Hong-Kwang Jeff Kuo

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Hong-Kwang Jeff Kuo trusts overall

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

  1. Stanley F. Chen
  2. Brian Kingsbury
  3. Tara N. Sainath
  4. Andreas Stolcke
  5. Hagen Soltau
  6. Holger Schwenk
  7. Frank Torsten Bernd Seide
  8. Yoshua Bengio
  9. George Saon
  10. Geoffrey E. Hinton

Who trusts Hong-Kwang Jeff Kuo overall

  1. Wayne Xiong
  2. Andreas Stolcke
  3. Tom Sercu
  4. Jasha Droppo
  5. Ronan Collobert
  6. Seyed Omid Sadjadi

Papers from Hong-Kwang Jeff Kuo's perspective

Ordered by how strongly the researchers Hong-Kwang Jeff Kuo 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Dropout: a simple way to prevent neural networks from overfitting
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers