Xia Zhu

Computer Vision and Pattern Recognition · 2018

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

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it

Whom Xia Zhu trusts overall

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

1. Alex Krizhevsky
2. Individualized Treat
3. Sergey Zagoruyko

Papers from Xia Zhu's perspective

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

1. Learning Multiple Layers of Features from Tiny Images
2. ImageNet classification with deep convolutional neural networks
3. GENERATIVE ADVERSARIAL NETS
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Densely Connected Convolutional Networks
7. ImageNet: A large-scale hierarchical image database
8. Wide Residual Networks
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers (2018) — 267 citations