Andrew B. Gardner

Journal of machine learning research · with Krieger · 2006

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Andrew B. Gardner trusts overall

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

  1. C. Burges
  2. Kristin P. Bennett
  3. Bernhard Schölkopf
  4. Vladimir Naumovich Vapni
  5. K. Müller
  6. Colin Campbell
  7. John C. Platt
  8. Sebastian Mika

Who trusts Andrew B. Gardner overall

  1. Shehroz S. Khan
  2. Ali H. Shoeb
  3. Alexandros T. Tzallas
  4. Michael G. Madden
  5. John V. Guttag
  6. Markos G. Tsipouras

Papers from Andrew B. Gardner's perspective

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

  1. The Nature of Statistical Learning Theory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers