Hiroshi Inoue

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 65 researchers and is trusted by 62 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #2,624 of 35,345 by trust here, #16,471 by citations
• Computer Vision and Pattern Recognition — 7 citations into it; #3,152 of 21,575 by trust here, #11,083 by citations
• Optimization & Training — 5 citations into it

Whom Hiroshi Inoue trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Christian Szegedy
4. Sergey Ioffe
5. Ilya Sutskever
6. Seiya Tokui
7. Luis Perez
8. Marzieh Fadaee
9. Hongyi Zhang
10. Nitesh V. Chawla

Who trusts Hiroshi Inoue overall

1. Ekin Dogus Cubuk
2. Raphael Gontijo Lopes
3. Connor Shorten
4. Cecilia Summers
5. Adamu Ali-Gombe
6. Barret Zoph
7. Qiang Wang
8. Alireza Naghizadeh
9. Khaled Alomar
10. Ekin Akyürek

Papers from Hiroshi Inoue's perspective

Ordered by how strongly the researchers Hiroshi Inoue 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Data Augmentation by Pairing Samples for Images Classification (2018) — 470 citations