Yuki Yamanaka

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 81 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it; #31,528 of 35,345 by trust here, #25,809 by citations
• Computer Vision and Pattern Recognition — 27 citations into it; #19,358 of 21,575 by trust here, #18,782 by citations
• Generative Models — 17 citations into it; #1,747 of 1,956 by trust here, #1,796 by citations
• Model Architectures — 14 citations into it
• Optimization & Training — 10 citations into it
• Natural Language Processing — 9 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it
• Signal Processing — 7 citations into it; #6,813 of 7,572 by trust here, #6,083 by citations

Whom Yuki Yamanaka trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Ilya Sutskever
5. Alex Krizhevsky
6. Alex Graves
7. Kaiming He
8. Danilo Jimenez Rezende
9. Ruslan Salakhutdinov
10. Radford M. Neal

Who trusts Yuki Yamanaka overall

1. Arash Vahdat

Papers from Yuki Yamanaka's perspective

Ordered by how strongly the researchers Yuki Yamanaka 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
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. GENERATIVE ADVERSARIAL NETS

Their papers

• Variational Autoencoder with Implicit Optimal Priors (2018) — 70 citations
• Sigsoftmax: Reanalysis of the Softmax Bottleneck (2018) — 78 citations