David Martinus Johannes Tax

Artificial Intelligence · 1999–2014

A researcher in the Science corpus: 8 papers; trusts 16 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom David Martinus Johannes Tax trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Vladimir Naumovich Vapnik
  3. David John Cameron MacKay
  4. Robert P. W. Duin
  5. Bernhard Schölkopf
  6. Yann LeCun
  7. Alex Smola
  8. Yoshua Bengio
  9. Geoffrey E. Hinton
  10. Andrew P. Bradley

Who trusts David Martinus Johannes Tax overall

  1. Marius Kloft
  2. Shehroz S. Khan
  3. Mateusz Buda
  4. Geli Fei
  5. Robert P. W. Duin
  6. Stefania Matteoli
  7. Michael G. Madden
  8. Guansong Pang
  9. Sun-Yuan Kung
  10. Heiko Hoffmann

Papers from David Martinus Johannes Tax's perspective

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

Their papers