Yoshikazu Yamaguchi

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 Yoshikazu Yamaguchi trusts overall

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

1. Hank Liao
2. Geoffrey E. Hinton

Papers from Yoshikazu Yamaguchi's perspective

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

1. Distilling the Knowledge in a Neural Network (arXiv.org)
2. Speaker adaptation of context dependent deep neural networks
3. Learning small-size DNN with output-distribution-based criteria
4. Speaker adaptation of neural network acoustic models using i-vectors
5. Long Short-Term Memory
6. Fast speaker adaptation of hybrid NN/HMM model for speech recognition based on discriminative learning of speaker code
7. ImageNet classification with deep convolutional neural networks
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

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