Xin Yao

Computer Vision and Pattern Recognition · with Tao · 2018

A researcher in the Science corpus: 1 paper; trusts 135 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it
• Generative Models — 34 citations into it
• Artificial Intelligence — 31 citations into it

Whom Xin Yao trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yoshua Bengio
5. Ian J. Goodfellow
6. Yann LeCun
7. Kaiming He
8. Christian Szegedy
9. Ilya Sutskever
10. Alec Radford

Papers from Xin Yao's perspective

Ordered by how strongly the researchers Xin Yao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Learning Multiple Layers of Features from Tiny Images
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Evolutionary Generative Adversarial Networks (2018) — 329 citations