Zixia Liu

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Generative Models — 30 citations into it
• Artificial Intelligence — 20 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Optimization & Training — 5 citations into it

Whom Zixia Liu trusts overall

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

1. Diederik P. Kingma
2. Alex Krizhevsky
3. Augustus Odena
4. Geoffrey E. Hinton
5. Yann LeCun
6. Yoshua Bengio
7. L. Eon Bottou
8. Danilo Jimenez Rezende
9. Max Welling
10. Individualized Treat

Papers from Zixia Liu's perspective

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

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

Their papers

• Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect (2018) — 281 citations