Kashu Yamazaki

Cognitive Neuroscience · 2022

A researcher in the Science corpus: 1 paper; trusts 75 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 24 citations into it
• Electrical and Electronic Engineering — 23 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Artificial Intelligence — 14 citations into it
• Model Architectures — 10 citations into it
• Cellular and Molecular Neuroscience — 7 citations into it

Whom Kashu Yamazaki trusts overall

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

1. Eugene M. Izhikevich
2. Kaiming He
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. George V. Cybenko
7. Shaoqing Ren
8. Yann LeCun
9. Evan Shelhamer
10. Karen Simonyan

Papers from Kashu Yamazaki's perspective

Ordered by how strongly the researchers Kashu Yamazaki 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Spiking Neural Networks and Their Applications: A Review (2022) — 572 citations