Gerben de Vries

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gerben de Vries trusts overall

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

  1. Chih-Jen Lin
  2. Christopher K. I. Williams
  3. Thorsten Joachims
  4. Stephan Bloehdorn
  5. Nino Shervashidze
  6. Heiko Paulheim
  7. John Shawe-Taylor
  8. Olivier Chapelle
  9. S. V. N. Vishwanathan
  10. Richard Socher

Who trusts Gerben de Vries overall

  1. Petar Ristoski
  2. Michael Sejr Schlichtkrull
  3. Heiko Paulheim
  4. Thomas Kipf
  5. Shikhar Vashishth
  6. Peter Bloem

Papers from Gerben de Vries's perspective

Ordered by how strongly the researchers Gerben de Vries 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers