D. Sher
Computer Vision and Pattern Recognition · 2018
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
- Computer Vision and Pattern Recognition — 12 citations into it
Whom D. Sher trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from D. Sher's perspective
Ordered by how strongly the researchers D. Sher trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Backpropagation Applied to Handwritten Zip Code Recognition
- ImageNet classification with deep convolutional neural networks
- Fully convolutional networks for semantic segmentation
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)