Ryuichi Kiryo

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #30,703 of 35,345 by trust here, #23,077 by citations
• Optimization & Training — 5 citations into it

Whom Ryuichi Kiryo trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Yann LeCun
5. Vladimir Koltchinskii
6. Marthinus Christoffel du Plessis
7. Sergey Ioffe
8. Xavier Glorot
9. Vinod Nair
10. Alex Krizhevsky

Who trusts Ryuichi Kiryo overall

1. Danfei Xu
2. Sana Tonekaboni
3. Hongxin Wei
4. Ching-Yao Chuang
5. Xingrui Yu
6. A. Irpan
7. Misha Denil
8. Bo Han
9. Danny Eytan
10. Lei Feng

Papers from Ryuichi Kiryo's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Positive-Unlabeled Learning with Non-Negative Risk Estimator (2017) — 603 citations