Akinori Tanaka

Generative Models · 2019

A researcher in the Science corpus: 1 paper; trusts 104 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 25 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it; #4,471 of 21,575 by trust here, #17,258 by citations
• Artificial Intelligence — 11 citations into it; #5,415 of 35,345 by trust here, #26,682 by citations
• Optimization & Training — 5 citations into it

Whom Akinori Tanaka trusts overall

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

1. Ian J. Goodfellow
2. Takeru Miyato
3. Mehdi Mirza
4. Diederik P. Kingma
5. Geoffrey E. Hinton
6. Christian Szegedy
7. Yoshua Bengio
8. Alex Krizhevsky
9. Han Zhang
10. Yann LeCun

Who trusts Akinori Tanaka overall

1. Michael Arbel
2. Zhisheng Xiao
3. Abdul Fatir Ansari
4. Sangwoo Mo
5. Derek Onken
6. Yuxuan Song
7. Tong Che
8. Liang Zhou
9. M. L. Ang
10. Qing Yan

Papers from Akinori Tanaka's perspective

Ordered by how strongly the researchers Akinori Tanaka 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Discriminator optimal transport (2019) — 55 citations