Matthew Cook
Artificial Intelligence · with Ashcraft
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it
Whom Matthew Cook trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Matthew Cook's perspective
Ordered by how strongly the researchers Matthew Cook 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge