Linxiao Yang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Generative Models — 34 citations into it
• Artificial Intelligence — 21 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Linxiao Yang trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Ian J. Goodfellow
6. Ngoc-Trung Tran
7. Kaiming He
8. Individualized Treat
9. Yann LeCun
10. Alec Radford

Papers from Linxiao Yang's perspective

Ordered by how strongly the researchers Linxiao Yang 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. GENERATIVE ADVERSARIAL NETS
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game (2019) — 68 citations