Shigefumi Yamada
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 13 citations into it
- Artificial Intelligence — 10 citations into it
- Efficiency & Compression — 8 citations into it
- Model Architectures — 7 citations into it
Whom Shigefumi Yamada trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Shigefumi Yamada's perspective
Ordered by how strongly the researchers Shigefumi Yamada 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
- Distilling the Knowledge in a Neural Network (arXiv.org)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Densely Connected Convolutional Networks
- ImageNet Large Scale Visual Recognition Challenge