Yiren Zhou

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it; #13,331 of 21,575 by trust here, #17,757 by citations
• Artificial Intelligence — 6 citations into it

Whom Yiren Zhou trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Andrea Vedaldi
5. Jia Deng
6. Yoshua Bengio
7. Ilya Sutskever
8. Kaiming He
9. Karen Simonyan
10. L. Eon Bottou

Who trusts Yiren Zhou overall

1. Samuel F. Dodge
2. Lina Karam
3. Robert Geirhos
4. Carlos R. Medina Temme

Papers from Yiren Zhou's perspective

Ordered by how strongly the researchers Yiren Zhou 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• On classification of distorted images with deep convolutional neural networks (2017) — 121 citations