Lu Yuqin

Generative Models · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 14 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Artificial Intelligence — 8 citations into it

Whom Lu Yuqin trusts overall

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

1. Diederik P. Kingma
2. Alec Radford
3. Geoffrey E. Hinton
4. Antonio Torralba
5. Ian J. Goodfellow
6. Jimmy Ba
7. Alex Krizhevsky
8. Adam Coates
9. Yoshua Bengio
10. Tim Salimans

Papers from Lu Yuqin's perspective

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

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

Their papers

• Improved Training of Spectral Normalization Generative Adversarial Networks (2020) — 14 citations