Jocelyn Faubert

Artificial Intelligence · 2012–2019

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jocelyn Faubert trusts overall

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

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

Papers from Jocelyn Faubert's perspective

Ordered by how strongly the researchers Jocelyn Faubert 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. Gradient-based learning applied to document recognition
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. ImageNet Large Scale Visual Recognition Challenge
  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. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers