Jan N. van Rijn

Artificial Intelligence · 2014–2020

A researcher in the Science corpus: 7 papers; trusts 200 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

Whom Jan N. van Rijn trusts overall

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

  1. Frank Hutter
  2. Yoshua Bengio
  3. James Bergstra
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Chih-Jen Lin
  8. Joaquin Vanschoren
  9. Jasper Snoek
  10. Yann LeCun

Who trusts Jan N. van Rijn overall

  1. Marc-André Zöller
  2. Marco F. Huber
  3. Bernd Bischl
  4. Frank Hutter
  5. Philipp Probst
  6. Matthias Feurer
  7. Aaron Klein
  8. Valerio Perrone
  9. Stefan Falkner
  10. Qiang Gao

Papers from Jan N. van Rijn's perspective

Ordered by how strongly the researchers Jan N. van Rijn 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. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  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