Kevin Jarrett

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 69 researchers and is trusted by 2,843 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #724 of 21,575 by trust here, #1,620 by citations
• Artificial Intelligence — 9 citations into it; #907 of 35,345 by trust here, #2,214 by citations
• Representation & Self-Supervised Learning — 7 citations into it

Whom Kevin Jarrett trusts overall

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

1. Yann LeCun
2. David G. Lowe
3. Fu Jie Huang
4. Geoffrey E. Hinton
5. Navneet Dalal
6. Marc'Aurelio Ranzato
7. Yoshua Bengio
8. L. Eon Bottou
9. Li Fei-Fei
10. Honglak Lee

Who trusts Kevin Jarrett overall

1. Yoshua Bengio
2. Yann LeCun
3. Quoc V. Le
4. Chunyuan Li
5. Ian J. Goodfellow
6. Trevor Darrell
7. Wanli Ouyang
8. Sergey Levine
9. Xiaogang Wang
10. Dacheng Tao

Papers from Kevin Jarrett's perspective

Ordered by how strongly the researchers Kevin Jarrett 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• What is the best multi-stage architecture for object recognition? (2009) — 2,391 citations