Joost Huizinga

Artificial Intelligence · 2019–2024

A researcher in the Science corpus: 5 papers; trusts 53 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Joost Huizinga trusts overall

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

  1. Richard S. Sutton
  2. Marc G. Bellemare
  3. J. Urgen Schmidhuber
  4. Geoffrey E. Hinton
  5. Tim Salimans
  6. Volodymyr Mnih
  7. Diederik P. Kingma
  8. Andrew Barto
  9. Yoshua Bengio
  10. Hado van Hasselt

Who trusts Joost Huizinga overall

  1. Tianjun Zhang
  2. Heinrich Kuttler
  3. Minqi Jiang
  4. Jeff Clune
  5. Sébastien Forestier
  6. Jiale Zhi
  7. Matthew J. Hausknecht
  8. Edward Grefenstette
  9. Lorenzo Steccanella
  10. Hung Yu Ling

Papers from Joost Huizinga's perspective

Ordered by how strongly the researchers Joost Huizinga 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. Reinforcement Learning: An Introduction
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers