Chao Qian

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Efficiency & Compression — 10 citations into it
• Artificial Intelligence — 8 citations into it

Whom Chao Qian trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Sergey Ioffe
4. Alex Krizhevsky
5. Vinod Nair
6. Christian Szegedy
7. Yoshua Bengio
8. Kaiming He
9. Yihui He
10. José Manuel Álvarez

Papers from Chao Qian's perspective

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

1. Gradient-based learning applied to document recognition
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Rectified Linear Units Improve Restricted Boltzmann Machines
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error (2018) — 47 citations