Hidetaka Kamigaito
Natural Language Processing · 2018–2021
A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 38 citations into it
- Artificial Intelligence — 36 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
- Evaluation & Benchmarks — 7 citations into it
Whom Hidetaka Kamigaito trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mihir Kale
- Ilya Sutskever
- Chin-Yew Lin
- Geoffrey E. Hinton
- Yoshua Bengio
- Oriol Vinyals
- Diederik P. Kingma
- Alex Krizhevsky
- Jacob Devlin
- Alex Graves
Papers from Hidetaka Kamigaito's perspective
Ordered by how strongly the researchers Hidetaka Kamigaito 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Towards Table-to-Text Generation with Numerical Reasoning (2021) — 71 citations
- An Empirical Study of Building a Strong Baseline for Constituency Parsing (2018) — 16 citations