Shijian Tang

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it; #19,759 of 21,575 by trust here, #14,822 by citations

Whom Shijian Tang trusts overall

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

1. Karen Simonyan
2. Geoffrey E. Hinton
3. Song Han

Who trusts Shijian Tang overall

1. Lorenzo Torresani
2. Karim Ahmed

Papers from Shijian Tang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Going deeper with convolutions
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Dropout: a simple way to prevent neural networks from overfitting
6. Distilling the Knowledge in a Neural Network (arXiv.org)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• DSD: Regularizing Deep Neural Networks with Dense-Sparse-Dense Training Flow (2016) — 83 citations
• DSD: Dense-Sparse-Dense Training for Deep Neural Networks (2016) — 219 citations