Cedric De Boom

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 3 papers; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Cedric De Boom trusts overall

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

  1. Tomas Mikolov
  2. Quoc V. Le
  3. Jason Aaron Edward Weston
  4. Ronan Collobert
  5. Rie Johnson
  6. Yann LeCun
  7. Geoffrey E. Hinton
  8. Yoshua Bengio
  9. Baotian Hu
  10. Ilya Sutskever

Who trusts Cedric De Boom overall

  1. Alfirna Rizqi Lahitani
  2. Dimitrios Bountouridis
  3. Steven Van Canneyt
  4. Adhistya Erna Permanasari

Papers from Cedric De Boom's perspective

Ordered by how strongly the researchers Cedric De Boom 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers