Bert Vankeirsbilck

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bert Vankeirsbilck trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Karen Simonyan
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Matthew D. Zeiler
  8. Kaiming He

Papers from Bert Vankeirsbilck's perspective

Ordered by how strongly the researchers Bert Vankeirsbilck 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Dropout: a simple way to prevent neural networks from overfitting
  8. Rectified Linear Units Improve Restricted Boltzmann Machines
  9. Long Short-Term Memory
  10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers