George Pu

Artificial Intelligence · with Li · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Optimization & Training — 13 citations into it

Whom George Pu trusts overall

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

1. David Ruppert
2. Boris Polyak
3. Yoshua Bengio
4. Yann LeCun
5. Geoffrey E. Hinton
6. Sai Praneeth Karimireddy
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Xavier Glorot
10. Mohammad Mohammadi Amiri

Who trusts George Pu overall

1. Chaoyang He

Papers from George Pu's perspective

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

Their papers

• Distilled One-Shot Federated Learning (2020) — 192 citations
• Server Averaging for Federated Learning (2021) — 4 citations