Nobuyuki Shimizu

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 124 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Computer Vision and Pattern Recognition — 31 citations into it
• Information Systems — 18 citations into it
• Natural Language Processing — 10 citations into it
• Multimodal Learning — 9 citations into it
• Recommender Systems — 8 citations into it

Whom Nobuyuki Shimizu trusts overall

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

1. Karen Simonyan
2. Geoffrey E. Hinton
3. Yann LeCun
4. Kunihiko Fukushima
5. Diederik P. Kingma
6. Yoshua Bengio
7. Alex Krizhevsky
8. Ruslan Salakhutdinov
9. Andrew Zisserman
10. Kaiming He

Who trusts Nobuyuki Shimizu overall

1. Mingyang Zhou
2. Luowei Zhou

Papers from Nobuyuki Shimizu's perspective

Ordered by how strongly the researchers Nobuyuki Shimizu 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
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

• Cross-domain Recommendation via Deep Domain Adaptation (2018) — 99 citations
• Visual Question Answering Dataset for Bilingual Image Understanding: A Study of Cross-Lingual Transfer Using Attention Maps (2018) — 41 citations