Naoaki Okazaki
Natural Language Processing · 2006–2019
A researcher in the Science corpus: 6 papers; trusts 79 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 74 citations into it; #3,104 of 5,688 by trust here, #3,154 by citations
- Artificial Intelligence — 67 citations into it; #16,921 of 35,345 by trust here, #14,181 by citations
- Computer Vision and Pattern Recognition — 23 citations into it
- Model Architectures — 19 citations into it
- Evaluation & Benchmarks — 9 citations into it
Whom Naoaki Okazaki trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Alex Graves
- Sepp Hochreiter
- Diederik P. Kingma
- Yann LeCun
- J. Urgen Schmidhuber
- Alex Krizhevsky
- Yuhai Wu
Who trusts Naoaki Okazaki overall
Papers from Naoaki Okazaki's perspective
Ordered by how strongly the researchers Naoaki Okazaki trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Neural Headline Generation on Abstract Meaning Representation (2016) — 172 citations
- Dynamic Entity Representation with Max-pooling Improves Machine Reading (2016) — 41 citations
- Learning to Select, Track, and Generate for Data-to-Text (2019) — 50 citations
- Handling Multiword Expressions in Causality Estimation (2017) — 29 citations
- Source-side Prediction for Neural Headline Generation (2017) — 9 citations
- A Bottom-Up Approach to Sentence Ordering for Multi-Document Summarization (2006) — 118 citations