Nathan Burnell

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it; #18,859 of 21,575 by trust here, #17,757 by citations
• Representation & Self-Supervised Learning — 6 citations into it

Whom Nathan Burnell trusts overall

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

1. Geoffrey E. Hinton
2. L. V. D. van der Maaten
3. Rui Hu
4. Tsung-Yi Lin
5. Alex Krizhevsky

Who trusts Nathan Burnell overall

1. Wengling Chen
2. Haohan Wang
3. Qing Liu

Papers from Nathan Burnell's perspective

Ordered by how strongly the researchers Nathan Burnell 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. Microsoft COCO: Common Objects in Context
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• The sketchy database (2016) — 327 citations