Kyle Dunphy
Civil and Structural Engineering · 2021
A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Civil and Structural Engineering — 32 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Mechanical Engineering — 7 citations into it
- Ocean Engineering — 6 citations into it
- Model Architectures — 5 citations into it
Whom Kyle Dunphy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xiao Liang
- Karen Simonyan
- Kaiming He
- Ya-dong Xue
- Fu-Chen Chen
- Jack C. P. Cheng
- Geoffrey E. Hinton
- Andrew Zisserman
- Shengyuan Li
- Sandeep Sony
Papers from Kyle Dunphy's perspective
Ordered by how strongly the researchers Kyle Dunphy trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)