Daniel Suo

Artificial Intelligence · with Beatson · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Generative Models — 5 citations into it; #677 of 1,956 by trust here, #961 by citations

Whom Daniel Suo trusts overall

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

1. Yann LeCun
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Mehdi Mirza
5. Alec Radford
6. Jimmy Ba

Who trusts Daniel Suo overall

1. Zixuan Ke
2. Bing Liu
3. Gyuhak Kim
4. Fei Ye
5. Matthias De Lange
6. Hoang Thanh-Tung
7. Yiduo Guo

Papers from Daniel Suo's perspective

Ordered by how strongly the researchers Daniel Suo 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. GENERATIVE ADVERSARIAL NETS
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. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Continual Learning in Generative Adversarial Nets (2017) — 135 citations