Heishiro Kanagawa

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Information Systems — 18 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Recommender Systems — 8 citations into it

Whom Heishiro Kanagawa trusts overall

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

1. Ruslan Salakhutdinov
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Yaroslav Ganin
7. Andriy Mnih
8. Ilya Sutskever
9. Kaiming He
10. Jimmy Ba

Papers from Heishiro Kanagawa's perspective

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

Their papers

• Cross-domain Recommendation via Deep Domain Adaptation (2018) — 99 citations