Hiroyuki Shindo

Artificial Intelligence · 2012–2020

A researcher in the Science corpus: 5 papers; trusts 137 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 94 citations into it; #7,477 of 35,345 by trust here, #8,157 by citations
• Natural Language Processing — 88 citations into it; #1,591 of 5,688 by trust here, #2,263 by citations
• Representation & Self-Supervised Learning — 31 citations into it; #2,111 of 3,145 by trust here, #2,691 by citations
• Computer Vision and Pattern Recognition — 16 citations into it; #15,613 of 21,575 by trust here, #17,757 by citations
• Information Systems — 10 citations into it
• Information Extraction — 8 citations into it
• Safety, Robustness & Interpretability — 8 citations into it; #1,641 of 2,251 by trust here, #2,041 by citations
• Model Architectures — 6 citations into it

Whom Hiroyuki Shindo trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Slav Petrov
4. Diederik P. Kingma
5. Yee Whye Teh
6. Ilya Sutskever
7. Alex Krizhevsky
8. Christopher D. Manning
9. Yann LeCun
10. Tomas Mikolov

Who trusts Hiroyuki Shindo overall

1. Phong Le
2. Samuel Broscheit
3. Greg Durrett
4. Ikuya Yamada
5. Jonathan Raiman
6. Ivan Titov
7. Nicola De Cao
8. Pedro Henrique Martins
9. Octavian-Eugen Ganea
10. Yasumasa Onoe

Papers from Hiroyuki Shindo's perspective

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

Their papers

• Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation (2016) — 337 citations
• LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention (2020) — 780 citations
• Learning Distributed Representations of Texts and Entities from Knowledge Base (2017) — 103 citations
• Interpretable Adversarial Perturbation in Input Embedding Space for Text (2018) — 208 citations
• Bayesian Symbol-Refined Tree Substitution Grammars for Syntactic Parsing (2012) — 58 citations