Ryan Price

Artificial Intelligence · 2016

A researcher in the Science corpus: 2 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 Ryan Price trusts overall

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

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

Who trusts Ryan Price overall

1. Jianping Gou

Papers from Ryan Price's perspective

Ordered by how strongly the researchers Ryan Price 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. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Distilling the Knowledge in a Neural Network (arXiv.org)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Wise teachers train better DNN acoustic models (2016) — 22 citations
• Wise teachers train better DNN acoustic models (2016)