Hiroki Shimanaka

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #15,269 of 35,345 by trust here, #19,439 by citations
• Natural Language Processing — 11 citations into it; #2,778 of 5,688 by trust here, #3,826 by citations
• Evaluation & Benchmarks — 9 citations into it; #1,392 of 3,147 by trust here, #2,330 by citations
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Hiroki Shimanaka trusts overall

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

1. Ondrej Bojar
2. Chin-Yew Lin
3. Lajanugen Logeswaran
4. Jesús Giménez
5. Samuel R. Bowman
6. Miloš Stanojević
7. Amir Kamran
8. Richard Socher
9. Kai Sheng Tai
10. Yvette Graham

Who trusts Hiroki Shimanaka overall

1. Ricardo Rei
2. Brian Thompson
3. Wangchunshu Zhou
4. Ananya B. Sai
5. Wenda Xu
6. Moussa Kamal Eddine
7. Tianyi Zhang
8. Matt Post
9. Ke Xu
10. Akash Kumar Mohankumar

Papers from Hiroki Shimanaka's perspective

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

1. Long Short-Term Memory
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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• RUSE: Regressor Using Sentence Embeddings for Automatic Machine Translation Evaluation (2018) — 106 citations