Shigeru Kiryu
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it
- Model Architectures — 6 citations into it
Whom Shigeru Kiryu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Shigeru Kiryu's perspective
Ordered by how strongly the researchers Shigeru Kiryu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet classification with deep convolutional neural networks
- Dropout: a simple way to prevent neural networks from overfitting
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Gradient-based learning applied to document recognition
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Multitask Learning
- Long Short-Term Memory