Hirokazu Narui

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #20,119 of 35,345 by trust here, #10,207 by citations
• Representation & Self-Supervised Learning — 15 citations into it; #2,030 of 3,145 by trust here, #1,338 by citations
• Computer Vision and Pattern Recognition — 11 citations into it
• Optimization & Training — 7 citations into it

Whom Hirokazu Narui trusts overall

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

1. Yoshua Bengio
2. Shai Ben-David
3. Takeru Miyato
4. Geoffrey E. Hinton
5. James Martens
6. Razvan Pascanu
7. Joey Wilson
8. Alex Krizhevsky
9. Diederik P. Kingma
10. Olivier Chapelle

Who trusts Hirokazu Narui overall

1. Yanchao Yang
2. Jian Liang
3. Shen Yan
4. Rui Shu

Papers from Hirokazu Narui's perspective

Ordered by how strongly the researchers Hirokazu Narui 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. Gradient-based learning applied to document recognition
5. GENERATIVE ADVERSARIAL NETS
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A DIRT-T Approach to Unsupervised Domain Adaptation (2018) — 665 citations
• A Survey on Behavior Recognition Using WiFi Channel State Information (2017) — 558 citations