Luke Taylor

Computer Vision and Pattern Recognition · 1 papers · 2018

A researcher in the Science corpus: 1 paper; trusts 183 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #9,486 of 21,575 by trust here, #18,266 by citations
• Artificial Intelligence — 11 citations into it; #14,691 of 35,345 by trust here, #28,481 by citations

Whom Luke Taylor trusts overall

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

1. Karen Simonyan
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Yurii E. Nesterov
5. Geoffrey E. Hinton
6. Kaiming He
7. Yoshua Bengio
8. Matthew D. Zeiler
9. Andrew Zisserman
10. Andrew G. Howard

Who trusts Luke Taylor overall

1. Mohammad Mahdi Bejani
2. Markus Bayer
3. Mingle Xu
4. Jiaao Chen
5. Mehdi Ghatee
6. Marc-André Kaufhold
7. Sook Yoon
8. Derek Tam
9. Christian Reuter
10. Khaled Alomar

Papers from Luke Taylor's perspective

Ordered by how strongly the researchers Luke Taylor 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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Improving Deep Learning with Generic Data Augmentation (2018) — 411 citations