Akihiro Nakamura

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 241 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Optimization & Training — 6 citations into it

Whom Akihiro Nakamura trusts overall

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

1. Alex Graves
2. Diederik P. Kingma
3. Kaiming He
4. Geoffrey E. Hinton
5. Matthew D. Zeiler
6. Karen Simonyan
7. Ross B. Girshick
8. Alex Krizhevsky
9. Yoshua Bengio
10. Bharath Hariharan

Who trusts Akihiro Nakamura overall

1. Yisheng Song
2. Chengyu Wang
3. Alexander Kolesnikov
4. Jianing Wang
5. Ting-Yuan Wang

Papers from Akihiro Nakamura's perspective

Ordered by how strongly the researchers Akihiro Nakamura 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. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Revisiting Fine-tuning for Few-shot Learning (2019) — 67 citations