Jinlin Liu

Generative Models · 2019

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 17 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it

Whom Jinlin Liu trusts overall

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

1. Diederik P. Kingma
2. Tero Karras
3. Geoffrey E. Hinton
4. Ian J. Goodfellow
5. Tim Salimans
6. Andrew Brock
7. Alex Krizhevsky
8. Takeru Miyato
9. Yoshua Bengio
10. Karen Simonyan

Papers from Jinlin Liu's perspective

Ordered by how strongly the researchers Jinlin Liu 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• An Acceleration Framework for High Resolution Image Synthesis (2019) — 10 citations