Sarah Young

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 22 citations into it
• Reinforcement Learning — 15 citations into it

Whom Sarah Young trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Johannes L. Schönberger
5. Dean A. Pomerleau
6. Stéphane Ross
7. William D. Smart
8. Kevin M. Lynch
9. Ilya Sutskever
10. Yoshua Bengio

Who trusts Sarah Young overall

1. Albert Zhan
2. Shikhar Bahl

Papers from Sarah Young's perspective

Ordered by how strongly the researchers Sarah Young 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. 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. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A scoping review of market links between value chain actors and small-scale producers in developing regions (2020) — 141 citations
• Visual Imitation Made Easy (2020) — 163 citations