William A. Starms
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 18 citations into it
- Media Technology — 11 citations into it
- Artificial Intelligence — 7 citations into it
Whom William A. Starms trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Ilya Sutskever
- Yoshua Bengio
- Christian Szegedy
- Xavier Glorot
- Yann LeCun
- Yi Yang
- Karen Simonyan
Papers from William A. Starms's perspective
Ordered by how strongly the researchers William A. Starms 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)
- Going deeper with convolutions
- 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge