Qiang Gao

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Meta & Continual Learning — 8 citations into it

Whom Qiang Gao trusts overall

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

1. Anthony V. Robins
2. David Lopez-Paz
3. Ju Xu
4. Jan N. van Rijn
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Marc'Aurelio Ranzato
8. Yoshua Bengio
9. Yann LeCun
10. Sylvestre-Alvise Rebuffi

Who trusts Qiang Gao overall

1. Vinay Kumar Verma
2. Kevin J Liang

Papers from Qiang Gao's perspective

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

Their papers

• Efficient Architecture Search for Continual Learning (2020) — 75 citations