Zhaoquan Gu

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 21 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 — 30 citations into it
• Safety, Robustness & Interpretability — 13 citations into it

Whom Zhaoquan Gu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Dan Hendrycks
4. Kaiming He

Papers from Zhaoquan Gu's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. ImageNet: A large-scale hierarchical image database
3. Learning Multiple Layers of Features from Tiny Images
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. GENERATIVE ADVERSARIAL NETS
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue (2021) — 35 citations