Shuang Liu

Artificial Intelligence · with Bousquet · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Generative Models — 7 citations into it; #852 of 1,956 by trust here, #1,435 by citations
• Computer Vision and Pattern Recognition — 6 citations into it; #8,990 of 21,575 by trust here, #13,269 by citations

Whom Shuang Liu trusts overall

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

1. Individualized Treat
2. Yujia Li
3. Gintare Karolina Dziugaite
4. Aude Genevay
5. Ishaan Gulrajani
6. Jinsung Yoon
7. Cédric Villani
8. Kevin Swersky
9. Edward W. Packel
10. Geoffrey E. Hinton

Who trusts Shuang Liu overall

1. Gauthier Gidel
2. Jiaming Song
3. Hugo Berard
4. Tengyuan Liang
5. L. Eon Bottou
6. Mikolaj Binkowski
7. Pascal Vincent
8. Gabriel Huang
9. Stefano Ermon
10. Simon Lacoste-Julien

Papers from Shuang Liu's perspective

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

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

Their papers

• Approximation and Convergence Properties of Generative Adversarial Learning (2017) — 145 citations