Hiroya Takamura

Natural Language Processing · 2005–2021

A researcher in the Science corpus: 6 papers; trusts 92 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 93 citations into it; #3,264 of 5,688 by trust here, #2,634 by citations
• Artificial Intelligence — 88 citations into it; #10,434 of 35,345 by trust here, #9,170 by citations
• Computer Vision and Pattern Recognition — 29 citations into it
• Model Architectures — 20 citations into it; #1,485 of 2,278 by trust here, #1,352 by citations
• Evaluation & Benchmarks — 10 citations into it
• Optimization & Training — 7 citations into it
• Information Systems — 5 citations into it; #7,696 of 8,771 by trust here, #6,770 by citations

Whom Hiroya Takamura trusts overall

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

1. Peter D. Turney
2. Yoshua Bengio
3. Ilya Sutskever
4. Diederik P. Kingma
5. Geoffrey E. Hinton
6. Stuart Geman
7. Sepp Hochreiter
8. Minqing Hu
9. Bo Pang
10. Alex Graves

Who trusts Hiroya Takamura overall

1. Lei Zhang
2. Hassan Saif
3. Lun-Wei Ku
4. B. Liu
5. Huifeng Tang
6. Jun Suzuki
7. Abinash Tripathy
8. Yu-Ting Liang
9. Yulan He
10. Shilpa Arora

Papers from Hiroya Takamura's perspective

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

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

Their papers

• Controlling Output Length in Neural Encoder-Decoders (2016) — 254 citations
• Generating Live Soccer-Match Commentary from Play Data (2019) — 32 citations
• Learning to Select, Track, and Generate for Data-to-Text (2019) — 50 citations
• Extracting Semantic Orientations of Words using Spin Model (2005) — 406 citations
• Sentiment Classification Using Word Sub-sequences and Dependency Sub-trees (2005) — 234 citations
• Towards Table-to-Text Generation with Numerical Reasoning (2021) — 71 citations