Yushi Ihara

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Model Architectures — 10 citations into it

Whom Yushi Ihara trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Taco Cohen
3. Geoffrey E. Hinton
4. Vinod Nair
5. Max Welling
6. Seiichi Koshizuka
7. Christophe Geuzaine

Papers from Yushi Ihara's perspective

Ordered by how strongly the researchers Yushi Ihara trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Rectified Linear Units Improve Restricted Boltzmann Machines
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. The Graph Neural Network Model
10. ImageNet: A large-scale hierarchical image database

Their papers

• Isometric Transformation Invariant and Equivariant Graph Convolutional Networks (2020) — 25 citations