Kazuo Aoyama

Signal Processing · 2011–2014

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 13 citations into it
• Computer Networks and Communications — 5 citations into it

Whom Kazuo Aoyama trusts overall

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

1. David R Karger
2. Robert Krauthgamer
3. Yann LeCun
4. Gregory Shakhnarovich
5. L. Eon Bottou
6. Yoshua Bengio
7. Trevor Darrell
8. M. Ruhl
9. James R. Lee
10. Piotr Indyk

Who trusts Kazuo Aoyama overall

1. Mengzhao Wang
2. Jeff Johnson
3. Xiaoliang Xu
4. Jingdong Wang

Papers from Kazuo Aoyama's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Going deeper with convolutions
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

• Efficient K-Nearest Neighbor Graph Construction Using MapReduce for Large-Scale Data Sets (2014) — 11 citations
• Fast approximate similarity search based on degree-reduced neighborhood graphs (2011) — 44 citations