Ryan Nash

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #13,799 of 21,575 by trust here, #15,955 by citations
• Artificial Intelligence — 9 citations into it; #22,299 of 35,345 by trust here, #24,417 by citations

Whom Ryan Nash trusts overall

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

1. Geoffrey E. Hinton
2. Dan Claudiu Ciresan

Who trusts Ryan Nash overall

1. Soheila Saeedi
2. Wei Zhang

Papers from Ryan Nash's perspective

Ordered by how strongly the researchers Ryan Nash trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• An Introduction to Convolutional Neural Networks (2015) — 4,138 citations