Andrew Kae

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew Kae trusts overall

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

  1. Geoffrey E. Hinton
  2. Gary B. Huang
  3. Ruslan Salakhutdinov
  4. Michael I. Jordan
  5. Lawrence K. Saul
  6. Kevin P. Murphy
  7. Yann LeCun
  8. Alex Krizhevsky
  9. Yoshua Bengio
  10. Lior Wolf

Who trusts Andrew Kae overall

  1. Tom Véniat
  2. Ludovic Denoyer
  3. Saurabh Saxena
  4. Peiyun Hu
  5. Saining Xie
  6. Kihyuk Sohn
  7. Michael Gygli
  8. Yuval Nirkin
  9. Mickaël Chen
  10. Siqi Nie

Papers from Andrew Kae's perspective

Ordered by how strongly the researchers Andrew Kae 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers