Si Liu

Artificial Intelligence · with Dietterich · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Si Liu trusts overall

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

  1. Walter J. Scheirer
  2. Pascal Massart
  3. Dan Hendrycks
  4. Fei Tony Liu
  5. Tomás Pevný
  6. Terrance E. Boult
  7. Kevin Gimpel
  8. Lalit P. Jain
  9. Kai Ming Ting
  10. Anderson de Rezende Rocha

Who trusts Si Liu overall

  1. Dan Hendrycks
  2. Alexander Meinke
  3. Saikiran Bulusu
  4. Matthias Hein
  5. Thomas G. Dietterich

Papers from Si Liu's perspective

Ordered by how strongly the researchers Si Liu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers