Hitoshi Yamamoto

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Natural Language Processing — 9 citations into it
• Large Language Models — 5 citations into it

Whom Hitoshi Yamamoto trusts overall

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

1. Holger Schwenk
2. Andreas Stolcke
3. Tomas Mikolov
4. Yoshua Bengio
5. Robert C. Moore

Papers from Hitoshi Yamamoto's perspective

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

1. A Neural Probabilistic Language Model
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Recurrent neural network based language model
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Factored recurrent neural network language model in TED lecture transcription (2012) — 12 citations