Kotaro Nakayama

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it; #14,092 of 21,575 by trust here, #11,286 by citations
• Artificial Intelligence — 11 citations into it; #18,934 of 35,345 by trust here, #16,771 by citations
• Generative Models — 10 citations into it; #1,343 of 1,956 by trust here, #1,262 by citations
• Statistics and Probability — 7 citations into it

Whom Kotaro Nakayama trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Peter Filzmoser

Who trusts Kotaro Nakayama overall

1. Balaji Lakshminarayanan
2. Ferenc Huszár

Papers from Kotaro Nakayama's perspective

Ordered by how strongly the researchers Kotaro Nakayama 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. Learning Multiple Layers of Features from Tiny Images
3. GENERATIVE ADVERSARIAL NETS
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Improved Techniques for Training GANs
8. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
9. ImageNet: A large-scale hierarchical image database
10. Long Short-Term Memory

Their papers

• Generative Adversarial Nets from a Density Ratio Estimation Perspective (2016) — 106 citations