Hiroto Imachi

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Artificial Intelligence — 8 citations into it
• Optimization & Training — 8 citations into it

Whom Hiroto Imachi trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Kaiming He
4. Karen Simonyan
5. Geoffrey E. Hinton
6. Ilya Sutskever
7. Nikko Ström
8. Christian Szegedy
9. Andrew Zisserman
10. Jimmy Ba

Papers from Hiroto Imachi's perspective

Ordered by how strongly the researchers Hiroto Imachi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet Large Scale Visual Recognition Challenge
5. Learning Multiple Layers of Features from Tiny Images
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Going deeper with convolutions
10. ImageNet: A large-scale hierarchical image database

Their papers

• Variance-based Gradient Compression for Efficient Distributed Deep Learning (2018) — 91 citations