Hiroshi Abe

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it

Whom Hiroshi Abe trusts overall

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

1. Karen Simonyan
2. Francis R. Bach
3. Geoffrey E. Hinton
4. Behnam Neyshabur
5. Alex Krizhevsky
6. Kaiming He
7. Yann LeCun
8. Yoshua Bengio
9. Andrew Zisserman
10. Jia Deng

Papers from Hiroshi Abe's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Gradient-based learning applied to document recognition
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Spectral-Pruning: Compressing deep neural network via spectral analysis (2018) — 12 citations