Andrew S. Davis

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #12,846 of 35,345 by trust here, #19,873 by citations
• Computer Vision and Pattern Recognition — 7 citations into it; #8,726 of 21,575 by trust here, #13,269 by citations
• Optimization & Training — 5 citations into it

Whom Andrew S. Davis trusts overall

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

1. Rasmus Berg Palm
2. Jimmy Ba
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Nitish Srivastava
7. Brendan J. Frey
8. Ilya Sutskever
9. Yann LeCun
10. Marc'Aurelio Ranzato

Who trusts Andrew S. Davis overall

1. Biao Zhang
2. Zhourong Chen
3. Tailin Liang
4. Guillaume Alain
5. Yang Shu
6. Ankur Bapna
7. Mikel Artetxe
8. Yang Li
9. C. John Glossner
10. Alex Lamb

Papers from Andrew S. Davis's perspective

Ordered by how strongly the researchers Andrew S. Davis 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks (2013) — 88 citations