Leigh Robinson

Computer Vision and Pattern Recognition · with Graham · 2015

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it
• Artificial Intelligence — 5 citations into it

Whom Leigh Robinson trusts overall

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

1. Christian Szegedy
2. Alex Krizhevsky
3. Ian J. Goodfellow
4. Ilya Sutskever
5. Geoffrey E. Hinton
6. Yangqing Jia
7. Kaiming He
8. Yoshua Bengio
9. Yann LeCun
10. Ross B. Girshick

Who trusts Leigh Robinson overall

1. Alexander A. Alemi

Papers from Leigh Robinson's perspective

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

Their papers

• Confusing Deep Convolution Networks by Relabelling (2015) — 3 citations