Rémi Strullu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rémi Strullu trusts overall

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

  1. Christian Szegedy
  2. Alex Krizhevsky
  3. Eric R. Ziegel
  4. Karen Simonyan
  5. Geoffrey E. Hinton
  6. Yann LeCun
  7. Yoshua Bengio
  8. Corinna Cortes
  9. Ilya Sutskever

Papers from Rémi Strullu's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Going deeper with convolutions
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Rectified Linear Units Improve Restricted Boltzmann Machines
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers