Paul de Kerret

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 33 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Paul de Kerret trusts overall

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

  1. Yann LeCun
  2. Geoffrey E. Hinton
  3. Tim O'Shea
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Diederik P. Kingma
  7. Jakob Hoydis
  8. L. Eon Bottou
  9. Alex Krizhevsky
  10. Neev Samuel

Who trusts Paul de Kerret overall

  1. Hoon Lee
  2. Sang Hyun Lee
  3. Mark Eisen
  4. David Gesbert
  5. Alessio Zappone
  6. Tony Q. S. Quek
  7. Harald Bayerlein
  8. Minhoe Kim
  9. Wenchao Xia
  10. Alejandro Ribeiro

Papers from Paul de Kerret's perspective

Ordered by how strongly the researchers Paul de Kerret 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers