Yu Qi

Computer Vision and Pattern Recognition · with Wang · 2014

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Yu Qi trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Yann LeCun
4. Pascal Vincent
5. Weifeng Liu
6. L. Eon Bottou
7. Hugo Larochelle
8. Ran He
9. Marc'Aurelio Ranzato
10. Alex Krizhevsky

Papers from Yu Qi's perspective

Ordered by how strongly the researchers Yu Qi 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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
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

• Robust feature learning by stacked autoencoder with maximum correntropy criterion (2014) — 83 citations