Yoichi Hayashi

Artificial Intelligence · 2000–2017

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #14,225 of 35,345 by trust here, #18,586 by citations

Whom Yoichi Hayashi trusts overall

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

1. Leo Breiman
2. Stephen I. Gallant
3. J. Ross Quinlan
4. Yann LeCun
5. Son Dinh Tran
6. G. Huang
7. Zhi-Hua Zhou
8. Wlodzislaw Duch
9. Wouter Verbeke
10. Joachim Diederich

Who trusts Yoichi Hayashi overall

1. Urszula Markowska-Kaczmar
2. Andreas Holzinger
3. Hai-Jun Rong
4. Pawel Wnuk-Lipinski

Papers from Yoichi Hayashi's perspective

Ordered by how strongly the researchers Yoichi Hayashi 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. Bagging Predictors
8. Learning Multiple Layers of Features from Tiny Images
9. The mnist database of handwritten digits
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Characterization of Symbolic Rules Embedded in Deep DIMLP Networks: A Challenge to Transparency of Deep Learning (2017) — 92 citations
• Neuro-fuzzy rule generation: survey in soft computing framework (2000) — 784 citations