Joseph Salmon

Artificial Intelligence · 2011–2016

A researcher in the Science corpus: 4 papers; trusts 35 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph Salmon trusts overall

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

  1. Laurent Cavalier
  2. Alexandre B. Tsybakov
  3. Julien Mairal
  4. Alessandro Foi
  5. Francis R. Bach
  6. Vladimir Katkovnik
  7. Charles Kervrann
  8. David A. McAllester
  9. Ajit Paul Singh
  10. Geoffrey J. Gordon

Who trusts Joseph Salmon overall

  1. Feifan Lv
  2. Hanlin Tang
  3. Aurélien Bellet
  4. Paul Vanhaesebrouck
  5. Yu Li
  6. Inês Almeida

Papers from Joseph Salmon's perspective

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

Their papers