K. Shinoda

Artificial Intelligence · 2000–2018

A researcher in the Science corpus: 5 papers; trusts 82 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom K. Shinoda trusts overall

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

  1. Brian Kingsbury
  2. Geoffrey E. Hinton
  3. Sergey Ioffe
  4. Xiaodong Yang
  5. Daniel Garcia-Romero
  6. Tara N. Sainath
  7. Hagen Soltau
  8. Yoshua Bengio
  9. George Saon
  10. Yann LeCun

Who trusts K. Shinoda overall

  1. Keiichi Tokuda
  2. Heiga Zen
  3. Tomoki Toda
  4. Oliver Watts
  5. Junichi Yamagishi
  6. Zhenhua Ling
  7. Minyoung Kim
  8. Matt Shannon
  9. Alan W. Black
  10. Yuchen Fan

Papers from K. Shinoda's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers