Masashi Yoshikawa

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Natural Language Processing — 9 citations into it
• Model Architectures — 5 citations into it

Whom Masashi Yoshikawa trusts overall

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

1. Jean-Pierre Koenig
2. Christopher D. Manning
3. Stephen Clark
4. Julia Hockenmaier
5. Taku Kudo
6. Timothy Dozat
7. Michael Lewis
8. Djork-Arné Clevert
9. Kristina Toutanova
10. Chris Dyer

Papers from Masashi Yoshikawa's perspective

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

Their papers

• A* CCG Parsing with a Supertag and Dependency Factored Model (2017) — 69 citations