Matthew R. Orton
Computer Vision and Pattern Recognition · 2013
A researcher in the Science corpus: 1 paper; trusts 73 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 23 citations into it; #12,562 of 21,575 by trust here, #9,079 by citations
- Artificial Intelligence — 12 citations into it; #20,266 of 35,345 by trust here, #13,163 by citations
- Optimization & Training — 6 citations into it
Whom Matthew R. Orton trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Yann LeCun
- David G. Lowe
- Hugo Larochelle
- Alex Krizhevsky
- Rob Fergus
- Diederik P. Kingma
- Quoc V. Le
- Marc'Aurelio Ranzato
Who trusts Matthew R. Orton overall
- Junwei Han
- Dinggang Shen
- Dingwen Zhang
- Heung-Il Suk
- Bo Du
- Xiwen Yao
- Fan Zhang
- Yanrong Guo
- Justin Ker
Papers from Matthew R. Orton's perspective
Ordered by how strongly the researchers Matthew R. Orton trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)