Hiroshi Noji

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it; #32,144 of 35,345 by trust here, #21,878 by citations
• Natural Language Processing — 45 citations into it; #5,166 of 5,688 by trust here, #4,449 by citations
• Computer Vision and Pattern Recognition — 18 citations into it
• Model Architectures — 14 citations into it
• Optimization & Training — 5 citations into it

Whom Hiroshi Noji trusts overall

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

1. Yoshua Bengio
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Jean-Pierre Koenig
5. Christopher D. Manning
6. Ilya Sutskever
7. Sepp Hochreiter
8. Alex Krizhevsky
9. Oriol Vinyals
10. Yann LeCun

Who trusts Hiroshi Noji overall

1. Craig Thomson
2. Ehud Reiter

Papers from Hiroshi Noji's perspective

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

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

Their papers

• Learning to Select, Track, and Generate for Data-to-Text (2019) — 50 citations
• CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters (2020) — 178 citations
• A* CCG Parsing with a Supertag and Dependency Factored Model (2017) — 69 citations