David Lyndon

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it
• Artificial Intelligence — 13 citations into it

Whom David Lyndon trusts overall

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

1. Radford M. Neal
2. Alex Krizhevsky
3. Yoshua Bengio
4. Kaiming He
5. Geoffrey E. Hinton
6. Andrea Vedaldi
7. Jia Deng
8. Ilya Sutskever
9. Christian Szegedy
10. Karen Simonyan

Papers from David Lyndon's perspective

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

Their papers

• An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification (2017) — 473 citations