Yutaka Suzue

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it
• Artificial Intelligence — 5 citations into it

Whom Yutaka Suzue trusts overall

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

1. Yann LeCun
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Matthew D. Zeiler
5. L. Eon Bottou
6. Yoshua Bengio
7. Ilya Sutskever
8. Patrice Y. Simard
9. Rob Fergus
10. B. Recht

Who trusts Yutaka Suzue overall

1. Jakub Konecný
2. Dan Alistarh
3. Aaron Harlap
4. Tal Ben-Nun
5. Suyog Gupta
6. D. Narayanan
7. Hamid Reza Feyzmahdavian
8. Henggang Cui
9. Hyeontaek Lim
10. Xinghao Pan

Papers from Yutaka Suzue's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. ImageNet: A large-scale hierarchical image database
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Project Adam: Building an Efficient and Scalable Deep Learning Training System (2014) — 827 citations