Shion Honda

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Computational Theory and Mathematics — 14 citations into it
• Materials Chemistry — 11 citations into it
• Computational Chemistry & Drug Discovery — 7 citations into it
• Molecular Biology — 7 citations into it
• Natural Language Processing — 7 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Shion Honda trusts overall

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

1. Diederik P. Kingma
2. Ilya Sutskever
3. Kaiming He
4. Geoffrey E. Hinton
5. Esben Jannik Bjerrum
6. Yoshua Bengio
7. Jimmy Ba
8. Alex Krizhevsky
9. Max Welling
10. Oriol Vinyals

Who trusts Shion Honda overall

1. Yuanqi Du
2. Tianfan Fu

Papers from Shion Honda's perspective

Ordered by how strongly the researchers Shion Honda trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Going deeper with convolutions
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery (2019) — 269 citations