Elias De Coninck

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Elias De Coninck trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. George A. Miller
  4. Yann LeCun
  5. David E. Rumelhart
  6. Alex Krizhevsky
  7. Paul A. Viola

Papers from Elias De Coninck's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet: A large-scale hierarchical image database
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Dropout: a simple way to prevent neural networks from overfitting
  6. Rectified Linear Units Improve Restricted Boltzmann Machines
  7. Distilling the Knowledge in a Neural Network (arXiv.org)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers