Ken-ichi Iso

Artificial Intelligence · 2004–2016

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Signal Processing — 20 citations into it
• Efficiency & Compression — 8 citations into it
• Speech & Audio — 7 citations into it
• Model Architectures — 6 citations into it

Whom Ken-ichi Iso trusts overall

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

1. Brian Kingsbury
2. Hagen Soltau
3. Tara N. Sainath
4. George Saon
5. Geoffrey E. Hinton
6. Jinyu Li
7. Frank Torsten Bernd Seide
8. Karel Veselý
9. Andrew W. Senior
10. Dong Yu

Papers from Ken-ichi Iso's perspective

Ordered by how strongly the researchers Ken-ichi Iso trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Attention is All you Need (Neural Information Processing Systems)
7. Distilling the Knowledge in a Neural Network (arXiv.org)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. A Fast Learning Algorithm for Deep Belief Nets
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Wise teachers train better DNN acoustic models (2016) — 22 citations
• Wise teachers train better DNN acoustic models (2016)
• Speech-activated text retrieval system for multimodal cellular phones (2004) — 9 citations