Shotaro Sano

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 90 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Artificial Intelligence — 23 citations into it; #28,665 of 35,345 by trust here, #13,353 by citations
• Optimization & Training — 8 citations into it

Whom Shotaro Sano trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. James Bergstra
4. Ross B. Girshick
5. Frank Hutter
6. Kaiming He
7. Yoshua Bengio
8. Ilya Sutskever
9. Wes McKinney
10. Yann LeCun

Who trusts Shotaro Sano overall

1. Artur Meller
2. Ivan Rubachev
3. Kenta Oono
4. Mert Bulent Sariyildiz
5. Clara Vania
6. Shion Honda
7. Akim Kotelnikov

Papers from Shotaro Sano's perspective

Ordered by how strongly the researchers Shotaro Sano 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Optuna: A Next-generation Hyperparameter Optimization Framework (2019) — 10,668 citations
• Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects (2018) — 46 citations