Shin Kanouchi

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Natural Language Processing — 9 citations into it; #4,849 of 5,688 by trust here, #5,092 by citations
• Model Architectures — 5 citations into it

Whom Shin Kanouchi trusts overall

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

1. Ilya Sutskever
2. Dzmitry Bahdanau
3. Kyunghyun Cho
4. Yoshua Bengio
5. Tomas Mikolov
6. Rico Sennrich
7. Seiya Tokui
8. Thang Luong
9. Geoffrey E. Hinton
10. Oriol Vinyals

Who trusts Shin Kanouchi overall

1. Isaac Caswell
2. Parker Riley

Papers from Shin Kanouchi's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• Controlling the Voice of a Sentence in Japanese-to-English Neural Machine Translation (2016) — 44 citations