Yun Zhang
Computer Vision and Pattern Recognition · with Amolins · 2007–2018
A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 28 citations into it; #11,680 of 21,575 by trust here, #16,787 by citations
- Media Technology — 19 citations into it; #1,657 of 3,621 by trust here, #1,696 by citations
- Artificial Intelligence — 10 citations into it
- Model Architectures — 8 citations into it
Whom Yun Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yann LeCun
- Kaiming He
- Karen Simonyan
- Yoshua Bengio
- Christian Szegedy
Who trusts Yun Zhang overall
Papers from Yun Zhang's perspective
Ordered by how strongly the researchers Yun Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Long Short-Term Memory
- A Fast Learning Algorithm for Deep Belief Nets
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)