Mark Hoogendoorn

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 5 papers; trusts 322 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Mark Hoogendoorn trusts overall

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

  1. Taco Cohen
  2. Alex Krizhevsky
  3. Nikolaus Hansen
  4. Max Welling
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Yann LeCun
  8. Yoshua Bengio
  9. Kaiming He
  10. Daniel E. Worrall

Who trusts Mark Hoogendoorn overall

  1. David W. Romero
  2. Erik J. Bekkers
  3. Agoston E. Eiben
  4. J. Tomczak

Papers from Mark Hoogendoorn's perspective

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

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

Their papers