Jonathan Aigrain

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Information Systems — 6 citations into it

Whom Jonathan Aigrain trusts overall

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

1. Iroon Polytechniou
2. Jeff Yan
3. Aniket Kittur
4. Elie Bursztein
5. Yann LeCun
6. Jitendra Kumar
7. Quoc V. Le
8. Geoffrey E. Hinton

Who trusts Jonathan Aigrain overall

1. Tuan Anh Le
2. José Hernandez-Orallo

Papers from Jonathan Aigrain's perspective

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

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

Their papers

• The End is Nigh: Generic Solving of Text-based CAPTCHAs (2014) — 157 citations