Alex Davies

Artificial Intelligence · 2012–2014

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Natural Language Processing — 13 citations into it
• Information Systems — 12 citations into it
• Management Science and Operations Research — 10 citations into it
• Knowledge Graphs & Representation — 9 citations into it
• Computer Networks and Communications — 8 citations into it
• Information Retrieval & Search — 6 citations into it

Whom Alex Davies trusts overall

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

1. Ralf Herbrich
2. Jonathan Richard Shewchuk
3. Tommi S. Jaakkola
4. Martin Ester
5. Jerome H. Friedman
6. David Haussler
7. Hans-Peter Kriegel
8. Saul A. Teukolsky
9. Dekang Lin
10. Wei Hu

Who trusts Alex Davies overall

1. Gérard Biau

Papers from Alex Davies's perspective

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

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

Their papers

• SIGMa: simple greedy matching for aligning large knowledge bases (2012) — 201 citations
• The Random Forest Kernel and other kernels for big data from random partitions (2014) — 72 citations