Kaoru Yamamoto

Artificial Intelligence · 2004

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it

Whom Kaoru Yamamoto trusts overall

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

1. Andrew McCallum
2. Fuchun Peng
3. John D. Lafferty
4. Fei Sha
5. Fernando C Pereira
6. Stephen Della Pietra
7. David Pinto

Who trusts Kaoru Yamamoto overall

1. Takaaki Hori
2. Shinji Watanabe
3. Graham Neubig
4. Robyn Speer
5. Yuki Arase
6. Noah A. Smith
7. Shiliang Sun
8. Hieu-Thi Luong
9. Tsugumi Otsuka
10. Xiaofeng Wu

Papers from Kaoru Yamamoto's perspective

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

1. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet classification with deep convolutional neural networks
7. Shallow Parsing with Conditional Random Fields
8. Gradient-based learning applied to document recognition
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Applying Conditional Random Fields to Japanese Morphological Analysis (2004) — 950 citations