Song Liu

Artificial Intelligence · with Collier · 2012

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Song Liu trusts overall

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

  1. Masashi Sugiyama
  2. Christopher K. I. Williams
  3. Kenji Yamanishi
  4. Jun'ichi Takeuchi
  5. Takafumi Kanamori
  6. Bernhard Schölkopf
  7. Francis R. Bach
  8. Alex Smola
  9. Taiji Suzuki
  10. Kenji Fukumizu

Who trusts Song Liu overall

  1. Naoya Takeishi
  2. Shuang Li
  3. Tom Diethe
  4. Charles Truong
  5. Yoshinobu Kawahara
  6. Yao Xie

Papers from Song Liu's perspective

Ordered by how strongly the researchers Song 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers