Hayato Kobayashi

Artificial Intelligence · 2009–2018

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 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 Hayato Kobayashi trusts overall

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

1. Leslie G. Valiant
2. Dana Angluin
3. Ayumi Shinohara
4. Frank J. Balbach
5. Ruslan Salakhutdinov
6. Sally A. Goldman
7. Geoffrey E. Hinton
8. Diederik P. Kingma
9. Yoshua Bengio
10. Alex Krizhevsky

Who trusts Hayato Kobayashi overall

1. Xiaojin Zhu
2. Faisal Khan
3. Bilge Mutlu
4. Ji Liu

Papers from Hayato Kobayashi's perspective

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

Their papers

• Cross-domain Recommendation via Deep Domain Adaptation (2018) — 99 citations
• Complexity of Teaching by a Restricted Number of Examples (2009) — 17 citations