Cheng Guo

Artificial Intelligence · with Berkhahn · 2016

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #22,461 of 35,345 by trust here, #25,040 by citations
• Representation & Self-Supervised Learning — 10 citations into it
• Natural Language Processing — 9 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Cheng Guo trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Tomas Mikolov
5. Joseph B. Kruskal
6. Ilya Sutskever
7. Alex Krizhevsky
8. Yann LeCun
9. L. V. D. van der Maaten
10. Jimmy Ba

Who trusts Cheng Guo overall

1. Håvard Kvamme
2. Yihong Chen
3. Johannes Jurgovsky
4. Arvid Lundervold
5. Ørnulf Borgan
6. Bei Chen
7. Michael Granitzer
8. Ida Scheel
9. Nick Erickson

Papers from Cheng Guo's perspective

Ordered by how strongly the researchers Cheng Guo 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Entity Embeddings of Categorical Variables (2016) — 457 citations