Jaap van den Herik

Computer Vision and Pattern Recognition · 2008–2009

A researcher in the Science corpus: 2 papers; trusts 69 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jaap van den Herik trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Radford M. Neal
  4. Josh Tenenbaum
  5. Christopher K. I. Williams
  6. Sam T. Roweis
  7. Yann LeCun
  8. Alex Krizhevsky
  9. Bernhard Schölkopf
  10. Teuvo Kohonen

Who trusts Jaap van den Herik overall

  1. L. V. D. van der Maaten
  2. Arjun Nitin Bhagoji
  3. Tarak Benkedjouh
  4. John P. Cunningham
  5. Jessica Clark
  6. Christoph Sommer
  7. Zrar Khald Abdul

Papers from Jaap van den Herik's perspective

Ordered by how strongly the researchers Jaap van den Herik 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers