Taichi Asami

Artificial Intelligence · 2017

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

Subfields

• Artificial Intelligence — 12 citations into it
• Signal Processing — 11 citations into it

Whom Taichi Asami trusts overall

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

1. Hank Liao
2. Geoffrey E. Hinton
3. Ossama Abdel-Hamid
4. Pawel Swietojanski
5. Dong Yu
6. George Saon
7. Oriol Vinyals
8. S. Renals
9. Hui Jiang
10. Takuya Yoshioka

Who trusts Taichi Asami overall

1. Shahram Ghorbani
2. Peng Shen
3. Jianping Gou
4. Tatiana Likhomanenko
5. Sungho Shin
6. Xugang Lu
7. Ahmet Emin Bulut
8. Baosheng Yu

Papers from Taichi Asami's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Distilling the Knowledge in a Neural Network (arXiv.org)
7. Attention is All you Need (Neural Information Processing Systems)
8. A Fast Learning Algorithm for Deep Belief Nets
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Domain adaptation of DNN acoustic models using knowledge distillation (2017) — 90 citations