Clayton A. Turner

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Natural Language Processing — 5 citations into it

Whom Clayton A. Turner trusts overall

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

1. Thorsten Joachims
2. David D. Lewis
3. Olivier Bodenreider
4. Nitish Srivastava
5. Jin Huang
6. Tomas Mikolov
7. Pascal Vincent
8. Ruslan Salakhutdinov
9. Yoshua Bengio
10. Geoffrey E. Hinton

Who trusts Clayton A. Turner overall

1. Irena Spasic
2. Goran Nenadic

Papers from Clayton A. Turner's perspective

Ordered by how strongly the researchers Clayton A. Turner 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. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Word2Vec inversion and traditional text classifiers for phenotyping lupus (2017) — 64 citations