsky
7. Yoshua Bengio
8. Alex Graves
9. Diederik P. Kingma
10. Barret Zoph

Papers from Wei Pan's perspective

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

Their papers

• BayesNAS: A Bayesian Approach for Neural Architecture Search (2019) — 221 citations
• Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning (2019) — 169 citations