Michelle R. Greene
Cognitive Neuroscience · 2008
A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 19 citations into it; #6,161 of 10,852 by trust here, #8,899 by citations
- Computer Vision and Pattern Recognition — 18 citations into it; #14,354 of 21,575 by trust here, #18,266 by citations
Whom Michelle R. Greene trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Aude Oliva
- Li Fei-Fei
- Antonio Torralba
- Pietro Perona
- Rob Fergus
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- David G. Lowe
- Andrew Zisserman
Who trusts Michelle R. Greene overall
Papers from Michelle R. Greene's perspective
Ordered by how strongly the researchers Michelle R. Greene 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge